Drag-JDEC: A Deep Reinforcement Learning and Graph Neural Network-based Job Dispatching Model in Edge Computing

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)(2021)

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摘要
The emergence of edge computing eases latency pressure in remote cloud and computing pressure of terminal devices, providing new solutions for real-time applications. Jobs of end devices are offloaded to a server in the cloud or an edge cluster for execution. Unreasonable job dispatching strategies will not only affect the completion time of tasks violating the users’ QoS but also reduce the resou...
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关键词
Job dispatching,deep reinforcement learning,graph neural network,edge computing
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