Resource Allocation and Power Management in Cloud Servers Using Deep Reinforcement Learning

Sushil Shakya; Subarna Shakya

doi:10.1007/978-981-16-5157-1_62

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Resource Allocation and Power Management in Cloud Servers Using Deep Reinforcement Learning

Sushil Shakya Subarna Shakya

Year: 2021 Advances in intelligent systems and computing Pages: 789-798 Publisher: Springer Nature

DOI: 10.1007/978-981-16-5157-1_62

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Keywords:

Computer science Reinforcement learning Cloud computing Latency (audio) Distributed computing Scheduling (production processes) Server Resource management (computing) Task (project management) Task management Artificial intelligence Computer network Operating system Operations management Engineering Systems engineering

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Cited By

1.04

FWCI (Field Weighted Citation Impact)

Refs

0.78

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

Resource Allocation and Power Management in Cloud Servers Using Deep Reinforcement Learning

Metrics

Citation History

Topics

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