All Publications

2024

Halfpap, S., Schlosser, R.: Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads. CIKM 2024, accepted (2024).

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Halfpap, S., Kossmann, J., Schlosser, R., Markl, V.: Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches. VLDB 2024, PVLDB 17 (12), accepted (2024).

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Mattes, P., Schlosser, R., Herbrich, R.: Hieros: Hierarchical Imagination on Structured State Space Sequence World Models. ICML 2024, accepted (2024).

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Riekenbrauck, N., Weisgut, M., Lindner, D., Rabl, T.: A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems. Joint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems @ ICDE 2024 (2024).

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Groeneveld, J., Herrmann, J., Mollenhauer, N., Dreessen, L., Bessin, N., Schulze-Tast, J., Kastius, A., Huegle, J., Schlosser, R.: Self-Learning Agents for Recommerce Markets. Business & Information Systems Engineering 66 (4). 441–463 (2024).

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2023

Schlosser, R., Weisgut, M., Huebscher, L., Nordemann, O.: Robust Index Selection for Stochastic Dynamic Workloads. Springer Nature Computer Science. 4 (1), 59 (2023).

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Perscheid, M., Plattner, H., Ritter, D., Schlosser, R., Teusner, R.: Enterprise Platform and Integration Concepts Research at HPI. ACM SIGMOD Record. 51 (4), 68–73 (2023).

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Schröder, K., Kastius, A., Schlosser, R.: Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms. ICORES 2023. pp. 143–150 (2023).

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Hurdelhey, B., Weisgut, M., Boissier, M.: Workload-Driven Data Placement for Tierless In-Memory Database Systems. Datenbanksysteme für Business, Technologie und Web, BTW. pp. 47–70. Gesellschaft für Informatik e.V (2023).

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Schlosser, R., Chenavaz, R.: Joint Dynamic Pricing and Marketing-Mix Strategies for Revenue Management Applications with Stochastic Demand. International Transactions in Operational Research, accepted. (2023).

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Schlosser, R., Gönsch, J.: Risk-Averse Dynamic Pricing using Mean-Semivariance Optimization. European Journal of Operational Research. 310 (1), 1151–1163 (2023).

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Huegle, J., Hagedorn, C., Schlosser, R.: A kNN-based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery. ECML-PKDD 2023, accepted (2023).

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Matthies, C., Heinrich, R., Wohlrab, R.: Investigating Software Engineering Artifacts in DevOps Through the Lens of Boundary Objects. Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. ACM (2023).

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Klinke, P., Naumann, A., Wersich, R., Schlosser, R.: Coopetition: Learning to Play Skat using Reinforcement Learning. EGAI @ ECAI 2023 (2023).

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10.

Schröder, K., Kastius, A., Schlosser, R.: A Comparison of State-of-the-Art Reinforcement Learning Algorithms Applied to the Traveling Salesman Problem. The Knowledge Engineering Review, accepted. (2023).

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2022

Chenavaz, R., Klibi, W., Schlosser, R.: Dynamic Pricing with Reference Price Effects in Integrated Online and Offline Retailing. International Journal of Production Research. 60, 5854–5875 (2022).

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Bodner, T., Pietz, T., Bollmeier, L.J., Ritter, D.: Doppler: Understanding Serverless Query Execution. Proceedings of the SIGMOD Workshop on Big Data in Emergent Distributed Environments. (2022).

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Boissier, M.: Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems. Proceedings of the VLDB Endowment. pp. 780–793 (2022).

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Braun, T., Hurdelhey, B., Meier, D., Tsayun, P., Hagedorn, C., Huegle, J., Schlosser, R.: GPUCSL: GPU-Based Library for Causal Structure Learning. ICDM Open Project Forum. pp. 1236–1239 (2022).

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Kastius, A., Schlosser, R.: Multi-Agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information. Operations Research Proceedings (OR2022), to appear (2022).

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Schlosser, R., Kastius, A.: A Conceptual Framework for Studying Self-Learning Agents in Recommerce Markets. Operations Research Proceedings (OR 2022), to appear (2022).

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Richly, K., Schlosser, R., Boissier, M.: Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications. Proceedings of the VLDB Endowment. pp. 4079–4092 (2022).

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Hagedorn, C., Lange, C., Huegle, J., Schlosser, R.: GPU Acceleration for Information-theoretic Constraint-based Causal Discovery. In: Le, T.D., Liu, L., Kıcıman, E., Triantafyllou, S., and Liu, H. (eds.) Proceedings of The KDD’22 Workshop on Causal Discovery, Proceedings of Machine Learning Research (PMLR) 185. pp. 30–60 (2022).

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Figge, F., Dimitrov, S., Schlosser, R., Chenavaz, R.: Does the circular economy fuel the throwaway society? The role of opportunity costs for products that lose value over time. Journal of Cleaner Production. 368 (133207), (2022).

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10.

Lindner, D., Schumann, F., Alder, N., Bleifuss, T., Bornemann, L., Naumann, F.: Mining Change Rules. Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022. pp. 2:91–2:103 (2022).

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11.

Justen, D.: Cost-efficiency and Performance Robustness in Serverless Data Exchange. Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), Student Research Competition. pp. 2506–2508. Association for Computing Machinery, New York, NY, USA (2022).

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12.

Paula, D.D., Hahn, D., Matthies, C., Uebernickel, F.: InnoPulse: a Tool to Support Collaborative Reflection in Creativity-Driven Engineering Projects. Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2022).

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13.

Perscheid, M., Plattner, H., Ritter, D., Schlosser, R., Teusner, R.: Das Fachgebiet “Enterprise Platform and Integration Concepts” am Hasso-Plattner-Institut. Datenbank-Spektrum. 22, 175–180 (2022).

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14.

Schlosser, R., Westphal, J., Pörschke, M., Maltenberger, T., Kaminsky, Y.: Self-Adaptive Agents in a Dynamic Pricing Duopoly: Competition, Collusion, and Risk Considerations. Springer Nature Computer Science. 3 (3), 1–17 (2022).

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15.

Hagedorn, C., Huegle, J., Schlosser, R.: Understanding Unforeseen Production Downtimes in Manufacturing Processes using Log Data-driven Causal Reasoning. Journal of Intelligent Manufacturing. 33, 2027–2043 (2022).

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16.

Weisgut, M., Ritter, D., Boissier, M., Perscheid, M.: Separated Allocator Metadata in Disaggregated In-Memory Databases: Friend or Foe?. 1st Workshop on Composable Systems (COMPSYS@IPDPS), awarded as best paper (2022).

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17.

Kossmann, J., Kastius, A., Schlosser, R.: SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. 25th International Conference on Extending Database Technology (EDBT 2022). pp. 155–168 (2022).

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18.

Schlosser, R., Kastius, A.: Stochastic Dynamic Pricing under Duopoly Competition with Mutual Strategy Adjustments. Operations Research Proceedings (OR 2021). pp. 367–372 (2022).

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19.

Kastius, A., Schlosser, R.: Towards Transfer Learning for Revenue and Pricing Management. Operations Research Proceedings, OR2021. pp. 361–366 (2022).

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20.

Richly, K., Schlosser, R., Brauer, J.: Enabling Risk-averse Dispatch Processes for Transportation Network Companies by Probabilistic Location Prediction. Communications in Computer and Information Science, Springer. 1623, 21–42 (2022).

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21.

Weisgut, M., Hübscher, L., Nordemann, O., Schlosser, R.: Solver-Based Approaches for Robust Multi-Index Selection Problems with Reconfiguration Costs under Stochastic Dynamic Workloads. 11th International Conference on Operations Research and Enterprise Systems (ICORES 2022). pp. 28–39 (2022).

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22.

Kossmann, J., Lindner, D., Naumann, F., Papenbrock, T.: Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. Proceedings of the Conference on Innovative Data Systems Research (CIDR) (2022).

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23.

Kastius, A., Schlosser, R.: Dynamic Pricing under Competition using Reinforcement Learning. Journal of Revenue and Pricing Management. 21, 50–63 (2022).

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24.

Schlosser, R.: Heuristic Mean Variance Optimization in Markov Decision Processes using State-Dependent Risk Aversion. IMA Journal of Management Mathematics. 33 (2), 181–199 (2022).

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25.

Matthies, C., Teusner, R., Perscheid, M.: Challenges (and Opportunities!) of a Remote Agile Software Engineering Project Course During COVID-19. Proceedings of the 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2022).

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2021

Kossmann, J., Boissier, M., Dubrawski, A., Heseding, F., Mandel, C., Pigorsch, U., Schneider, M., Schniese, T., Sobhani, M., Tsayun, P., Wille, K., Perscheid, M., Uflacker, M., Plattner, H.: A Cockpit for the Development and Evaluation of Autonomous Database Systems. 37th IEEE International Conference on Data Engineering, ICDE. pp. 2685–2688 (2021).

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@inproceedings{kossmann2021cockpit,
  abstract = {Databases are highly optimized complex systems with a multitude of configuration options. Especially in cloud scenarios with thousands of database deployments, determining optimized database configurations in an automated fashion is of increasing importance for database providers. At the same time, due to increased system complexity, it becomes more challenging to identify well-performing configurations. Therefore, research interest in autonomous or self-driving database systems has increased enormously in recent years. Such systems promise both performance improvements and cost reductions. In the literature, various fully or partially autonomous optimization mechanisms exist that optimize single aspects, e.g., index selection. However, database administrators and developers often distrust autonomous approaches, and there is a lack of practical experimentation opportunities that could create a better understanding. Moreover, the interplay of different autonomous mechanisms under complex workloads remains an open question. The presented cockpit enables an interactive assessment of the impact of autonomous components for database systems by comparing (autonomous) systems with different configurations side by side. Thereby, the cockpit enables users to build trust in autonomous solutions by experimenting with such technologies and observing their effects in practice.},
  author = {Kossmann, Jan and Boissier, Martin and Dubrawski, Alexander and Heseding, Fabian and Mandel, Caterina and Pigorsch, Udo and Schneider, Max and Schniese, Til and Sobhani, Mona and Tsayun, Petr and Wille, Katharina and Perscheid, Michael and Uflacker, Matthias and Plattner, Hasso},
  booktitle = {37th IEEE International Conference on Data Engineering, ICDE},
  keywords = {adm autonomous database hyrise in-memory_database mboissierselected myown self-driving self-managing},
  pages = {2685-2688},
  title = {A Cockpit for the Development and Evaluation of Autonomous Database Systems},
  year = 2021
}

Hagedorn, C., Huegle, J.: Constraint-Based Causal Structure Learning in Multi-GPU Environments. In: Seidl, T., Fromm, M., and Obermeier, S. (eds.) Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021. pp. 106–118. CEUR-WS.org (2021).

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Serth, S., Teusner, R., Meinel, C.: Impact of Contextual Tips for Auto-Gradable Programming Exercises in MOOCs. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 307–310. ACM, Virtual Event, Germany (2021).

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Steinbeck, H., Teusner, R., Meinel, C.: Teaching the Masses on Twitch: An Initial Exploration of Educational Live-Streaming. Proceedings of the Eighth ACM Conference on Learning @ Scale. pp. 275–278. ACM, Virtual Event, Germany (2021).

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Serth, S., Staubitz, T., Teusner, R., Meinel, C.: CodeOcean and CodeHarbor: Auto-Grader and Code Repository. In: Shaffer, C., Brusilovsky, P., Koedinger, K., and Edwards, S. (eds.) SPLICE 2021 Workshop CS Education Infrastructure for All III: From Ideas to Practice. p. 5. 52nd ACM Technical Symposium on Computer Science Education, Virtual Event (2021).

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Dobrigkeit, F., Matthies, C., Pajak, P., Teusner, R.: Cherry Picking - Agile Software Development Teams Applying Design Thinking Tools. Agile Processes in Software Engineering and Extreme Programming textendash Workshops. pp. 201–206. Springer International Publishing (2021).

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Bethge, J., Serth, S., Staubitz, T., Wuttke, T., Nordemann, O., Das, P.-P., Meinel, C.: TransPipe - A Pipeline for Automated Transcription and Translation of Videos. Proceedings of the 7th European MOOC Stakeholder Summit (EMOOCs 2021). pp. 79–94. Universitätsverlag Potsdam, Potsdam, Germany (2021).

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Perscheid, C.: Comprior: facilitating the implementation and automated benchmarking of prior knowledge-based feature selection approaches on gene expression data sets. BMC Bioinformatics. 22, (2021).

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Lindner, D., Loeser, A., Kossmann, J.: Learned What-If Cost Models for Autonomous Clustering. New Trends in Database and Information Systems - ADBIS 2021 Short Papers, Doctoral Consortium and Workshops, Tartu, Estonia. pp. 3–13 (2021).

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10.

Kossmann, J., Papenbrock, T., Naumann, F.: Data dependencies for query optimization: a survey. VLDB Journal. (2021).

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11.

Weisgut, M.: Experimental Index Evaluation for Partial Indexes in Horizontally Partitioned In-Memory Databases. 32nd GI-Workshop on Foundations of Databases (GvDB) (2021).

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12.

Huegle, J., Hagedorn, C., Perscheid, M., Plattner, H.: MPCSL - A Modular Pipeline for Causal Structure Learning. Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. pp. 3068–3076. Association for Computing Machinery, New York, NY, USA (2021).

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13.

Huegle, J.: An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. pp. 4891–4892. International Joint Conferences on Artificial Intelligence Organization (2021).

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14.

Heinzl, L., Hurdelhey, B., Boissier, M., Perscheid, M., Plattner, H.: Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMS. International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS@VLDB (2021).

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15.

Hesse, G., Matthies, C., Perscheid, M., Uflacker, M., Plattner, H.: ESPBench: The Enterprise Stream Processing Benchmark. Proceedings of the ACM/SPEC International Conference on Performance Engineering. pp. 201–212 (2021).

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16.

Teusner, R.: Situational Interventions and Peer Feedback in Massive Open Online Courses, https://doi.org/10.25932/publishup-50758, (2021).

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@phdthesis{teusner2021situational,
  abstract = {Massive Open Online Courses (MOOCs) open up new opportunities to learn a wide variety of skills online and are thus well suited for individual education, especially where proffcient teachers are not available locally. At the same time, modern society is undergoing a digital transformation, requiring the training of large numbers of current and future employees. Abstract thinking, logical reasoning, and the need to formulate instructions for computers are becoming increasingly relevant. A holistic way to train these skills is to learn how to program. Programming, in addition to being a mental discipline, is also considered a craft, and practical training is required to achieve mastery. In order to effectively convey programming skills in MOOCs, practical exercises are incorporated into the course curriculum to offer students the necessary hands-on experience to reach an in-depth understanding of the programming concepts presented. Our preliminary analysis showed that while being an integral and rewarding part of courses, practical exercises bear the risk of overburdening students who are struggling with conceptual misunderstandings and unknown syntax. In this thesis, we develop, implement, and evaluate different interventions with the aim to improve the learning experience, sustainability, and success of online programming courses. Data from four programming MOOCs, with a total of over 60,000 participants, are employed to determine criteria for practical programming exercises best suited for a given audience. Based on over five million executions and scoring runs from students' task submissions, we deduce exercise difficulties, students' patterns in approaching the exercises, and potential flaws in exercise descriptions as well as preparatory videos. The primary issue in online learning is that students face a social gap caused by their isolated physical situation. Each individual student usually learns alone in front of a computer and suffers from the absence of a pre-determined time structure as provided in traditional school classes. Furthermore, online learning usually presses students into a one-size-fits-all curriculum, which presents the same content to all students, regardless of their individual needs and learning styles. Any means of a personalization of content or individual feedback regarding problems they encounter are mostly ruled out by the discrepancy between the number of learners and the number of instructors. This results in a high demand for self-motivation and determination of MOOC participants. Social distance exists between individual students as well as between students and course instructors. It decreases engagement and poses a threat to learning success. Within this research, we approach the identified issues within MOOCs and suggest scalable technical solutions, improving social interaction and balancing content difficulty. Our contributions include situational interventions, approaches for personalizing educational content as well as concepts for fostering collaborative problem-solving. With these approaches, we reduce counterproductive struggles and create a universal improvement for future programming MOOCs. We evaluate our approaches and methods in detail to improve programming courses for students as well as instructors and to advance the state of knowledge in online education. Data gathered from our experiments show that receiving peer feedback on one's programming problems improves overall course scores by up to 17%. Merely the act of phrasing a question about one's problem improved overall scores by about 14%. The rate of students reaching out for help was significantly improved by situational just-in-time interventions. Request for Comment interventions increased the share of students asking for help by up to 158%. Data from our four MOOCs further provide detailed insight into the learning behavior of students. We outline additional significant findings with regard to student behavior and demographic factors. Our approaches, the technical infrastructure, the numerous educational resources developed, and the data collected provide a solid foundation for future research.},
  author = {Teusner, Ralf},
  keywords = {MOOC collaboration intervention peer-feedback programming},
  month = {may},
  title = {Situational Interventions and Peer Feedback in Massive Open Online Courses},
  year = 2021
}

17.

Kaminsky, Y., Maltenberger, T., Pörschke, M., Westphal, J., Schlosser, R.: Pricing Competition in a Duopoly with Self-Adapting Strategies. 10th International Conference on Operations Research and Enterprise Systems (ICORES 2021). pp. 60–71 (2021).

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18.

Schlosser, R., Chenavaz, R., Dimitrov, S.: Circular Economy: Joint Dynamic Pricing and Recycling Investments. International Journal of Production Economics. 108117, 1–13 (2021).

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19.

Hagedorn, C., Huegle, J.: GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). pp. 37–45 (2021).

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20.

Richly, K., Schlosser, R., Brauer, J., Plattner, H.: A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry. HICSS 2021. pp. 1830–1840 (2021).

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21.

Matthies, C., Dobrigkeit, F.: Experience vs Data: A Case for More Data-Informed Retrospective Activities. Lecture Notes in Business Information Processing. pp. 130–144. Springer International Publishing (2021).

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22.

Richly, K., Schlosser, R., Boissier, M.: Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management. 37th IEEE International Conference on Data Engineering (ICDE). pp. 1901–1906 (2021).

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23.

Halfpap, S., Schlosser, R.: Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pp. 1811–1816 (2021).

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24.

Schlosser, R.: Scalable Relaxation Techniques to Solve Stochastic Dynamic Multi-Product Pricing Problems with Substitution Effects. Journal of Revenue and Pricing Management. 20 (1), 54–65 (2021).

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25.

Schlosser, R., Halfpap, S.: Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads. 24th International Conference on Extending Database Technology (EDBT 2021). pp. 367–372 (2021).

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26.

Huegle, J., Hagedorn, C., Uflacker, M.: Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung. In: Götz, S., Linsbauer, L., Schaefer, I., and Wortmann, A. (eds.) Software Engineering 2021 Satellite Events, Lecture Notes in Informatics (LNI). Gesellschaft für Informatik, Bonn (2021).

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27.

Hesse, G., Matthies, C., Uflacker, M.: How Fast Can We Insert? An Empirical Performance Evaluation of Apache Kafka. IEEE International Conference on Parallel and Distributed Systems (ICPADS). pp. 641–648 (2021).

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28.

Huegle, J., Hagedorn, C., Boehme, L., Poerschke, M., Umland, J., Schlosser, R.: MANM-CS: Data Generation for Benchmarking Causal Structure Learning from Mixed Discrete-Continuous and Nonlinear Data. WHY-21 @ NeurIPS 2021 (2021).

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2020

Schlosser, R.: Risk-Sensitive Control of Markov Decision Processes: A Moment-Based Approach with Target Distributions. Computers and Operations Research. 123 (104997), 1–15 (2020).

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Dreseler, M., Boissier, M., Rabl, T., Uflacker, M.: Quantifying TPC-H Choke Points and Their Optimizations. Proceedings of the VLDB Endowment. pp. 1206–1220 (2020).

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Dobrigkeit, F., de Paula, D., Carroll, N.: InnoDev Workshop: A One Day Introduction to Combining Design Thinking, Lean Startup and Agile Software Development. 2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE\&T). pp. 1–10. IEEE (2020).

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Matthies, C., Dobrigkeit, F., Hesse, G.: Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives. IEEE/ACM International Conference on Software Engineering Workshops (ICSEW). pp. 189–190. ACM, New York, NY, USA (2020).

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Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. In: Felderer, M., Hasselbring, W., Rabiser, R., and Jung, R. (eds.) Software Engineering 2020. pp. 73–74. Gesellschaft für Informatik e.V., Bonn (2020).

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Matthies, C.: Playing with Your Project Data in Scrum Retrospectives. Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings. pp. 113–115. ACM, New York, NY, USA (2020).

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Ramin, F., Matthies, C., Teusner, R.: More than Code: Contributions in Scrum Software Engineering Teams. Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. pp. 137–140. ACM, New York, NY, USA (2020).

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Halfpap, S., Schlosser, R.: Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures. CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management. pp. 3409–3412 (2020).

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Perscheid, C.: Integrative Biomarker Detection on High-Dimensional Gene Expression Data Sets: A Survey on Prior Knowledge Approaches. Briefings in Bioinformatics. (2020).

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10.

Huegle, J., Hagedorn, C., Uflacker, M.: How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. In: Bessiere, C. (ed.) Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20. pp. 5246–5248. International Joint Conferences on Artificial Intelligence Organization (2020).

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11.

Kossmann, J., Halfpap, S., Jankrift, M., Schlosser, R.: Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms. Proceedings of the VLDB Endowment. pp. 2382–2395 (2020).

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12.

Schlosser, R., Halfpap, S.: A Decomposition Approach for Risk-Averse Index Selection. 32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020). pp. 16:1–16:4 (2020).

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13.

Matthies, C., Dobrigkeit, F.: Towards Empirically Validated Remedies for Scrum Retrospective Headaches. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS) (2020).

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14.

Schlosser, R.: Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers. Communications in Computer and Information Science (CCIS), Vol. 1162. pp. 47–69. Springer (2020).

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15.

Dobrigkeit, F., Pajak, P., de Paula, D., Uflacker, M.: DT@ IT Toolbox: Design Thinking Tools to Support Everyday Software Development. In: Meinel, C. and Leifer, L. (eds.) Design Thinking Research: Investigating Design Team Performance. pp. 201–227. Springer (2020).

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16.

Lambers, L., Schneider, S., Weisgut, M.: Model-Based Testing of Read Only Graph Queries. International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (2020).

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17.

Richly, K., Brauer, J., Schlosser, R.: Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies Based on Trajectory Data. 9th International Conference on Operations Research and Enterprise Systems, ICORES 2020. pp. 47–58 (2020).

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18.

Bodner, T.: Elastic Query Processing on Function as a Service Platforms. Proceedings of the VLDB PhD Workshop. (2020).

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19.

Schmidt, C., Huegle, J.: Towards a GPU-Accelerated Causal Inference. HPI Future SOC Lab - Proceedings 2017. pp. 187–194 (2020).

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20.

Schmidt, C., Huegle, J., Horschig, S., Uflacker, M.: Out-of-Core GPU-Accelerated Causal Structure Learning. Algorithms and Architectures for Parallel Processing. ICA3PP 2019. pp. 89–104. Springer International Publishing (2020).

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21.

Kossmann, J., Schlosser, R.: Self-driving database systems: a conceptual approach. Distributed and Parallel Databases. 38 (4), 795–817 (2020).

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22.

Serth, S., Teusner, R., Meinel, C.: Digitale Arbeitsblätter mit interaktiven Programmieraufgaben im Informatik-Unterricht. In: Zender, R., Ifenthaler, D., Leonhardt, T., and Schumacher, C. (eds.) Lecture Notes in Informatics (LNI) - Proceedings: DELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. pp. 235–246. Gesellschaft für Informatik e.V. (GI), Bonn, Germany (2020).

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2019

Matthies, C.: Agile Process Improvement in Retrospectives. 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). pp. 150–152. IEEE (2019).

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Dobrigkeit, F., de Paula, D.: Design thinking in practice: understanding manifestations of design thinking in software engineering. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2019. pp. 1059–1069. ACM Press, Tallinn, Estonia (2019).

[ BibTeX ] [ URL ]

De Paula, D., Dobrigkeit, F., Cormican, K.: Doing it Right - Critical Success Factors for Design Thinking Implementation. 1, 3851–3860 (2019).

[ BibTeX ] [ URL ]

Matthies, C., Dobrigkeit, F., Hesse, G.: An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives. IEEE/ACM International Workshop on Bots in Software Engineering (BotSE). pp. 34–37. IEEE (2019).

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Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET). pp. 158–169. IEEE (2019).

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Boissier, M., Jendruk, M.: Workload-Driven and Robust Selection of Compression Schemes for Column Stores. 22nd International Conference on Extending Database Technology, EDBT. pp. 674–677 (2019).

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Schlosser, R., Kossmann, J., Boissier, M.: Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies. 35th IEEE International Conference on Data Engineering, ICDE. pp. 1238–1249. IEEE (2019).

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Perscheid, C., Uflacker, M.: Integrating Biological Context into the Analysis of Gene Expression Data. In: Rodríguez, S., Prieto, J., Faria, P., Kłos, S., Fernández, A., Mazuelas, S., Jiménez-López, M.D., Moreno, M.N., and Navarro, E.M. (eds.) Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. pp. 339–343. Springer International Publishing, Cham (2019).

[ BibTeX ]

Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1746–1749 (2019).

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10.

Schlosser, R.: Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects. 8th International Conference on Operations Research and Enterprise Systems, ICORES 2019. pp. 179–188 (2019).

[ BibTeX ]

11.

Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). pp. 100–106 (2019).

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12.

Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15–29 (2019).

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13.

Dreseler, M., Kossmann, J., Boissier, M., Klauck, S., Uflacker, M., Plattner, H.: Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management. 22nd International Conference on Extending Database Technology (EDBT). pp. 313–324 (2019).

[ BibTeX ] [ URL ] [ Download ]

@inproceedings{dreseler2018,
  abstract = {Research in data management profits when the performance evaluation is based not only on individual components in isolation, but uses an actual DBMS end-to-end. Facilitating the integration and benchmarking of new concepts within a DBMS requires a simple setup process, well-documented code, and the possibility to execute both standard and custom benchmarks without tedious preparation. Fulfilling these requirements also makes it easy to reproduce the results later on. The relational open-source database Hyrise (VLDB, 2010) was presented to make the case for hybrid row- and column-format data storage. Since then, it has evolved from being a single- purpose research DBMS towards becoming a platform for various projects, including research in the areas of indexing, data partitioning, and non-volatile memory. With a growing diversity of topics, we have found that the original code base grew to a point where new experimentation became unnecessarily difficult. Over the last two years, we have re-written Hyrise from scratch and built an extensible multi-purpose research DBMS that can serve as an easy-to-extend platform for a variety of experiments and prototyping in database research. In this paper, we discuss how our learnings from the previous version of Hyrise have influenced our re-write. We describe the new architecture of Hyrise and highlight the main components. Afterwards, we show how our extensible plugin architecture facilitates research on diverse DBMS-related aspects without compromising the architectural tidiness of the code. In a first performance evaluation, we show that the execution time of most TPC-H queries is competitive to that of other research databases.},
  author = {Dreseler, Markus and Kossmann, Jan and Boissier, Martin and Klauck, Stefan and Uflacker, Matthias and Plattner, Hasso},
  booktitle = {22nd International Conference on Extending Database Technology (EDBT)},
  keywords = {adm hyrise mboissierselected myown},
  month = 3,
  pages = {313-324},
  title = {Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management},
  year = 2019
}

14.

Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects. Journal of Revenue & Pricing Management. 18, 451–464 (2019).

[ BibTeX ]

15.

Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 2008–2011 (2019).

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16.

Klauck, S., Plauth, M., Knebel, S., Strobl, M., Santry, D., Eggert, L.: Eliminating the Bandwidth Bottleneck of Central Query Dispatching Through TCP Connection Hand-Over. Datenbanksysteme für Business, Technologie und Web (BTW), 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS). pp. 97–106 (2019).

[ BibTeX ] [ URL ]

17.

Hesse, G., Matthies, C., Sinzig, W., Uflacker, M.: Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case. In: Li, G., Yang, J., Gama, J., Natwichai, J., and Tong, Y. (eds.) International Conference on Database Systems for Advanced Applications (DASFAA). pp. 528–532. Springer International Publishing (2019).

[ BibTeX ] [ URL ] [ Download ]

18.

Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018. pp. 397–403 (2019).

[ BibTeX ]

19.

Matthies, C., Hesse, G.: Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data. International Conference on Software Technologies (ICSOFT). pp. 552–559. SciTePress (2019).

[ BibTeX ] [ URL ] [ Download ]

20.

Schmidt, C., Huegle, J., Bode, P., Uflacker, M.: Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data. SIGKDD Workshop on Causal Discovery. pp. 59–77 (2019).

[ BibTeX ] [ URL ]

21.

Halfpap, S.: Efficient Scale-Out Using Query-Driven Workload Distribution and Fragment Allocation. Proceedings of the VLDB 2019 PhD Workshop co-located with the 45th International Conference on Very Large Databases (VLDB 2019) (2019).

[ BibTeX ] [ URL ]

22.

Dreseler, M.: Storing STL Containers on NVM. Persistent Programming in Real Life (2019).

[ BibTeX ] [ Download ]

23.

Schmidt, C., Uflacker, M.: Workload-Driven Data Placement for GPU-Accelerated Database Management Systems. Datenbanksysteme für Business, Technologie und Web BTW 2019, 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband (2019).

[ BibTeX ] [ URL ] [ Download ]

24.

Hesse, G., Matthies, C., Glass, K., Huegle, J., Uflacker, M.: Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. IEEE International Conference on Distributed Computing Systems (ICDCS). pp. 1381–1392 (2019).

[ BibTeX ] [ URL ] [ Download ]

25.

Richly, K.: Optimized Spatio-Temporal Data Structures for Hybrid Transactional and Analytical Workloads on Columnar In-Memory Databases. Proceedings of the VLDB 2019 PhD Workshop, co-located with the 45th International Conference on Very Large Databases (VLDB 2019). (2019).

[ BibTeX ]

26.

Matthies, C.: Feedback in Scrum: Data-Informed Retrospectives. 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). pp. 198–201. IEEE (2019).

[ BibTeX ] [ URL ] [ Download ]

27.

Grasnick, B., Perscheid, C., Uflacker, M.: A Framework for the Automatic Combination and Evaluation of Gene Selection Methods. In: Fdez-Riverola, F., Mohamad, M.S., Rocha, M., Paz, J.F.D., and González, P. (eds.) 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) 2018. Springer (2019).

[ BibTeX ]

28.

Matthies, C., Dobrigkeit, F., Ernst, A.: Counteracting Agile Retrospective Problems with Retrospective Activities. In: Walker, A., O’Connor, R.V., and Messnarz, R. (eds.) Systems, Software and Services Process Improvement. EuroSPI 2019. Communications in Computer and Information Science. pp. 532–545. Springer International Publishing (2019).

[ BibTeX ] [ Download ]

29.

Serth, S., Teusner, R., Renz, J., Uflacker, M.: Evaluating Digital Worksheets with Interactive Programming Exercises for K-12 Education. Proceedings of the 2019 IEEE Frontiers in Education Conference (FIE). IEEE (2019).

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30.

Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science. pp. 15–36. Springer (2019).

[ BibTeX ]

31.

Hesse, G., Sinzig, W., Matthies, C., Uflacker, M.: Application of Data Stream Processing Technologies in Industry 4.0: What is Missing?. International Conference on Data Science, Technology and Applications (DATA). pp. 304–310. SciTePress (2019).

[ BibTeX ] [ URL ] [ Download ]

2018

Schmidt, C., Huegle, J., Uflacker, M.: Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. SSDBM ’18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management. pp. 19:1–19:10. ACM, New York, NY, USA (2018).

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Perscheid, C., Faber, L., Kraus, M., Arndt, P., Janke, M., Rehfeldt, S., Schubotz, A., Slosarek, T., Uflacker, M.: A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data. The 9th Workshop on Integrative Data Analysis in Systems Biology (IDASB), IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018).

[ BibTeX ]

Matthies, C., Teusner, R., Hesse, G.: Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts. IEEE Frontiers in Education Conference (FIE). pp. 1–9 (2018).

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Teusner, R., Hille, T.: On the Impact of Programming Exercise Descriptions. Proceedings of the 2018 Learning With MOOCS (LWMOOCS2018). pp. 51–54. IEEE (2018).

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Teusner, R., Hille, T., Staubitz, T.: Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment. L@S 2018: Fifth Annual ACM Conference on Learning at Scale (2018).

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Dobrigkeit, F., de Paula, D., Uflacker, M.: Breaks with a Purpose. Design Thinking Research. pp. 59–76. Springer (2018).

[ BibTeX ]

Paula, D. de, Dobrigkeit, F., Cormican, K., others: From team collaboration to product success-the domino effect of design thinking. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018. (2018).

[ BibTeX ]

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai, C.: Verbal focus shifts: Forms of low coherent statements in design conversations. Design Studies. 57, 135–155 (2018).

[ BibTeX ]

De Paula, D., Dobrigkeit, F., Cormican, K.: DESIGN THINKING CAPABILITY MODEL (DTCM): A FRAMEWORK TO MAP OUT DESIGN THINKING CAPACITY IN BUSINESS ORGANISATIONS. Presented at the (2018).

[ BibTeX ] [ URL ]

10.

Schlosser, R., Boissier, M.: Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD. pp. 705–714 (2018).

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11.

Dobrigkeit, F., de Paula, D., Uflacker, M.: InnoDev - A Software Development Methodology Integrating Design Thinking, Scrum and Lean Startup. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking - Research Looking Further: Design Thinking Beyond Solution-Fixation. pp. 199–228. Springer (2018).

[ BibTeX ]

12.

Dobrigkeit, F., Wilson, M., Nicolai, C., others: Adding Scrum-style project management to an advanced Design Thinking class. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018. (2018).

[ BibTeX ]

13.

Richly, K.: A survey on trajectory data management for hybrid transactional and analytical workloads. 2018 IEEE International Conference on Big Data (Big Data). pp. 562–569. IEEE (2018).

[ BibTeX ]

14.

Perscheid, C., Grasnick, B., Uflacker, M.: Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches. Journal of Integrative Bioinformatics. (2018).

[ BibTeX ]

15.

Kossmann, J.: Self-Driving: From General Purpose to Specialized DBMSs. Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018), Rio de Janeiro, Brasil, Aug 27-31, 2018 (2018).

[ BibTeX ] [ URL ]

16.

Boissier, M.: Reducing the Footprint of Main Memory HTAP Systems: Removing, Compressing, Tiering, and Ignoring Data. PhD Workshop at VLDB. CEUR-WS.org (2018).

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17.

Ruhrländer, R.P., Boissier, M., Uflacker, M.: Improving Box Office Result Predictions for Movies Using Consumer-Centric Models. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD. pp. 655–664 (2018).

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18.

Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2018). pp. 5856–5858 (2018).

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19.

Schlosser, R., Boissier, M.: Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. Computers and Operations Research. 100, 26–42 (2018).

[ BibTeX ] [ Download ]

20.

Teusner, R., Matthies, C., Staubitz, T.: What Stays in Mind? - Retention Rates in Programming MOOCs. 2018 IEEE Frontiers in Education Conference (FIE) (2018).

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@inproceedings{teusner2018stays,
  abstract = {This work presents insights about the long-term effects and retention rates of knowledge acquired within MOOCs. In 2015 and 2017, we conducted two introductory MOOCs on object-oriented programming in Java with each over 10,000 registered participants. In this paper, we analyze course scores, quiz results and self-stated skill levels of our participants. The aim of our analysis is to uncover factors influencing the retention of acquired knowledge, such as time passed or knowledge application, in order to improve long-term success. While we know that some participants learned the programming basics within our course, we lack information on whether this knowledge was applied and fortified after the course's end. To fill this knowledge gap, we conducted a survey in 2018 among all participants of our 2015 and 2017 programming MOOCs. The first part of the survey elicits responses on whether and how MOOC knowledge was applied and gives participants opportunity to voice individual feedback. The second part of the survey contains several questions of increasing difficulty and complexity regarding course content in order to learn about the consolidation of the acquired knowledge. We distinguish three programming knowledge areas in the survey: First, understanding of concepts, such as loops and boolean algebra. Second, syntax knowledge, such as specific keywords. Third, practical skills including debugging and coding. We further analyzed the long-term effects separately per participant skill group. While answer rates were low, the collected data shows a decrease of knowledge over time, relatively unaffected by skill level. Application of the acquired knowledge improves the memory retention rates of MOOC participants across all skill levels.},
  author = {Teusner, Ralf and Matthies, Christoph and Staubitz, Thomas},
  booktitle = {2018 IEEE Frontiers in Education Conference (FIE)},
  keywords = {myown},
  title = {What Stays in Mind? - Retention Rates in Programming MOOCs},
  year = 2018
}

21.

Kossmann, J., Dreseler, M., Gasda, T., Uflacker, M., Plattner, H.: Visual Evaluation of SQL Plan Cache Algorithms. Australasian Database Conference (ADC) (2018).

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22.

Matthies, C.: Scrum2Kanban: Integrating Kanban and Scrum in a University Software Engineering Capstone Course. Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials. pp. 48–55. ACM, New York, NY, USA (2018).

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23.

Boissier, M., Schlosser, R., Uflacker, M.: Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements. 34th IEEE International Conference on Data Engineering, ICDE. pp. 209–220 (2018).

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24.

Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Communications in Computer and Information Science (CCIS). pp. 129–150. Springer (2018).

[ BibTeX ] [ Download ]

25.

Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527–533 (2018).

[ BibTeX ]

26.

Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark. TPC Technology Conference (TPCTC). pp. 25–40. , Cham (2018).

[ BibTeX ] [ Download ]

27.

Hiller, J., Kimmerlin, M., Plauth, M., Heikkila, S., Klauck, S., Lindfors, V., Eberhardt, F., Bursztynowski, D., Santos, J.L., Hohlfeld, O., Wehrle, K.: Giving Customers Control over Their Data: Integrating a Policy Language into the Cloud. 2018 IEEE International Conference on Cloud Engineering (IC2E) (2018).

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@inproceedings{Hiller2018-246,
  abstract = {Cloud computing offers the potential to store, manage, and process data in highly available, scalable, and elastic environments. Yet, these environments still provide very limited and inflexible means for customers to control their data. For example, customers can neither specify security of inter-cloud communication bearing the risk of information leakage, nor comply with laws requiring data to be kept in the originating jurisdiction, nor control sharing of data with third parties on a fine-granular basis. This lack of control can hinder cloud adoption for data that falls under regulations. In this paper, we show in six use cases how cloud environments can be enriched with policy language support to give customers control over cloud data. Our use cases are based on realizing policy language support in all three cloud environment layers, i.e., IaaS, PaaS, and SaaS. Specifically, we present policy-aware resource management (with OpenStack) and dynamic network configuration. With CERN's big data storage and the in-memory database Hyrise, we show realization for storage and further exemplify policy-aware cloud processing by network function virtualization which enables Orange to offload customer home gateways to the cloud. Finally, we discuss benefits of policy support in F-Secure's Security Cloud. These use cases show the feasibility of realizing customer control with policy support in the cloud. Thus, our work enables customers with regulated data to tap cloud benefits and significantly broadens the market for cloud providers.},
  author = {Hiller, Jens and Kimmerlin, Mael and Plauth, Max and Heikkila, Seppo and Klauck, Stefan and Lindfors, Ville and Eberhardt, Felix and Bursztynowski, Dariusz and Santos, Jesus Llorente and Hohlfeld, Oliver and Wehrle, Klaus},
  booktitle = {2018 IEEE International Conference on Cloud Engineering (IC2E)},
  keywords = {cloud_computing in-memory_database policy_language},
  title = {Giving Customers Control over Their Data: Integrating a Policy Language into the Cloud},
  year = 2018
}

28.

Schmidt, C., Dreseler, M., Akin, B., Roy, A.: A Case for Hardware-Supported Sub-Cache Line Accesses. Data Management on New Hardware (DaMoN), in conjunction with SIGMOD (2018).

[ BibTeX ] [ Download ]

29.

Schlosser, R., Richly, K.: Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information. 7th International Conference on Operations Research and Enterprise Systems, ICORES 2018. pp. 21–30 (2018).

[ BibTeX ]

30.

Dreseler, M., Gasda, T., Kossmann, J., Uflacker, M., Plattner, H.: Adaptive Access Path Selection for Hardware-Accelerated DRAM Loads. Australasian Database Conference (ADC) (2018).

[ BibTeX ] [ Download ]

31.

Podlesny, N.J., Kayem, A.V.D.M., von Schorlemer, S., Uflacker, M.: Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. 29th International Conference on Database and Expert Systems Applications - DEXA 2018 (2018).

[ BibTeX ]

32.

Dreseler, M., Kossmann, J., Frohnhofen, J., Uflacker, M., Plattner, H.: Fused Table Scans: Combining AVX-512 and JIT to Double the Performance of Multi-Predicate Scans. Joint Workshop of HardBD (International Workshop on Big Data Management on Emerging Hardware) and Active (Workshop on Data Management on Virtualized Active Systems), in conjunction with ICDE (2018).

[ BibTeX ] [ Download ]

33.

Perscheid, C., Benzler, J., Hermann, C., Janke, M., Moyer, D., Laedtke, T., Adeoye, O., Denecke, K., Kirchner, G., Beerman, S., Schwarz, N., Tom-Aba, D., Krause, G.: Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS. Frontiers in ICT. 5, 7 (2018).

[ BibTeX ] [ URL ]

@article{perscheid2018ebola,
  abstract = {Background: Since the beginning of the Ebola outbreak in West Africa in 2014, more than 11,000 people died. For outbreaks of infectious diseases like this, the rapid implementation of control measures is a crucial factor for containment. In West African countries, outbreak surveillance is a paper-based process with significant delays in forwarding outbreak information, which affects the ability to react adequately to situational changes. Our objective therefore was to develop a tool that improves data collection, situation assessment, and coordination of response measures in outbreak surveillance processes for a better containment. Methods: We have developed the Surveillance and Outbreak Response Management System (SORMAS) based on findings from Nigeria's 2014 Ebola outbreak. We conducted a thorough requirements engineering and defined personas and processes. We also defined a data schema with specific variables to measure in outbreak situations. We designed our system to be a cloud application that consists of interfaces for both mobile devices and desktop computers to support all stakeholders in the process. In the field, health workers collect data on the outbreak situation via mobile applications and directly transmit it to control centers. At the control centers, health workers access SORMAS via desktop computers, receive instant updates on critical situations, react immediately on emergencies, and coordinate the implementation of control measures with SORMAS. Results: We have tested SORMAS in multiple workshops and a field study in July 2015. Results from workshops confirmed derived requirements and implemented features, but also led to further iterations on the systems regarding usability. Results from the field study are currently under assessment. General feedback showed high enthusiasm about the system and stressed its benefits for an effective outbreak containment of infectious diseases. Conclusions: SORMAS is a software tool to support health workers in efficiently handling outbreak situations of infectious diseases, such as Ebola. Our tool enables a bi-directional exchange of situational data between individual stakeholders in outbreak containment. This allows instant and seamless collection of data from the field and its instantaneous analysis in operational centers. By that, SORMAS accelerates the implementation of control measures, which is crucial for a successful outbreak containment.},
  author = {Perscheid, Cindy and Benzler, Justus and Hermann, Claus and Janke, Michael and Moyer, David and Laedtke, Todd and Adeoye, Olawunmi and Denecke, Kerstin and Kirchner, Göran and Beerman, Sandra and Schwarz, Norbert and Tom-Aba, Daniel and Krause, Gérard},
  journal = {Frontiers in ICT},
  keywords = {Ebola_surveillance_process cp epidemiology healthcare infectious_diseases mobile_applications requirements_engineering},
  month = {April},
  pages = 7,
  title = {Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS},
  volume = 5,
  year = 2018
}

34.

Boissier, M., Kurzynski, D.: Workload-Driven Horizontal Partitioning and Partition Pruning for Large HTAP Systems. 2018 IEEE 34th International Conference on Data Engineering Workshops. pp. 116–121 (2018).

[ BibTeX ] [ Download ]

35.

Richly, K.: Leveraging Spatio-Temporal Soccer Data to Define a Graphical Query Language for Game Recordings. 2018 IEEE International Conference on Big Data (Big Data). pp. 3456–3463. IEEE (2018).

[ BibTeX ]

2017

Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature. Nucleic acids research. (2017).

[ BibTeX ]

Staubitz, T., Teusner, R., Meinel, C.: openHPI’s Coding Tool Family: CodeOcean, CodeHarbor, CodePilot. Automatische Bewertung von Programmieraufgaben (ABP) (2017).

[ BibTeX ] [ URL ]

Wiese, G., Weissenborn, D., Neves, M.: Neural Question Answering at BioASQ 5B. Biomedical Natural Language Processing (BioNLP) Workshop at ACL’17. (2017).

[ BibTeX ]

Teusner, R., Matthies, C., Giese, P.: Should I Bug You? Identifying Domain Experts in Software Projects Using Code Complexity Metrics. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS). pp. 418–425 (2017).

[ BibTeX ] [ URL ] [ Download ]

Dobrigkeit, F., de Paula, D.F.O.: The Best Of Three Worlds - The Creation Of InnoDev a Software Development Approach that Integrates Design Thinking, Scrum and Lean Startup. Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 8: Human Behaviour in Design. pp. 319–328. , Vvancouver, Canada (2017).

[ BibTeX ]

Treffer, A., Uflacker, M.: Back-in-Time Debugging in Heterogeneous Software Stacks. 2017 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE (2017).

[ BibTeX ] [ URL ]

Zimmermann, T., Djürken, T., Mayer, A., Janke, M., Boissier, M., Schwarz, C., Schlosser, R., Uflacker, M.: Detecting Fraudulent Advertisements on a Large E-Commerce Platform. Proceedings of the Nineteenth International Workshop on Data Warehousing and OLAP, DOLAP, Venice, Italy, March 21, 2017 (2017).

[ BibTeX ] [ Download ]

Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177–190. Springer Gabler (2017).

[ BibTeX ]

Staubitz, T., Teusner, R., Meinel, C.: Towards a Repository for Open Auto-Gradable Programming Exercises. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (2017).

[ BibTeX ]

10.

Klauck, S.: Scalability, Availability, and Elasticity through Database Replication in Hyrise-R. Proceedings of the 4th HPI Cloud Symposium “Operating the Cloud” 2016. pp. 1–10 (2017).

[ BibTeX ] [ URL ]

11.

Teusner, R., Wittstruck, N., Staubitz, T.: Video Conferencing as a Peephole to MOOC Participants. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE (2017).

[ BibTeX ] [ URL ] [ Download ]

12.

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai: Combining Computational and Human Analysis to Study Low Coherence in Design Conversations. In: Christensen, B.T., Ball, L.J., and Halskov, K. (eds.) Analysing Design Thinking: Studies of Cross-Cultural Co-Creation. pp. 291–309. CRC Press, Leiden,The Netherlands : {CRC} Press/Balkema, [2017] (2017).

[ BibTeX ] [ URL ]

13.

Teusner, R., Hille, T., Hagedorn, C.: Aspects on Finding the Optimal Practical Programming Exercise for MOOCs. Proceedings of the 47th Annual Frontiers in Education (FIE) Conference. IEEE (2017).

[ BibTeX ] [ Download ]

@inproceedings{teusner2017aspects,
  abstract = {Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging from social sciences over languages to technical skills, and use different means to train the respective skills. MOOCs that are teaching programming skills aim to incorporate practical exercises into the course corpus to give students the hands-on experience necessary for understanding and mastering programming. These exercises, apart from technical challenges, come with a series of questions to be addressed, for example: which fraction of the participants' time should they take (compared to video lectures and other course activities), which difficulty should be aimed for, how much guidance should be offered and how much repetition should be incorporated? The perceived difficulty of a task depends on previous knowledge, supplied hints, the required time for solving and the number of failed attempts the participant made. Furthermore, the detail and accuracy of the problem description, the restrictiveness of the applied test cases and the preparation provided specifically for a given exercise also influence the perceived difficulty of a task. In this paper, we explore the data of three programming courses to find criteria for optimal practical programming exercises. Based on over 3 million executions and scoring runs of participants' task submissions, we aim to deduct exercise difficulty, student patterns in approaching the tasks and potential flaws in task descriptions and preparatory videos. We compare our findings to in class trainings and traditional, mostly video and quiz based MOOCs. Finally, we propose approaches and methods to improve programming courses for participants as well as instructors.},
  author = {Teusner, Ralf and Hille, Thomas and Hagedorn, Christiane},
  booktitle = {Proceedings of the 47th Annual Frontiers in Education (FIE) Conference},
  keywords = {MOOC exercise programming},
  month = {oct},
  publisher = {IEEE},
  title = {Aspects on Finding the Optimal Practical Programming Exercise for MOOCs},
  year = 2017
}

14.

Treffer, A., Perscheid, M., Uflacker, M.: Bringing back-in-time debugging down to the database. 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE (2017).

[ BibTeX ] [ URL ]

15.

Teusner, R., Rollmann, K.-A., Renz, J.: Taking Informed Action on Student Activity in MOOCs. Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. pp. 149–152. ACM, New York, NY, USA (2017).

[ BibTeX ] [ URL ] [ Download ]

16.

Matthies, C., Treffer, A., Uflacker, M.: Prof. CI: Employing Continuous Integration Services and GitHub Workflows to Teach Test-Driven Development. 2017 IEEE Frontiers in Education Conference (FIE). pp. 1–8 (2017).

[ BibTeX ] [ URL ] [ Download ]

@inproceedings{matthies2017fie,
  abstract = {Teaching programming using Massive Open Online Courses (MOOCs) is gaining popularity due to their scalability and efficiency of knowledge distribution. However, participating in these courses usually means fully committing to the supplied programming environment in the browser. While this allows a consistent and controllable setup, learners do not gain experience with actual development tools, such as local code editors, testing frameworks, issue trackers or continuous integration (CI) services, which is critical for subsequent real-world projects. Furthermore, the tests for the functionality that is to be developed are oftentimes already available in MOOCs and simply need to be executed, leading to less involvement with developing appropriate tests. In order to tackle these issues while maintaining a high degree of automation and scalability, we developed Prof. CI, a novel approach to conducting online exercises. Prof. CI leverages the existing automation infrastructure that developers use daily, i.e. CI services and Github workflows, to teach test-driven development (TDD) practices. Participants work on their own repositories in Github and receive feedback and new challenges from the CI server when they push their code. We have successfully applied this approach in a pilot project with 30 undergraduate students learning the Ruby on Rails web development framework. Our evaluation shows that the exercise effectively increased students' motivation to write tests for their code. We also present the results of participant surveys, students' experiences and teachers' observations.},
  author = {Matthies, Christoph and Treffer, Arian and Uflacker, Matthias},
  booktitle = {2017 IEEE Frontiers in Education Conference (FIE)},
  keywords = {Course Education Introduction Programming Test-Driven-Development},
  month = {Oct.},
  pages = {1-8},
  title = {Prof. CI: Employing Continuous Integration Services and GitHub Workflows to Teach Test-Driven Development},
  year = 2017
}

17.

Menning, A., Grasnick, B.M., Ewald, B., Dobrigkeit, F., Nicolai, C.: Combining computational and human analysis to study low coherence in design conversations. Analysing Design Thinking: Studies of Cross-Cultural Co-Creation. 291 (2017).

[ BibTeX ]

18.

Boissier, M., Spivak, A., Meyer, C.: Improving Materialization for Tiered Column Stores: A Workload-Aware Ansatz Based on Table Reordering. ACSW ’17 Proceedings of the Australasian Computer Science Week Multiconference, ACSW ’17. pp. 25:1–25:10. ACM, New York, NY, USA (2017).

[ BibTeX ] [ Download ]

19.

Schwarz, C., Schmidt, C.: Interactive Product Cost Simulation on Coprocessors. HPI Future SOC Lab: Proceedings 2015. pp. 103–107 (2017).

[ BibTeX ]

20.

Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., Kraus, M., Uflacker, M.: Olelo: A Question Answering Application for Biomedicine. ACL’17 Demo (2017).

[ BibTeX ]

21.

Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144–1155 (2017).

[ BibTeX ]

22.

Richly, K., Moritz, F., Schwarz, C.: Utilizing Artificial Neural Networks to Detect Compound Events in Spatio-Temporal Soccer Data. SIGKDD’17 Workshop on Mining and Learning from Time Series (MiLeTS) (2017).

[ BibTeX ]

23.

Serth, S., Podlesny, N., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. 21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017, Quebec City, QC, Canada, October 10-13, 2017. pp. 61–66. IEEE (2017).

[ BibTeX ] [ Download ]

24.

Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys ’17). pp. 355–357. ACM, New York, NY, USA (2017).

[ BibTeX ] [ Download ]

25.

Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data. Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).

[ BibTeX ]

26.

Dreseler, M., Kissinger, T., Djürken, T., Eric, L., Uflacker, M., Habich, D., Plattner, H., Lehner, W.: Hardware-Accelerated Memory Operations on Large-Scale NUMA Systems. Eighth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in conjunction with VLDB (2017).

[ BibTeX ] [ Download ]

27.

Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine. Proceedings of the International Conference on Bioinformatics and Computational Biology. pp. 93–100. The International Society for Computers and Their Applications (ISCA) (2017).

[ BibTeX ]

28.

Schlosser, R., Boissier, M.: Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors. Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES), Porto, Portugal. pp. 47–56 (2017).

[ BibTeX ] [ Download ]

29.

Lorenz, M., Rudolph, J.-P., Hesse, G., Uflacker, M., Plattner, H.: Object-Relational Mapping Revisited - A Quantitative Study on the Impact of Database Technology on O/R Mapping Strategies. Hawaii International Conference on System Sciences (HICSS). pp. 4877–4886 (2017).

[ BibTeX ]

30.

Folkerts, H., Neves, M.: Olelo’s named-entity recognition web service in the BeCalm TIPS task. BeCalm Workshop (2017).

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31.

Habibi, M., Weber, L., Neves, M., Wiegandt, D., Leser, U.: Deep Learning with Word Embeddings improves Biomedical Named Entity Recognition. ISMB/ECCB (2017).

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32.

Neves, M.: A parallel collection of clinical trials in Portuguese and English. 10th Workshop on Building and Using Comparable Corpora (BUCC) at ACL’17 (2017).

[ BibTeX ]

33.

Neves, M., Eckert, F., Folkerts, H., Uflacker, M.: Assessing the performance of Olelo, a real-time biomedical question answering application. Biomedical Natural Language Processing (BioNLP) Workshop at ACL’17 (2017).

[ BibTeX ]

34.

Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten. Plattform Life Sciences. 38–39 (2017).

[ BibTeX ]

35.

Hesse, G., Matthies, C., Reissaus, B., Uflacker, M.: A New Application Benchmark for Data Stream Processing Architectures in an Enterprise Context: Doctoral Symposium. ACM International Conference on Distributed and Event-based Systems (DEBS). pp. 359–362 (2017).

[ BibTeX ] [ Download ]

36.

Seiffert, M., Holstein, F., Schlosser, R., Schiller, J.: Next Generation Cooperate Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network. IEEE Access Journal. 5, 16793–16807 (2017).

[ BibTeX ]

2016

Cruz, H.F.D., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29–36 (2016).

[ BibTeX ]

Meyer, S., Haeger, F., Uflacker, M.: Enhancing Early Mobile Prototype Testing: Requirements Analysis through Interviews and a System Design. (2016).

[ BibTeX ]

Boissier, M., Djürken, T., Schlosser, R., Faust, M.: A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, CCIS 639. pp. 285–299 (2016).

[ BibTeX ] [ Download ]

Matthies, C., Kowark, T., Uflacker, M., Plattner, H.: Agile Metrics for a University Software Engineering Course. 2016 IEEE Frontiers in Education Conference (FIE). pp. 1–5. IEEE (2016).

[ BibTeX ] [ URL ] [ Download ]

Richly, K., Bothe, M., Rohloff, T., Schwarz, C.: Recognizing Compound Events in Spatio-Temporal Football Data. International Conference on Internet of Things and Big Data (IoTBD) (2016).

[ BibTeX ]

Rueckert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016).

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Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016).

[ BibTeX ]

Meyer, S., Haeger, F., Uflacker, M.: FINDING THE APPROPRIATE TEST CONTEXT FOR MOBILE APPLICATION PROTOTYPES-A DECISION MODEL BASED ON A CASE STUDY. DS 84: Proceedings of the DESIGN 2016 14th International Design Conference (2016).

[ BibTeX ]

Schwalb, D., Bk, G.K., Dreseler, M., S, A., Faust, M., Hohl, A., Berning, T., Makkar, G., Plattner, H., Deshmukh, P.: Hyrise-NV: Instant Recovery for In-Memory Databases using Non-Volatile Memory. International Conference on Database Systems for Advanced Applications (DASFAA) (2016).

[ BibTeX ]

10.

Faust, M., Boissier, M., Keller, M., Schwalb, D., Bischoff, H., Eisenreich, K., Färber, F., Plattner, H.: Footprint Reduction and Uniqueness Enforcement with Hash Indices in SAP HANA. Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II. pp. 137–151 (2016).

[ BibTeX ] [ Download ]

11.

Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153–169 (2016).

[ BibTeX ]

12.

Haeger, F., Uflacker, M.: Time Management Practice in educational Design Thinking Projects. DS 85-2: Proceedings of NordDesign 2016, Volume 2. pp. 319–328. , Trondheim, Norway (2016).

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13.

Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology. (2016).

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14.

Schlosser, R., Boissier, M., Schober, A., Uflacker, M.: How To Survive Dynamic Pricing Competition in E-commerce. Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016 (2016).

[ BibTeX ] [ Download ]

15.

Richly, K., Lorenz, M., Oergel, S.: S4J - Integrating SQL into Java at Compiler-Level. To appear in Information and Software Technologies - 22st International Conference, ICIST 2016, Proceedings (Springer - Communications in Computer and Information Science) (2016).

[ BibTeX ]

16.

Dobrigkeit, F., Meyer, S., Uflacker, M.: Case Studies on End-User Engagement and Prototyping during Software Development. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking Research. pp. 183–213. Springer International Publishing, Cham (2016).

[ BibTeX ] [ URL ]

17.

Schulze, F., Neves, M.: Entity-Supported Summarization of Biomedical Abstracts. Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining at the 26th International Conference on Computational Linguistics (Coling) (2016).

[ BibTeX ]

18.

Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Yepes, A.J., Koehn, P., Logacheva, V., Monz, C., Negri, M., Neveol, A., Neves, M., Popel, M., Post, M., Rubino, R., Scarton, C., Specia, L., Turchi, M., Verspoor, K., Zampieri, M.: Findings of the 2016 Conference on Machine Translation. Proceedings of the First Conference on Machine Translation (WMT16) at the Conference of the Association of Computational Linguistics. pp. 131–198 (2016).

[ BibTeX ]

19.

Neves, M., Yepes, A.J., Névéol, A.: The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association (ELRA) (2016).

[ BibTeX ]

20.

Treffer, A., Uflacker, M.: The Slice Navigator: Focused Debugging with Interactive Dynamic Slicing. Proceedings of the 7th IEEE International Workshop on Program Debugging. pp. 1–6. IEEE, New York, NY, USA (2016).

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21.

Grundke, M., Jasper, J., Perchyk, M., Sachse, J., Krestel, R., Neves, M.: TextAI: Enhancing TextAE with Intelligent Annotation Support. Proceedings of the Seventh International Symposium on Semantic Mining for Biomedicine (SMBM). pp. 80–84 (2016).

[ BibTeX ]

22.

Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).

[ BibTeX ] [ URL ]

23.

Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions. OKBQA 2016. p. 49 (2016).

[ BibTeX ]

24.

Schapranow, M.-P.: Datenspendeausweis für Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen. Management & Krankenhaus. (2016).

[ BibTeX ]

25.

Schwarz, C., Schmidt, C., Hopstock, M., Sinzig, W., Plattner, H.: Efficient Calculation and Simulation of Product Cost Leveraging In-Memory Technology and Coprocessors. The Sixth International Conference on Business Intelligence and Technology (BUSTECH 2016) (2016).

[ BibTeX ]

26.

Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. pp. 1133–1139. IEEE (2016).

[ BibTeX ]

27.

Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach. Proceedings of IEEE International Conference on Big Data. pp. 2813–2818. IEEE (2016).

[ BibTeX ]

28.

Schulze, F., Schüler, R., Draeger, T., Dummer, D., Ernst, A., Flemming, P., Perscheid, C., Neves, M.: HPI Question Answering System in BioASQ 2016. Proceedings of the Fourth BioASQ workshop at the Conference of the Association for Computational Linguistics. pp. 38–44 (2016).

[ BibTeX ]

29.

Schwalb, D., Faust, M., Dreseler, M., Flemming, P., Plattner, H.: Hyrise-NV: Leveraging Non-Volatile Memory for Instant Restarts of In-Memory Database Systems. International Conference on Data Engineering (ICDE) (2016).

[ BibTeX ]

30.

Kowark, T., Matthies, C., Uflacker, M., Plattner, H.: Lightweight Collection and Storage of Software Repository Data with DataRover. Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. pp. 810–815. ACM, New York, NY, USA (2016).

[ BibTeX ] [ Download ]

31.

Matthies, C., Kowark, T., Uflacker, M.: Teaching Agile the Agile Way — Employing Self-Organizing Teams in a University Software Engineering Course. 2016 American Society for Engineering Education (ASEE) International Forum (2016).

[ BibTeX ] [ URL ] [ Download ]

32.

Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering. pp. 40–43. ACM, New York, NY, USA (2016).

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33.

Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. Proceedings of the 38th International Conference on Software Engineering Companion. pp. 313–322. ACM, New York, NY, USA (2016).

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34.

Lindemann, J., Klauck, S., Schwalb, D.: A Scalable Query Dispatcher for Hyrise-R. Proceedings of the 3rd HPI Cloud Symposium “Operating the Cloud” 2015. pp. 25–32 (2016).

[ BibTeX ] [ URL ]

35.

Kowark, T., Richly, K., Uflacker, M., Plattner, H.: Incremental, Per-Query Ontology Matching with RepMine. 25th International World Wide Web Conference (WWW), Demo Track, Montreal, Canada (2016).

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36.

Lorenz, M., Hesse, G., Rudolph, J.-P.: Object-relational Mapping Revised - Guideline Review and Consolidation. International Joint Conference on Software Technologies (ICSOFT). pp. 157–168 (2016).

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37.

Boissier, M., Meyer, C., Djürken, T., Lindemann, J., Mao, K., Reinhardt, P., Specht, T., Zimmermann, T., Uflacker, M.: Analyzing Data Relevance and Access Patterns of Live Production Database Systems. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016. pp. 2473–2475. ACM, New York, NY, USA (2016).

[ BibTeX ] [ Download ]

38.

Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439–452 (2016).

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39.

Richly, K., Teusner, R.: Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City. The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT) (2016).

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2015

Plattner, H., Mueller, S., Nica, A., Butzmann, L., Klauck, S.: Using Object-Awareness to Optimize Join Processing in the SAP HANA Aggregate Cache. Proceedings of the 18th International Conference on Extending Database Technology (EDBT), Brussels, Belgium (2015).

[ BibTeX ]

Schapranow, M.-P., Kraus, M., Perscheid, C., Bock, C., Liedtke, F., Plattner, H.: The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 770–775 (2015).

[ BibTeX ]

Meyer, C., Boissier, M., Michaud, A., Vollmer, J.O., Taylor, K., Schwalb, D., Uflacker, M., Roedszus, K.: Dynamic and Transparent Data Tiering for In-Memory Databases in Mixed Workload Environments. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures - ADMS @ VLDB 2015 (2015).

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Schwalb, D., Berning, T., Faust, M., Dreseler, M., Plattner, H.: nvm_malloc: Memory Allocation for NVRAM. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in Conjuction with VLDB (2015).

[ BibTeX ]

Butzmann, L., Klauck, S., Mueller, S., Uflacker, M., Plattner, H., Sinzig, W.: Generic Business Simulation Using an In-Memory Column Store. Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS). pp. 633–643 (2015).

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Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451–468 (2015).

[ BibTeX ]

Treffer, A.: Time-travel Queries for Omniscient Database Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2015).

[ BibTeX ]

Goel, A., Pound, J., Auch, N., Bumbulis, P., MacLean, S., Färber, F., Gropengiesser, F., Mathis, C., Bodner, T., Lehner, W.: Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLXP Workloads. Proceedings of the VLDB Endowment. (2015).

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Klauck, S., Butzmann, L., Müller, S., Faust, M., Schwalb, D., Uflacker, M., Sinzig, W., Plattner, H.: Interactive, Flexible, and Generic What-If Analyses Using In-Memory Column Stores. Database Systems for Advanced Applications. pp. 488–497 (2015).

[ BibTeX ] [ Download ]

10.

Schwalb, D., Kossmann, J., Faust, M., Klauck, S., Uflacker, M., Plattner, H.: Hyrise-R: Scale-out and Hot-Standby through Lazy Master Replication for Enterprise Applications. Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics (IMDM), in conjunction with VLDB 2015 Kohala Coast, Hawaii (2015).

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11.

Kowark, T., Teusner, R., Richly, K., Plattner, H.: RepMine: A System for Transferrable Analyses of Collaboration Activities in Software Engineering. 2015 Workshop on Software Support for Collaborative and Global Software Engineering, In conjunction with the 30th IEEE/ACM International Conference on Automated Software Engineering (2015).

[ BibTeX ]

12.

Haeger, F., Kowark, T., Uflacker, M.: Experience and Knowledge Transfer Through Special Topic Coaching Sessions. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking Research - Making Design Thinking Foundational. pp. 187–201 (2015).

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13.

Neves, M., Leser, U.: Question answering for biology. Methods. 74, 36–46 (2015).

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14.

Schapranow, M.-P., Perscheid, C., Plattner, H.: IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials. Proceedings of the 4th International Conference on Global Health Challenges. pp. 67–73. IARIA (2015).

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15.

Schapranow, M.-P., Perscheid, C., Wachsmann, A., Siegert, M., Bock, C., Horschig, F., Liedke, F., Brauer, J., Plattner, H.: A Federated In-Memory Database System For Life Sciences. Proceedings of the 9th International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE) (2015).

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16.

Mueller, S., Fritzsche, M., Kossmann, J., Schneider, M., Striebel, J., Baudisch, P.: Scotty: Relocating Physical Objects Across Distances Using Destructive Scanning, Encryption, and 3D Printing. TEI ’15 Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction. pp. 233–240 (2015).

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17.

Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).

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18.

Helmes, K., Schlosser, R.: Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dynamic Games and Applications. 5, 334–360 (2015).

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19.

Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology. Proceedings of the ACM Symposium on Applied Computing (2015).

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20.

Plattner, H., Uflacker, M.: Eine Neue Welt. ManagementKompass In-Memory Analytics, Frankfurt Business Media. 15–19 (2015).

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21.

Kowark, T., Plattner, H.: Search Space Reduction for Post-Matching Correspondence Provisioning. The 10th International Workshop on Ontology Matching, In Conjunction with the 14th International Semantic Web Conference (ISWC) (2015).

[ BibTeX ]

22.

Teusner, R., Richly, K., Staubitz, T., Renz, J.: Enhancing Content between Iterations of a MOOC – Effects on Key Metrics. EMOOCs 2015: European MOOCs Stakeholder Summit. pp. 147–156 (2015).

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23.

Boissier, M., Meyer, C., Uflacker, M., Tinnefeld, C.: And all of a sudden: Main Memory Is Less Expensive Than Disk. In: Rabl, T., Sachs, K., Poess, M., K. Baru, C., and Jacobsen, H.-A. (eds.) Big Data Benchmarking. pp. 132–144. Springer International Publishing (2015).

[ BibTeX ] [ Download ]

24.

Schwalb, D., BK, G., Faust, M., S, A., Dreseler, M., Hohl, A., Berning, T., Makkar, G., Deshmukh, P.: Using non-volatile RAM for inherent persistence and fast recovery of an in-memory database. ACM Symposium on Cloud Computing (SoCC) (2015).

[ BibTeX ]

25.

Faust, M., Flemming, P., Schwalb, D., Plattner, H.: Partitioned Bit-Packed Vectors for In-Memory-Column-Stores. IMDM 2015, In conjunction with VLDB 2015 Kohala Coast, Hawaii. (2015).

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26.

Neves, M.: HPI question answering system in the BioASQ 2015 challenge. In Working Notes for CLEF 2015 Conference, Toulouse, France (2015).

[ BibTeX ] [ URL ]

27.

Schwalb, D., Dreseler, M., Uflacker, M., Plattner, H.: NVC-Hashmap: A Persistent and Concurrent Hashmap For Non-Volatile Memories. In-Memory Data Management Workshop (IMDM), in conjunction with VLDB (2015).

[ BibTeX ] [ Download ]

28.

Hesse, G., Lorenz, M.: Conceptual Survey on Data Stream Processing Systems. IEEE International Conference on Parallel and Distributed Systems (ICPADS). 797–802 (2015).

[ BibTeX ] [ Download ]

29.

Schlosser, R.: Dynamic Pricing and Advertising Models with Inventory Holding Costs. Journal of Economic Dynamics and Control. 57, 163–181 (2015).

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30.

Lorenz, M.: The impact of column-orientation on the quality of class inheritance mapping specifications. Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on (2015).

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31.

Richly, K., Teusner, R., Immer, A., Windheuser, F., Wolf, L.: Optimizing Routes of Public Transportation Systems by Analyzing the Data of Taxi Rides. Workshop on Smart Cities and Urban Analytics, in conjunction with 23rd ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) (2015).

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32.

Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365–383 (2015).

[ BibTeX ]

33.

Denecke, K., Mall, S., Fähnrich, C., Perscheid, C., Adeoye, O.O., Benzler, J., Claus, H., Kirchner, G., Richter, R., Schapranow, M.-P., Schwarz, N., Reigl, L., Tom-Aba, D., Gidado, S., Waziri, N.E., Uflacker, M., Krause, G., Poggensee, G.: „Surveillance and Outbreak Response Management and Analysis System (SORMAS)“ ermöglicht Kontrolle von Ebola-Infizierten in Westafrika. 10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) (2015).

[ BibTeX ]

2014

Schwalb, D., Faust, M., Wust, J., Grund, M., Plattner, H.: Efficient Transaction Processing for Hyrise in Mixed Workload Environments. IMDM in conjunction with VLDB (2014).

[ BibTeX ]

Kowark, T., Plattner, H.: Collective, Incremental Ontology Alignment Through Query Translation. The 8th International Conference On Web Reasoning And Rule Systems, Athens, Greece (2014).

[ BibTeX ]

Neves, M., Herbst, K., Uflacker, M., Plattner, H.: Preliminary evaluation of passage retrieval in biomedical multilingual question answering. BioTxtM 2014, Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing (2014).

[ BibTeX ]

Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Materialized View Maintenance Leveraging In-Memory Data Structures. International Journal On Advances in Software, vol. 7, no. 3&4. (2014).

[ BibTeX ]

Illi, C., Haeger, F., Uflacker, M.: GDriveMonitor: A Tool for Analysing Information Sharing in Virtual Engineering Design Teams Using the Google Drive API. (2014).

[ BibTeX ]

Haeger, F., Kowark, T., Krüger, J., Vetterli, C., Übernickel, F., Uflacker, M.: DT@Scrum: Integrating Design Thinking with Software Development Processes. Understanding Innovation - Building Innovators (2014).

[ BibTeX ]

Alsubaiee, S., Behm, A., Borkar, V., Heilbron, Z., Kim, Y.-S., Carey, M.J., Dreseler, M., Li, C.: Storage Management in AsterixDB. Proceedings of the VLDB Endowment (2014).

[ BibTeX ]

Kowark, T., Plattner, H.: One Query at a Time: Incremental, Collective Ontology Matching. The 9th International Workshop on Ontology Matching, In Conjunction with the 13th International Semantic Web Conference (ISWC), Riva del Garda, Trentino, Italy (2014).

[ BibTeX ]

Boissier, M., Krüger, J., Wust, J., Plattner, H.: An Integrated Data Management for Enterprise Systems. ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. pp. 410–418 (2014).

[ BibTeX ] [ Download ]

10.

Herbst, K., Fähnrich, C., Neves, M., Schapranow, M.-P.: Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain. CLEF 2014 Evaluation Labs and Workshop, Online Working Notes (2014).

[ BibTeX ]

11.

Wust, J., Meyer, C., Plattner, H.: DAC: Database Application Context Analysis applied to Enterprise Applications. Proceedings of the Thirty-Seventh Australasian Computer Science Conference (ACSC ’14) - Volume 147. pp. 39–48 (2014).

[ BibTeX ]

12.

Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine. Springer (2014).

[ BibTeX ]

13.

Plattner, H., Schapranow, M.-P., Haeger, F.: Innovations for Personalized Medicine. High-Performance In-Memory Genome Data Analysis. pp. 1–27. Springer (2014).

[ BibTeX ]

14.

Bog, A.: The Creation of a Mixed Workload Benchmark and its Application. Springer-Verlag Berlin Heidelberg (2014).

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15.

Schapranow, M.-P., Haeger, F., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).

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16.

Fähnrich, C., Schapranow, M.-P., Plattner, H.: Towards Integrating the Detection of Genetic Variants into an In-Memory Database. Proceedings of the International Conference on Big Data (2014).

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17.

Haeger, F., Teusner, R.: Scaling Design Thinking - Using a multi-team design thinking workshop to kick start software projects. Presented at the , Tel Aviv (2014).

[ BibTeX ]

18.

Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).

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19.

Boissier, M.: Optimizing Main Memory Utilization of Columnar In-Memory Databases Using Data Eviction. Proceedings of Phd Workshop @ VLDB 2014, Hangzhou (2014).

[ BibTeX ] [ Download ]

20.

Schwalb, D., Faust, M., Krüger, J., Plattner, H.: Leveraging In-Memory Technology for Interactive Analyses of Point-of-Sales Data. BDCA in conjunction with ICDE 2014 (2014).

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21.

Neves, M.: HPI in-memory-based database system in Task 2b of BioASQ. Working Notes for the CLEF BioASQ Challenge (2014).

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22.

Teusner, R., Perscheid, M., Appeltauer, M., Enderlein, J., Klingbeil, T., Kusber, M.: PopulAid: In-Memory Data Generation for Customized Benchmarks. Workshop on Big Data Benchmarking (WBDB) (2014).

[ BibTeX ] [ URL ]

23.

Plattner, H.: A Course in In-Memory Data Management. Springer (2014).

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24.

Treffer, A., Uflacker, M.: Dynamic Slicing with Soot. Proceedings of the 3rd ACM SIGPLAN International Workshop on the State of the Art in Java Program Analysis. pp. 1–6. ACM, New York, NY, USA (2014).

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25.

Tinnefeld, C., Taschik, D., Plattner, H.: Quantifying the Elasticity of a Database Management System. The 6th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA) (2014).

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26.

Mueller, S., Möller, P., Plattner, H.: Leveraging Enterprise Application Characteristics to Optimize Incremental Aggregate Maintenance in a Columnar In-Memory Database. Second International DASFAA Workshop on Big Data Management and Analytics (BDMA), in conjunction with DASFAA, Bali, Indonesia (2014).

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27.

Mueller, S., Diestelkämper, R., Plattner, H.: Cache Management for Aggregates in Columnar In-Memory Databases. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).

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28.

Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: In-Memory Technology Enables Interactive Drug Response Analysis. 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014) (2014).

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29.

Mueller, S., Plattner, H.: Aggregates Caching for Enterprise Applications. Proceedings of the 30th International Conference on Data Engineering (ICDE), PHD Symposium, Chicago, USA (2014).

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30.

Haeger, F., Kowark, T., Uflacker, M.: Pay it forward - Planning and Assessment of a Coaching Seminar for Global-Design Team Alumni. The 10th NordDesign Conference, Espoo, Finland (2014).

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31.

Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: An Adaptive Aggregate Maintenance Approach for Mixed Workloads in Columnar In-Memory Databases. Proceedings of the Thirty-Seventh Australasian Computer Science Conference (ACSC ’14) - Volume 147. pp. 3–12 (2014).

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32.

Wust, J., Grund, M., Hoewelmeyer, K., Schwalb, D., Plattner, H.: Concurrent Execution of Mixed Enterprise Workloads on In-Memory Databases. The 19th International Conference on Database System for Advanced Applications (DASFAA), Bali, Indonesia (2014).

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33.

Lorenz, M., Albrecht, J.: Object-Relational Mapping Strategies revised – A comparison of Row- and Column- oriented Database Systems. International Conference on Challenges in IT, Engineering and Technology (ICCIET) (2014).

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34.

Faust, M., Schwalb, D., Plattner, H.: Composite Group-Keys: Space-efficient Indexing of Multiple Columns for Compressed In-Memory Column Stores. IMDM in conjunction with VLDB (2014).

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35.

Faust, M., Grund, M., Berning, T., Schwalb, D., Plattner, H.: Vertical Bit-Packing: Optimizing Operations on Bit-Packed Vectors Leveraging SIMD Instructions. BDMA in conjunction with DASFAA (2014).

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36.

Tinnefeld, C., Kossmann, D., Boese, J.-H., Plattner, H.: Parallel Join Executions in RAMCloud. CloudDB - In conjunction with ICDE 2014 (2014).

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37.

Schaffner, J.: Workload Management and Data Placement. Springer International Publishing (2014).

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38.

Schwalb, D., Dreseler, M., Faust, M., Wust, J., Plattner, H.: Split Dictionaries for In-Memory Column Stores in Mixed Workload Environments. Australasian Database Conference (ADC) (2014).

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39.

Treffer, A.: Omniscient Debugging in Database Applications. Proceedings of the 8th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2014).

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40.

Plattner, H.: The Impact of Columnar In-Memory Databases on Enterprise Systems. Proceedings of the VLDB Endowment Volume 7 Issue 13, Hangzhou, China. pp. 1722–1729 (2014).

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41.

Mueller, S., Butzmann, L., Plattner, H.: Efficient Aggregate Cache Revalidation in an In-Memory Column Store. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).

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2013

Faust, M., Schwalb, D., Krüger, J.: Fast Column Scans: Paged Indices for In-Memory Column Stores. IMDM (2013).

[ BibTeX ]

Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Workload-Aware Aggregate Maintenance in Columnar In-Memory Databases. IEEE International Conference on Big Data (IEEE Big Data 2013), Silicon Valley, USA (2013).

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Plattner, H., Schwalb, D., Faust, M., Krüger, J.: Physical Column Organization in In-Memory Column Stores. DASFAA (2013).

[ BibTeX ]

Mueller, S., Plattner, H.: Aggregates Caching in Columnar In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).

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Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).

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Mueller, S., Butzmann, L., Höwelmeyer, K., Klauck, S., Plattner, H.: Efficient View Maintenance for Enterprise Applications in Columnar In-Memory Databases. 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC), Vancouver, Canada (2013).

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Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).

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Müller, J.: A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information. In-Memory Data Management Research (2013).

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Schwalb, D., Faust, M., Krüger, J.: A Workload-Aware Merge Process for In-Memory Column Stores. CICCI (2013).

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10.

Vetterli, C., Übernickel, F., Brenner, W., Haeger, F., Kowark, T., Krüger, J., Müller, J., Plattner, H., Stortz, B., Sikka, V.: Jumpstarting Scrum with Design Thinking. Electronic Colloquium on Design Thinking Research (2013).

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11.

Helmes, K., Schlosser, R.: Dynamic Advertising and Pricing with Constant Demand Elasticities. Journal of Economic Dynamics and Control. 37, 2814–2832 (2013).

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12.

Wust, J., Grund, M., Plattner, H.: TAMEX: A Task-Based Query Execution Framework for Mixed Enterprise Workloads on In-Memory Databases. IMDM, INFORMATIK 2013 (2013).

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13.

Schaffner, J., Januschowski, T., Kercher, M., Kraska, T., Plattner, H., Franklin, M., Jacobs, D.: RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters. ACM SIGMOD Conference (2013).

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14.

Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data. Proceedings of the International Conference on Big Data. pp. 691–696 (2013).

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15.

Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI: Soziales und Praktisches Lernen im Kontext eines MOOC. in Proceedings of DeLFI 2013 - 11. e-Learning Fachtagung Informatik (2013).

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16.

Plattner, H., Meyer, C., Plattner, H.: An Approach for Dynamic Materialization of Aggregates in Mixed Application Workloads. The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Sevilla, Spain (2013).

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17.

Schaffner, J., Januschowski, T.: Realistic Tenant Traces for Enterprise !DBaaS. 8th International Workshop on Self-Managing Database Systems (SMDB 2013) (2013).

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18.

Kowark, T.: Applications of Virtual Collaboration Monitoring in Software Development Projects. Proceedings of the 7th Retreat of the HPI Research School on Service-oriented Systems Engineering (to appear) (2013).

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19.

Treffer, A.: Extending Omniscient Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2013).

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20.

Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).

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21.

Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen. Krankenhaus-IT Journal, p. 26. (2013).

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22.

Helmes, K., Schlosser, R., Weber, M.: Dynamic Advertising and Pricing in a Class of General New-Product Adoption Models. European Journal of Operational Research. 229, 433–443 (2013).

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23.

Tinnefeld, C., Kossmann, D., Grund, M., Boese, J.-H., Renkes, F., Sikka, V., Plattner, H.: Elastic Online Analytical Processing on RAMCloud. EDBT (2013).

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24.

Wust, J., Plattner, H., Grund, M.: Dynamic Query Prioritization for In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).

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25.

Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI - a Case-Study on the Emergence of two Learning Communities. EDUCON (2013).

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26.

Tinnefeld, C., Taschik, D., Plattner, H.: Providing High-Availability and Elasticity for an In-Memory Database System with RAMCloud. 1st International Workshop on In-Memory Data Management and Analytics (2013).

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27.

Faust, M., Schwalb, D., Krüger, J.: Storage schemas for mixed workload in-memory column-oriented databases. CICCI (2013).

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28.

Kowark, T., Haeger, F., Gehrer, R., Krüger, J.: A Research Plan for the Integration of Design Thinking with Large Scale Software Development Projects. Design Thinking Research - Building Innovation Eco-Systems (2013).

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29.

Schapranow, M.-P., Haeger, F., Plattner, H.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis. Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5–10 (2013).

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30.

Schapranow, M.-P.: Real-time Security Extensions for EPCglobal Networks: Case Study for the Pharmaceutical Industry. In-Memory Data Management Research, Springer (2013).

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31.

Grund, M., Cudre-Mauroux, P., Krüger, J., Plattner, H.: Hybrid Graph and Relational Query Processing in Main Memory. DESWEB (in conjunction with ICDE) (2013).

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32.

Pape, T., Treffer, A.: Extending a Java Virtual Machine to Dynamic Object-oriented Languages. (2013).

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33.

Januschowski, T., Kolassa, S., Lorenz, M., Schwarz, C.: Forecasting With In-Memory Technology. Foresight, The International Journal of Applied Forecasting. (2013).

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34.

Krüger, J., Plattner, H., Schwalb, D.: Cache Conscious Column Organization in In-Memory Column Stores. HPI (2013).

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35.

Schapranow, M.-P., Plattner, H.: In-Memory Technology Enables History-Based Access Control for RFID-Aided Supply Chains. The Secure Information Society: Ethical, Legal and Political Challenges, pp. 187-213 (2013).

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36.

Teusner, R., Gabrysiak, G., Richter, S., Kleff, S.: Interactive Strategy-Based Validation of Behavioral Models. GTVMT (2013).

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2012

Plattner, H., Kowark, T.: AnalyzeD: A Shared Tool for Analyzing Virtual Team Collaboration in Classroom Software Engineering Projects. Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (2012).

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Kowark, T., Dobrigkeit, P., Zeier, A.: Towards a Shared Repository for Patterns in Virtual Team Collaboration. Design Thinking Research: Measuring Performance in Context (Understanding Innovation) (2012).

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Bog, A., Sachs, K., Plattner, H.: Interactive Performance Monitoring of a Composite OLTP & OLAP Workload. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. pp. 645–648 (2012).

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Richly, K., Bross, J., Kohnen, M., Meinel, C.: Identifying the top-dogs of the blogosphere. Social Network Analysis and Mining. (2012).

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Tinnefeld, C., Wagner, B., Plattner, H.: Operating on Hierarchical Enterprise Data in an In-Memory Column Store. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 58–63 (2012).

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Schwarz, C., Leupold, F., Schubotz, T., Januschowski, T., Plattner, H.: Rapid Energy Consumption Pattern Detection with In-Memory Technology. International Journal On Advances in Intelligent Systems, v5 n 3&4. (2012).

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Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin. Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).

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Faust, M., Krüger, J., Schwalb, D., Plattner, H.: Fast Lookups for In-Memory Column Stores: Group-Key Indices, Lookup and Maintenance. ADMS (in conjunction with VLDB) (2012).

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Wust, J., Boese, J.-H., Renkes, F., Blessing, S., Krüger, J., Plattner, H.: Efficient Logging for Enterprise Workloads on Column-Oriented In-Memory Databases. Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM ’12) (2012).

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10.

Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).

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11.

Schwarz, C., Leupold, F., Schubotz, T.: Short-Term Energy Pattern Detection of Manufacturing Machines with In-Memory Databases - A Case Study. Proceedings of the Second International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (2012).

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12.

Wust, J., Krüger, J., Grund, M., Hartmann, U., Plattner, H.: Sparse Dictionaries for In-Memory Column Stores. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 25–33 (2012).

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13.

Folkerts, E., Heimburger, R., Simchi-Levi, D., Youssef, N., Schwarz, C., Lorenz, M., Januschowski, T., Akkas, A.: Demand Forecasting with partial POS Data using In-Memory Technology. 32nd International Symposium on Forecasting in Boston (2012).

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14.

Treffer, A.: Understanding Code with Execution Traces. Proceedings of the 6th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2012).

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15.

Krüger, J., Wust, J., Faust, M., Berning, T., Plattner, H.: A Case for Inverted Indices for In-Memory Databases. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).

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16.

Schaffner, J., Jacobs, D., Kraska, T., Plattner, H.: The Multi-Tenant Data Placement Problem. The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).

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17.

Krüger, J., Johannsen, A.: Hauptspeicherdatenbanken für Unternehmensanwendungen. 11. Berlin-Brandenburger SAP-Forum. (2012).

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18.

Kowark, T.: Sharing Abstracted Subgraphs of Team Collaboration Networks. Proceedings of the 6th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2012).

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19.

Plattner, H., Zeier, A.: In-Memory Data Management - Technology and Applications. Springer (2012).

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20.

Krüger, J., Wust, J., Linkhorst, M., Plattner, H.: Leveraging Compression in In-Memory Databases. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 147–153 (2012).

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21.

Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).

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22.

Grund, M., Cudre-Mauroux, P., Krüger, J., Madden, S., Plattner, H.: An overview of HYRISE - a Main Memory Hybrid Storage Engine. IEEE Data Engineering Bulletin. (2012).

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23.

Mueller, S., Plattner, H.: An In-Depth Analysis of Data Aggregation Cost Factors in a Columnar In-Memory Database. ACM Fifteenth International Workshop On Data Warehousing and OLAP colocated with ACM CIKM, Maui (HI), USA (2012).

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2011

Loos, P., Lechtenbörger, J., Vossen, G., Zeier, A., Krüger, J., Müller, J., Lehner, W., Kossmann, D., Fabian, B., Günther, O., Winter, R.: In-memory Databases in Business Information Systems. Business & Information Systems Engineering. (2011).

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Faerber, F., Schaffner, J., Mathis, C., Culp, D.D., Kleis, W.: An In-Memory Database System for Multi-Tenant Applications. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

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Kowark, T., Mueller, J., Mueller, S., Zeier, A.: An Educational Testbed for the Computational Analysis of Collaboration in Early Stages of Software Development Processes. 44th Hawaii International Conference on System Sciences (HICSS), Kauai (HI), USA (2011).

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Kowark, T., Uflacker, M., Zeier, A.: Towards a Shared Platform for Virtual Collaboration Analysis. The 2011 International Conference on Software Engineering Research and Practice (SERP ’11) (2011).

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Panchenko, O., Plattner, H., Zeier, A.: Source Code Analytics. The 15th IASTED International Conference on Software Engineering and Applications (2011).

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Panchenko, O., Mueller, S., Plattner, H., Zeier, A.: Querying Source Code Using a Controlled Natural Language. The 6th International Conference on Software Engineering Advances, Barcelona, Spain (2011).

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Mueller, S., Plattner, H.: Aggregation Strategies for Columnar In-Memory Databases in a Mixed Workload. PIKM, in conjunction with the 20th ACM Conference on Information and Knowledge Management (CIKM), Glasgow, UK (2011).

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Hübner, F., Boese, J.-H., Krüger, J., Renkes, F., Tosun, C., Zeier, A., Plattner, H.: A Cost-Aware Strategy for Merging Differential Stores in Column-Oriented In-Memory DBMS. BIRTE - in conjunction with VLDB’11 (2011).

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Grund, M., Krüger, J., Plattner, H., Zeier, A., Cudre-Mauroux, P., Madden, S.: HYRISE - A Hybrid Main Memory Storage Engine. Proceedings of the VLDB Endowment Volume 4 Issue 2. pp. 105–116 (2011).

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10.

Panchenko, O.: In-Memory Database Support for Source Code Search and Analytics. 18th IEEE Working Conference on Reverse Engineering, Doctoral Symposium (2011).

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11.

Gumienny, R., Gericke, L., Dreseler, M., Meyer, S., Meinel, C.: User-centered Development of Social Collaboration Software. Collaborative Communities for Social Сomputing (CollaborateCom) (2011).

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12.

Schapranow, M.-P., Zeier, A., Plattner, H.: A Formal Model for Enabling RFID in Pharmaceutical Supply Chains. 44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011).

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13.

Borovskiy, V., Schwarz, C., Wust, J., Koch, W., Zeier, A.: A Linear Programming Approach for Optimizing Workload Distribution in a Cloud. CLOUD COMPUTING (2011).

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14.

Krüger, J., Grund, M., Wust, J., Zeier, A., Plattner, H.: Merging Differential Updates in In-Memory Column Store. Proceedings of the DBKDA 2011, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2011).

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15.

Borovskiy, V., Schwarz, C., Koch, W., Zeier, A.: Semantically Rich API for In-database Data Manipulation in Main-Memory ERP Systems. 13th International Conference on Enterprise Information Systems (2011).

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16.

Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: What are Authentic Pharmaceuticals Worth?. Designing and Deploying RFID Applications, pp. 204-220, INTECH Press (2011).

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17.

Schapranow, M.-P., Zeier, A., Plattner, H.: Security Extensions for Improving Data Security of Event Repositories in EPCglobal Networks. The 9th International Conference on Embedded and Ubiquitous Computing pp. 213-220 (2011).

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18.

Krüger, J., Kim, C., Grund, M., Satish, N., Schwalb, D., Chhugani, J., Dubey, P., Plattner, H., Zeier, A.: Fast Updates on Read-Optimized Databases Using Multi-Core CPUs. Proceedings of the VLDB Endowment Volume 5 Issue 1. 5, (2011).

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19.

Plattner, H., Zeier, A.: In-Memory Data Management - An Inflection Point for Enterprise Applications. Springer (2011).

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20.

Panchenko, O., Plattner, H., Zeier, A.: What Do Developers Search for in Source Code and Why. 3rd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE), Co-located with 33rd International Conference on Software Engineering (ICSE) Waikiki, Honolulu, Hawaii (2011).

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21.

Kowark, T., Zeier, A., Uflacker, M.: An Instrument for Real-Time Design Interaction Capture and Analysis. Design Thinking: Understand – Improve – Apply (2011).

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22.

Borovskiy, V., Koch, W., Zeier, A.: Business Object Query Language as Data Access API in ERP Systems. Lecture Notes on Business Information Processing, Springer. (2011).

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23.

Grund, M., Krüger, J., Kleine, M., Zeier, A., Plattner, H.: Optimal Query Operator Materialization Strategy for Hybrid Databases. Proceedings of the DBKDA 2011, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2011).

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24.

Grund, M., Krüger, J., Müller, J., Zeier, A., Plattner, H.: Dynamic Partitioning for Enterprise Applications. IEEE International Conference on Industrial Engineering and Engineering Management (2011).

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25.

Krüger, J., Grund, M., Jaeckel, I., Zeier, A., Plattner, H.: Applicability of GPU Computing for Efficient Merge in In-Memory Databases. Second International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (In conjunction with Very Large Data Bases, VLDB) (2011).

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26.

Schaffner, J., Zeier, A., Plattner, H., Kraska, T., Franklin, M., Jordan, M., Patterson, D.: Workload Management for Main Memory Databases in Data Clouds. Proceedings of the Fall 2010 Future SOC Lab Day, Christoph Meinel, Andreas Polze, AIexander Z., Gerhard Oswald, Dieter Herzog, Volker Smid, Doc D’Errico, Zahid Hussain (Eds.), Volume 42 (2011).

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27.

Wust, J.: Mixed Workload Management for In-Memory Databases. Proceedings of the 37th International Conference on Very Large Data Bases (VLDB2011) - PhD Workshop (2011).

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28.

Schapranow, M.-P., Zeier, A., Plattner, H., Müller, J., Lorenz, M.: Discovery Services in the EPC Network. Designing and Deploying RFID Applications, pp. 109-130, INTECH Press (2011).

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29.

Grund, M., Cudre-Mauroux, P., Madden, S.: A Demonstration of HYRISE- A Main Memory Hybrid Storage Engine. VLDB (2011).

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30.

Panchenko, O., Karstens, J., Plattner, H., Zeier, A.: Precise and Scalable Querying of Syntactical Source Code Patterns Using Sample Code Snippets and a Database. 19th IEEE International Conference on Program Comprehension (ICPC), Kingston, Ontario, Canada (2011).

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31.

Krüger, J., Hübner, F., Wust, J., Boissier, M., Zeier, A., Plattner, H.: Main Memory Databases for Enterprise Applications. IEEE 18Th International Conference on Industrial Engineering and Engineering Management (IE&EM), 2011 (2011).

[ BibTeX ] [ Download ]

32.

Kowark, T.: A Shared Platform for the Analysis of Virtual Team Collaboration. Proceedings of the 5th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2011).

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33.

Bog, A., Sachs, K., Zeier, A.: Benchmarking Database Design for Mixed OLTP and OLAP Workloads. Proceeding of the second joint WOSP/SIPEW international conference on Performance engineering (2011).

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34.

Schaffner, J., Eckart, B., Schwarz, C., Brunnert, J., Jacobs, D., Zeier, A., Plattner, H.: Simulating Multi-Tenant OLAP Database Clusters. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

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35.

Krüger, J., Grund, M., Zeier, A., Plattner, H.: An Architecture-Aware Compaction Process. Proceedings of the Fall 2010 Future SOC Lab Day (2011).

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36.

Schapranow, M.-P., Lorenz, M., Zeier, A., Plattner, H.: License-based Access Control in EPCglobal Networks. The 7th European Workshop on RFID Systems and Technologies, pp. 1-7 (2011).

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37.

Schwarz, C., Borovskiy, V., Zeier, A.: Optimizing Operation Scheduling for In-Memory Databases. The 2011 International Conference on Modeling, Simulation and Visualization Methods (2011).

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38.

Zeier, A., Müller, J., Plattner, H.: A Real-Time RFID Discovery Service for the Extended Enterprise Enabled by In-Memory Data Management. International Journal of RF Technologies. (2011).

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39.

Schaffner, J., Eckart, B., Jacobs, D., Plattner, H., Zeier, A., Schwarz, C.: Predicting In-Memory Database Performance for Automating Cluster Management Tasks. 27th IEEE International Conference on Data Engineering (ICDE) (2011).

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40.

Panchenko, O., Plattner, H., Zeier, A.: Mapping Terms in Application and Implementation Domains. Workshop on Software Reengineering, Bad-Honnef, Germany (2011).

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41.

Schapranow, M.-P., Zeier, A., Leupold, F., Schubotz, T.: Securing EPCglobal Object Name Service -- Privacy Enhancements for Anti-counterfeiting. 2nd International Conference on Intelligent Systems, Modeling and Simulation, pp. 332-337 (2011).

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42.

Lorenz, M., Müller, J., Schapranow, M.-P., Zeier, A.: A Distributed EPC Discovery Service based on Peer-to-peer Technology. Proceedings of the RFID SysTech 2011, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden. pp. 1–7. VDE (2011).

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43.

Plattner, H.: SanssouciDB: An In-Memory Database for Processing Enterprise Workloads. BTW (2011).

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44.

Panchenko, O., Treffer, A., Plattner, H., Zeier, A.: Two Algorithms for Locating Ancestors of a Large Set of Vertices in a Tree. International Conference on Software and Data Technologies, Sevillia, Spain (2011).

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45.

Bog, A., Sachs, K., Zeier, A., Plattner, H.: Normalization in a Mixed OLTP and OLAP Workload Scenario. Third TPC Technology Conference on Performance Evaluation & Benchmarking (TPC TC), Collocated with VLDB2011, Aug 29 - Sep 3, Seattle, WA (2011).

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46.

Zeier, A., Plattner, H., Schapranow, M.-P., Müller, J.: Costs of Authentic Pharmaceuticals: Research on Qualitative and Quantitative Aspects of Enabling Anti-counterfeiting in RFID-aided Supply Chains. Personal and Ubiquitous Computing, Volume 16, Issue 3. 271–289 (2011).

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47.

Tinnefeld, C., Zeier, A., Plattner, H.: Cache-Conscious Data Placement in an In-Memory Key-Value Store. IDEAS’11: 15th International Database Engineering & Applications Symposium (2011).

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48.

Plattner, H., Zeier, A., Tosun, C., Blessing, S., Krüger, J., Wust, J.: xSellerate: Supporting Sales Representatives with Real-Time Information in Customer Dialogs. In-Memory Data Management (2011).

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49.

Mueller, S., Eickhoff, D., Zeier, A., Plattner, H.: Application-Aware Aggregations in a Columnar In-Memory Database. ICMIA, The 3rd International Conference on Data Mining and Intelligent Information Technnology, Macau, China (2011).

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50.

Zeier, A., Jacobs, D., Schwarz, C., Eckart, B., Schaffner, J.: Towards Analytics-as-a-Service Using an In-Memory Column Database. Divyakant Agrawal, K. Selçuk Candan, Wen-Syan Li (Eds.): New Frontiers in Information and Software as Services Service and Application Design Challenges in the Cloud, LNBIP Volume 74, pp. 257–282, Springer-Verlag, Berlin Heidelberg (2011).

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51.

Alexandrov, A., Schiefer, B., Poelman, J., Ewen, S., Bodner, T., Markl, V.: Myriad: Parallel Data Generation on Shared-nothing Architectures. Proceedings of the PACT Workshop on Architectures and Systems for Big Data. (2011).

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52.

Kowark, T., Dobrigkeit, P., Zeier, A.: Towards a Shared Repository for Patterns in Virtual Team Collaboration. 5th International Conference on New Trends in Information Science and Service Science (2011).

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53.

Zeier, A., Plattner, H., Butzmann, L., Klauck, S., Tinnefeld, C., Mueller, S.: Available-To-Promise on an In-Memory Column Store. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).

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54.

Lehner, W., Kossmann, D., Fabian, B., Günther, O., Winter, R., Loos, P., Lechtenbörger, J., Vossen, G., Zeier, A., Krüger, J., Müller, J.: In-Memory-Datenmanagement in betrieblichen Anwendungssystemen. Wirtschaftsinformatik 6. (2011).

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55.

Fähnrich, C., Lorey, J., Naumann, F., Forchhammer, B., Mascher, A., Retzlaff, P., Farahani, A.Z., Discher, S., Lemme, S., Papenbrock, T., Peschel, R.C., Stephan, R., Stening, T., Viehmeier, S.: Black Swan: Augmenting Statistics with Event Data. Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM ’11). pp. 2517–2520 (2011).

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56.

Schapranow, M.-P., Fähnrich, C., Zeier, A., Plattner, H.: Simulation of RFID-aided Supply Chains: Case Study of the Pharmaceutical Supply Chain. Third International Conference on Computational Intelligence, Modelling and Simulation, pp. 340-345 (2011).

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57.

Tinnefeld, C., Plattner, H.: Exploiting memory locality in distributed key-value stores. ICDE Workshops 2011 (2011).

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2010

Panchenko, O., Plattner, H., Zeier, A.: Efficient Storage and Fast Querying of Source Code. Information Systems Frontiers Journal, Springer. (2010).

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Schapranow, M.-P., Kühne, R., Zeier, A.: Real-Time Billing in Smart Grid Infrastructures. Power and Energy Student Summit 2010 - Integration of Renewable Energies into the Grid (2010).

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Krüger, J., Grund, M., Boissier, M., Zeier, A., Plattner, H.: Data Structures for Mixed Workloads in In-Memory Databases. 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2010 (2010).

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Treffer, A., Panchenko, O., Zeier, A.: Towards Query Formulation and Visualization of Structural Search Results. 2nd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE), Colocated with 32nd International Conference on Software Engineering (ICSE), Cape Town, South Africa (2010).

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Borovskiy, V., Koch, W., Zeier, A., Plattner, H.: Data manipulation APIs for ERP systems. IMS (2010).

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Krüger, J., Grund, M., Tinnefeld, C., Plattner, H., Zeier, A., Faerber, F.: Optimizing Write Performance for Read Optimized Databases. Database Systems for Advanced Applications, Japan (2010).

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Schapranow, M.-P., Zeier, A., Plattner, H.: A Dynamic Mutual RFID Authentication Model Preventing Unauthorized Third Party Access. The 4th International Conference on Network and System Security, , pp. 371-376 (2010).

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Borovskiy, V., Koch, W., Zeier, A.: Data manipulation API in ERP systems. 22nd International Conference on Software Engineering and Knowledge Engineering, San Francisco, USA (2010).

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Panchenko, O., Kupriyanov, Y., Taratoukhine, V., Zeier, A.: Fuzzy Sets for Purchase Planning in Uncertain Conditions. IEEE The 17th International Conference on Industrial Engineering and Engineering Management, Xiamen, China (2010).

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10.

Borovskiy, V., Koch, W., Zeier, A.: Flexible Data Access in ERP systems. 12th International Conference on Enterprise Information Systems, Funchal, Portugal (2010).

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11.

Müller, J., Oberst, J., Wehrmeyer, S., Witt, J., Zeier, A.: An Aggregating Discovery Service for the EPCglobal Network. Proceedings of the 43th Hawai’i International Conference on System Sciences (HICSS), Koloa, Hawaii, USA (2010).

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12.

Schapranow, M.-P., Geller, F., Lorenz, M., Müller, J., Kowark, T., Zeier, A.: Assessment of Communication Protocols in the EPC Network: Replacing Textual SOAP and XML with Binary Google Protocol Buffers Encoding. 17th IEEE International Conference on Industrial Engineering and Engineering Management (IE&EM), Xiamen, China (2010).

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13.

Krüger, J., Grund, M., Tinnefeld, C., Eckart, B., Zeier, A., Plattner, H.: Hauptspeicherdatenbanken für Unternehmensanwendungen. Datenbank-Spektrum. (2010).

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14.

Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: RFID Event Data Processing -- An Architecture for Storing and Searching. Proceedings of the 4th International Workshop on RFID Technology - Concepts, Applications, Challenges, Funchal, Madeira, Portugal (2010).

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15.

Schapranow, M.-P., Kühne, R., Zeier, A.: Enabling Real-Time Charging for Smart Grid Infrastructures using In-Memory Databases. 1st IEEE LCN Workshop on Smart Grid Networking Infrastructure (2010).

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16.

Bog, A., Plattner, H., Zeier, A.: A mixed transaction processing and operational reporting benchmark. Information Systems Frontiers, Springer, pp. 1-15. (2010).

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17.

Kowark, T.: Towards a service landscape for a real-time project manager dashboard. Proceedings of the 4th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2010).

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18.

Eckart, B., Brunnert, J., Schaffner, J., Zeier, A., Jacobs, D.: Towards Enterprise Software as a Service in the Cloud. Second IEEE Workshop on Information & Software as Services in Conjunction with ICDE 2010, Long Beach, CA, USA (2010).

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19.

Müller, J., Schapranow, M.-P., Pöpke, C., Urbat, M., Zeier, A., Plattner, H.: Best Practices for Rigorous Evaluation of RFID Software Components. Proceedings of the 6th European Workshop on RFID Systems and Technologies (RFID !SysTech’10), Ciudad Real, Spain (2010).

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20.

Borovskiy, V., Koch, W., Zeier, A.: Parallelism, adaptation and flexible data access in on-demand ERP systems. 5th International Conference on Software and Data Technologies, Athens, Greece (2010).

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21.

Paradies, M., Lemke, C., Plattner, H., Lehner, W., Sattler, K.-U., Zeier, A., Krüger, J.: How to Juggle Columns: An Entropy-Based Approach for Table Compression. IDEAS (2010).

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22.

Bog, A., Panchenko, O., Spichale, K., Zeier, A.: Automatic Identification of Cohesive Structures within Modularity Reengineering. International Journal On Advances in Software, vol 3 nr 1&2. (2010).

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23.

Panchenko, O., Koglin, A., Bohnet, J., Zeier, A.: An XPath-based Query Language for Trace Analysis. 5th International Workshop on Program Comprehension through Dynamic Analysis (PCODA), co-located with WCRE, Boston, USA (2010).

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24.

Krüger, J., Grund, M., Zeier, A., Plattner, H.: Enterprise Application-specific Data Management. EDOC 2010 (2010).

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