Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

19 Nov 2019Xiang NiJing LiMo YuWang ZhouKun-Lung Wu

This paper considers the problem of resource allocation in stream processing, where continuous data flows must be processed in real time in a large distributed system. To maximize system throughput, the resource allocation strategy that partitions the computation tasks of a stream processing graph onto computing devices must simultaneously balance workload distribution and minimize communication... (read more)

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