Dear Giselle, Given below are some of the works which I have conducted on stream processing benchmarking. I hope they will be interesting for you. [1] http://wso2.com/library/articles/2015/12/article-distributed-scaling-of-wso2-complex-event-processor/
[2] Miyuru Dayarathna et al., Energy consumption analysis of data stream processing: a benchmarking approach, John Wiley & Sons, Ltd http://onlinelibrary.wiley.com/doi/10.1002/spe.2458/full [3] Miyuru Dayarathna and Toyotaro Suzumura, "A Performance Analysis of System S, S4, and Esper via Two Level Benchmarking", QEST 2013 (10th International Conference on Quantitative Evaluation of SysTems), Buenos Aires, Argentina, 2013/8 https://dl.dropboxusercontent.com/u/718778/papers/qest66.pdf [4] Miyuru Dayarathna, Sohei Takeno, Toyotaro Suzumura "A Performance Study on Operator-based Stream Processing Systems", IEEE IISWC 2011 ( IEEE International Symposium on Workload Characterization) , 2011/11, Austin, TX, US, Short Paper, https://dl.dropboxusercontent.com/u/718778/papers/VCTL_Perf_IISWC2011.pdf There are few more related papers/articles which I have mentioned in the references sections of the above papers/articles. Investigating on those references will also be helpful for your research. Thanks, Miyuru Dayarathna, Ph.D. Senior Technical Lead, WSO2 Inc. On Thursday, 23 March 2017, 15:36, Giselle van Dongen <[email protected]> wrote: <!--#yiv8484252906 P{margin-top:0;margin-bottom:0;}#yiv8484252906 p {margin-top:0;margin-bottom:0;}-->Dear users of Streaming Technologies, As a PhD student in big data analytics, I am currently in the process of compiling a list of benchmarks (to test multiple streaming frameworks) in order to create an expanded benchmarking suite. The benchmark suite is being developed as a part of my current work at Ghent University. The included frameworks at this time are, in no particular order, Spark, Flink, Kafka (Streams), Storm (Trident) and Drizzle. Any pointers to previous work or relevant benchmarks would be appreciated. Best regards, Giselle van Dongen
