Publication details

A Performance Benchmark of NetFlow Data Analysis on Distributed Stream Processing Systems

Authors

ČERMÁK Milan TOVARŇÁK Daniel LAŠTOVIČKA Martin ČELEDA Pavel

Year of publication 2016
Type Article in Proceedings
Conference NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium
MU Faculty or unit

Institute of Computer Science

Citation
Web http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7502926
Doi http://dx.doi.org/10.1109/NOMS.2016.7502926
Field Informatics
Keywords Performance benchmark;NetFlow;Stream Processing
Attached files
Description Modern distributed stream processing systems can be potentially applied to real time network flow processing. However, differences in performance make some systems more suitable than others for being applied in this domain. We propose a novel performance benchmark which is based on a common security analysis algorithms of NetFlow data, to determine the suitability of distributed stream processing system. Three of the most used distributed stream processing systems are benchmarked and results are compared with identified NetFlow data processing challenges and requirements. Benchmark results show that each system reached a sufficient data processing speed using basic deployment scenario with little to no configuration tuning. Our benchmark, unlike any other, enables to determine a performance of processing small structured messages on any stream processing system.
Related projects: