Research on Resource Scheduling of Computing Power Network Based on Deep Q-Network Algorithm

The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent processing of computing tasks. This article focuses on the resource scheduling problem of computing power networks, using the DQN algorithm i...

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Vydáno v:2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE) s. 77 - 82
Hlavní autoři: Wang, Zhijun, Zhou, Jingbo
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 11.10.2024
Témata:
Cloud computing
Clustering algorithms
computing power network
Deep Q-network algorithm
Deep reinforcement learning
Processor scheduling
Random forests
resource allocation
Resource management
Schedules
Scheduling
Software algorithms
Software engineering
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Shrnutí:The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent processing of computing tasks. This article focuses on the resource scheduling problem of computing power networks, using the DQN algorithm in deep reinforcement learning to optimize resource utilization, resource mobilization rate, and reduce task loss rate, providing a solution.
DOI:10.1109/CBASE64041.2024.10824373