Hello everyone! Earlier we have posted a topic about the plan of including Flink support in our big data benchmark, which is called BigDataBench. The benchmarks can be found on http://prof.ict.ac.cn/BigDataBench/. Now we have released a new version including Flink benchmarks. It is now a beta version and the benchmarks include basic batch processing like word count, grep, and iteration processing like page rank, delta page rank and KMeans. For better comparison with Spark, we used the KMeans++ algorithm, and also included a KMeans|| version.
We have also released a graph benchmark including five benchmarks on Flink Gelly, Spark GraphX and GraphLab, and we believe such benchmarks may help users to compare those systems in an easy way. Other benchmarks such as streaming processing are in process. We also have got some preliminary results about the performance comparison of Hadoop, Spark and Flink, which has been put on website: http://www.bafst.com/top100.html We hope we can get more suggestions about the performance evaluation and benchmark designs. If you have any advice or question, please post it to our group on LinkedIn: http://www.linkedin.com/groups/6777483?trk=hp-feed-group-name, or contract me directly by sending an email to tianxin...@ict.ac.cn, we will be very grateful for every advice. Thanks very much :) -- View this message in context: http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/Flink-Benchmarks-have-been-included-in-BigDataBench-tp9639.html Sent from the Apache Flink Mailing List archive. mailing list archive at Nabble.com.
