A novel deep reinforcement learning scheme for task scheduling in cloud computing

K Siddesha; G.V. Jayaramaiah; Chandrapal Singh

doi:10.1007/s10586-022-03630-2

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JOURNAL ARTICLE

A novel deep reinforcement learning scheme for task scheduling in cloud computing

K Siddesha G.V. Jayaramaiah Chandrapal Singh

Year: 2022 Journal: Cluster Computing Vol: 25 (6)Pages: 4171-4188 Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-022-03630-2

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Keywords:

Computer science Cloud computing Distributed computing Reinforcement learning Scheduling (production processes) Server Energy consumption Job shop scheduling Workload Virtual machine Real-time computing Artificial intelligence Computer network Operating system Mathematical optimization Schedule

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Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

A novel deep reinforcement learning scheme for task scheduling in cloud computing

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