Distributed Stream Rebalance for Stateful Operator Under Workload Variance
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DOI: 10.1109/tpds.2018.2827380
Abstract: Key-based workload partitioning is now commonly used in parallel stream processing, enabling effective key-value tuple distribution over worker threads in a logical operator. While randomized hashing on the keys is capable of balancing the workload… read more here.
Keywords: workload variance; workload; key based; stateful ... See more keywords