End-Edge-Cloud Heterogeneous Resources Scheduling Method Based on RNN and Particle Swarm Optimization

Task scheduling in cloud computing is a challenging but crucial task for ensuring service quality and load balance. Mainstream scheduling algorithms, such as heuristic algorithms and reinforcement learning, have made progress in this area. However, online task scheduling algorithms, such as reinforc...

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Veröffentlicht in:	IEEE eTransactions on network and service management 2024-11, p.1-1
Hauptverfasser:	Wu, Haijie, Shen, Wangbo, Lin, Weiwei, Li, Wei, Li, Keqin
Format:	Artikel
Sprache:	eng
Schlagworte:	Cantor expansion Cloud computing Collaboration end-edge-cloud Job shop scheduling particle swarm optimization Performance evaluation Processor scheduling recurrent neural network Recurrent neural networks Scheduling Scheduling algorithms Servers Training
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