Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

Martin Boissier

Research Assistant, PhD Candidate

Martin BoissierPhone: +49 (331) 5509 - 1330
Fax: +49 (331) 97992 - 579
E-Mail: martin.boissier(at)hpi.de
Website:https://martin.boissier.de
Room: Hasso-Plattner-Villa, V 2.05

Research Topics

  • In-Memory Database Technology: Data Aging & Data Tiering
    • Workload-Driven Partitioning for Mixed Workload OLxP Databases
    • Hybrid Data Structures for Tiered Column-Stores
    • Pruning and Partition Elimination for OLxP Databases
    • Cost Model-Driven Column Eviction
  • Dynamic Pricing
    • Demand Learning

Publications

  • Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Revised Selected Papers of ICORES 2017. Springer (2017).
     
  • 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. bll. 61-66. IEEE (2017).
     
  • 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. bll. 355-357. ACM, New York, NY, USA (2017).
     
  • 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. bll. 25:1-25:10. ACM, New York, NY, USA (2017).
     
  • 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 (2017).
     
  • 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).
     
  • 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).
     
  • 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. bl. 285--299 (2016).
     
  • 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. bl. 2473--2475. ACM, New York, NY, USA (2016).
     
  • 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. bl. 137--151 (2016).
     
  • 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., en Jacobsen, H.-A. (reds.) Big Data Benchmarking. bll. 132-144. Springer International Publishing (2015).
     
  • 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).
     
  • Boissier, M.: Optimizing Main Memory Utilization of Columnar In-Memory Databases Using Data Eviction. Proceedings of Phd Workshop @ VLDB 2014, Hangzhou (2014).
     
  • Boissier, M., Krüger, J., Wust, J., Plattner, H.: An Integrated Data Management for Enterprise Systems. In: Hammoudi, S., Maciaszek, L.A., en Cordeiro, J. (reds.) ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. bll. 410-418. SciTePress (2014).
     
  • 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).
     
  • 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).
     

Teaching

Lectures:

Supervised Master Theses:

  • "Predicting movie success before release – Using individualized econometric models to predict box office performance." (handed in Jan 2017) 
  • "Workload-Aware Partitioning and Query Pruning for Mixed Workloads on In-Memory Databases" (handed in Jan 2016)