Dear All, I have few use cases for Flink streaming where the cluster consist of heterogenous machines.
Additionally, there is skew present in both the input distribution (e.g., each tuple is drawn from a zipf distribution) and the service time (e.g., service time required for each tuple comes from a zipf distribution). I want to know who Flink will handle such use cases assuming that the distribution of both workload and cluster is unknown in prior. Any help will be highly appreciated! Regards, Anis
