Deep reinforcement learning for fault-tolerant workflow scheduling in cloud environment

Cloud computing is widely used in various fields, which can provide sufficient computing resources to address users’ demands (workflows) quickly and effectively. However, resource failure is inevitable, and a challenge to optimize the workflow scheduling is to consider the fault tolerance. Most of p...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-05, Vol.53 (9), p.9916-9932
Hauptverfasser:	Dong, Tingting, Xue, Fei, Tang, Hengliang, Xiao, Chuangbai
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Cloud computing Computer Science Deep learning Fault tolerance Heuristic methods Machines Manufacturing Markov processes Mechanical Engineering Processes Scheduling Workflow
Online-Zugang:	Volltext
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