Leveraging Brain-like Resource Algorithm to Achieve Efficient Resource Allocation in Datacenter Optical Networks

Guanliang Zhao; Hui Yang; Yichen Wu; Yong Jiang; Huifeng Guo; Jie Zhang

doi:10.1364/ACPC.2020.M4A.212

Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
OSA Technical Digest (Optica Publishing Group, 2020),
paper M4A.212
•https://doi.org/10.1364/ACPC.2020.M4A.212

Leveraging Brain-like Resource Algorithm to Achieve Efficient Resource Allocation in Datacenter Optical Networks

Guanliang Zhao, Hui Yang, Yichen Wu, Yong Jiang, Huifeng Guo, and Jie Zhang

Asia Communications and Photonics Conference 2020

Beijing China
24–27 October 2020
ISBN: 978-1-943580-82-8

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G. Zhao, H. Yang, Y. Wu, Y. Jiang, H. Guo, and J. Zhang, "Leveraging Brain-like Resource Algorithm to Achieve Efficient Resource Allocation in Datacenter Optical Networks," in Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), K. Xu, D. Simeonidou, C. Chang-Hasnain, N. Wada, X. Ren, Z. Zhukov, P. Perry Shum, Y. Ji, J. Zhang, X. Zhou, C. Lu, and L. Wosinska, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper M4A.212.

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Abstract

This paper proposes a brain-like resource allocation strategy for data center optical networks with high bandwidth demand differences. Experiments show that this strategy can improve bandwidth utilization, reduce network latency and reduce blocking rate.

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