Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning

Xinglong Pei; Penghao Sun; Yuxiang Hu; Dan Li; Le Tian; Ziyong Li

doi:10.1016/j.future.2024.06.033

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JOURNAL ARTICLE

Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning

Xinglong Pei Penghao Sun Yuxiang Hu Dan Li Le Tian Ziyong Li

Year: 2024 Journal: Future Generation Computer Systems Vol: 160 Pages: 522-536 Publisher: Elsevier BV

DOI: 10.1016/j.future.2024.06.033

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Keywords:

Computer science Reinforcement learning Interleaving Cloud computing Scheduling (production processes) Distributed computing Edge device Task (project management) Enhanced Data Rates for GSM Evolution Artificial intelligence Operating system Mathematical optimization Systems engineering

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Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning

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Citation History

Topics

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