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From Dominik Safaric <dominiksafa...@gmail.com>
Subject Re: Benchmarking streaming frameworks
Date Thu, 23 Mar 2017 14:30:10 GMT
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.vanDongen@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


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