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From Anis Nasir <aadi.a...@gmail.com>
Subject Handling skewness and Heterogeniety
Date Wed, 15 Feb 2017 01:12:38 GMT
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!


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