Hi, thanks Nick and Ovidiu for the links!
Just to clarify, we're not looking into creating a generic streaming benchmark. We have quite limited time and resources for this project. What we want is to decide on a set of 3-4 _common_ streaming applications. To give you an idea, for the batch workload, we will pick something like a grep, one relational application, a graph algorithm, and an ML algorithm. Cheers, -Vasia. On 16 November 2015 at 19:25, Ovidiu-Cristian MARCU < ovidiu-cristian.ma...@inria.fr> wrote: > Regarding Flink vs Spark / Storm you can check here: > http://www.sparkbigdata.com/102-spark-blog-slim-baltagi/14-results-of-a-benchmark-between-apache-flink-and-apache-spark > > Best regards, > Ovidiu > > On 16 Nov 2015, at 15:21, Vasiliki Kalavri <vasilikikala...@gmail.com> > wrote: > > Hello squirrels, > > with some colleagues and students here at KTH, we have started 2 projects > to evaluate (1) performance and (2) behavior in the presence of memory > interference in cloud environments, for Flink and other systems. We want to > provide our students with a workload of representative applications for > testing. > > While for batch applications, it is quite clear to us what classes of > applications are widely used and how to create a workload of different > types of applications, we are not quite sure about the streaming workload. > > That's why, we'd like your opinions! If you're using Flink streaming in > your company or your project, we'd love your input even more :-) > > What kind of applications would you consider as "representative" of a > streaming workload? Have you run any experiments to evaluate Flink versus > Spark, Storm etc.? If yes, would you mind sharing your code with us? > > We will of course be happy to share our results with everyone after we > have completed our study. > > Thanks a lot! > -Vasia. > > >
