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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!


Regards,
Anis

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