Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing

Omar Houidi; Sihem Bakri; Djamal Zeghlache

doi:10.1109/noms54207.2022.9789872

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JOURNAL ARTICLE

Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing

Omar Houidi Sihem Bakri Djamal Zeghlache

Year: 2022 Journal: NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium

DOI: 10.1109/noms54207.2022.9789872

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Abstract

International audience

Keywords:

Computer science Reinforcement learning Graph Load balancing (electrical power) Network packet Throughput Packet loss Distributed computing Computer network Real-time computing Machine learning Theoretical computer science Wireless

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0.69

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0.77

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Citation History

Topics

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Network Traffic and Congestion Control

Physical Sciences → Computer Science → Computer Networks and Communications

Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing

Abstract

Metrics

Citation History

Topics

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