Jan Kossmann, M.Sc.

Research Assistant, PhD Candidate

	Phone:	+49 (331) 5509-1323
	Fax:	+49 (331) 5509-579
	Email:	jan.kossmann(at)hpi.de
	Room:	V-2.02 (Campus II)
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	Xing:	Profile

Research Topics

In-Memory Databases
Self-Adaptive Database Systems

Publications

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 ]

@conference{dreseler2018fused, author = {Dreseler, Markus and Kossmann, Jan and Frohnhofen, Johannes and Uflacker, Matthias and Plattner, Hasso}, booktitle = {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}, keywords = {hyrise}, title = {Fused Table Scans: Combining AVX-512 and JIT to Double the Performance of Multi-Predicate Scans}, year = 2018 }
Kossmann, J., Dreseler, M., Gasda, T., Uflacker, M., Plattner, H.: Visual Evaluation of SQL Plan Cache Algorithms. Australasian Database Conference (ADC) (2018).

[ BibTeX ]

@conference{kossmann2018visual, author = {Kossmann, Jan and Dreseler, Markus and Gasda, Timo and Uflacker, Matthias and Plattner, Hasso}, booktitle = {Australasian Database Conference (ADC)}, keywords = {hyrise}, title = {Visual Evaluation of SQL Plan Cache Algorithms}, year = 2018 }
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 ]

@conference{dreseler2018adaptive, author = {Dreseler, Markus and Gasda, Timo and Kossmann, Jan and Uflacker, Matthias and Plattner, Hasso}, booktitle = {Australasian Database Conference (ADC)}, keywords = {hyrise}, title = {Adaptive Access Path Selection for Hardware-Accelerated DRAM Loads}, year = 2018 }
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).

[ BibTeX ]

@inproceedings{Stefanie2015a, author = {Mueller, Stefanie and Fritzsche, Martin and Kossmann, Jan and Schneider, Maximilian and Striebel, Jonathan and Baudisch, Patrick}, journal = {TEI '15 Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction}, keywords = {imported}, pages = {233-240}, title = {Scotty: Relocating Physical Objects Across Distances Using Destructive Scanning, Encryption, and 3D Printing}, year = 2015 }
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).

[ BibTeX ]

@inproceedings{David2015d, abstract = {In-memory database systems are well-suited for enterprise workloads, consisting of transactional and analytical queries. A growing number of users and an increasing demand for enterprise applications can saturate or even overload single- node database systems at peak times. Better performance can be achieved by improving a single machine’s hardware but it is often cheaper and more practicable to follow a scale-out approach and replicate data by using additional machines. In this paper we present Hyrise-R, a lazy master replication system for the in-memory database Hyrise. By setting up a snapshot-based Hyrise cluster, we increase both performance by distributing queries over multiple instances and availability by utilizing the redundancy of the cluster structure. This paper describes the architecture of Hyrise- R and details of the implemented replication mechanisms. We set up Hyrise-R on instances of Amazon’s Elastic Compute Cloud and present a detailed performance evaluation of our system, including a linear query throughput increase for enterprise workloads.}, author = {Schwalb, David and Kossmann, Jan and Faust, Martin and Klauck, Stefan and Uflacker, Matthias and Plattner, Hasso}, booktitle = {Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics (IMDM), in conjunction with VLDB 2015 Kohala Coast, Hawaii}, keywords = {HYRISE imported}, title = {Hyrise-R: Scale-out and Hot-Standby through Lazy Master Replication for Enterprise Applications}, year = 2015 }

Teaching Activities

Summer Term 2018

Winter Term 2017/2018

Build your own Database

Summer Term 2017

Winter Term 2016/2017

Supervised Master's Theses

Current

Query Plan Reevaluation
Leveraging Probabilistic Index Data Structures for In-Memory Databases

Completed

JIT Compilation for Hyrise
Heterogenous Index Distribution in Multi-Node In-Memory Database Systems
Building an SQL Interface and Leveraging Query Plan Caching for a Relational Database

Master's Thesis

Self-Tuned Index Selection for the Columnar In-Memory Database Hyrise

Jan Kossmann, M.Sc.

Research Assistant, PhD Candidate

Research Topics

Publications

Teaching Activities

Supervised Master's Theses

Master's Thesis

Chair of Prof. Hasso Plattner

News

16.05.2018 | Top ranks at Fifth BioASQ Challenge

09.05.2018 | Paper accepted at SSDBM 2018

09.04.2018 | SORMAS technical paper published in Frontiers in ICT

28.02.2018 | Paper accepted at ICDE 2018

28.01.2018 | Best Paper Award received at ICORES'18

Open Positions

Literature