Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning

In the stochastic and dynamic edge-cloud collaborative environment, the computing resources of the host are limited, and the resource requirements of computing tasks are random and changeable. Therefore, how to efficiently schedule dynamic tasks and improve system performance becomes challenging. Th...

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Veröffentlicht in:The Journal of supercomputing 2024-03, Vol.80 (5), p.6917-6945
Hauptverfasser: Cheng, Yuqing, Cao, Zhiying, Zhang, Xiuguo, Cao, Qilei, Zhang, Dezhen
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Sprache:eng
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