Dear Giselle, Various stream processing engines benchmarks already exist. Here are only a few of them I believe are worthwhile mentioning:
http://ieeexplore.ieee.org/document/7530084/ <http://ieeexplore.ieee.org/document/7530084/> https://www.usenix.org/node/188989 <https://www.usenix.org/node/188989> https://pdfs.semanticscholar.org/c82f/170fbc837291d94dc0a18f0223d182144339.pdf <https://pdfs.semanticscholar.org/c82f/170fbc837291d94dc0a18f0223d182144339.pdf> https://people.eecs.berkeley.edu/~kubitron/courses/cs262a-F14/projects/reports/project11_report_ver3.pdf <https://people.eecs.berkeley.edu/~kubitron/courses/cs262a-F14/projects/reports/project11_report_ver3.pdf> https://hal.inria.fr/hal-01347638/document <https://hal.inria.fr/hal-01347638/document> Regards, Dominik > On 23 Mar 2017, at 11:09, Giselle van Dongen <giselle.vandon...@ugent.be> > wrote: > > 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
