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most citedA Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing

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cs.DC2019★ 1 cited

A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing

Zhi Cao, Honggang Zhang, Yu Cao +1

We are interested in the optimal scheduling of a collection of multi-component application jobs in an edge computing system that consists of geo-distributed edge computing nodes co…