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 <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.
