All those should apply for streaming too... On Mon, Nov 16, 2015 at 11:06 AM, Vasiliki Kalavri < vasilikikala...@gmail.com> wrote:
> 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. >> >> >> >
