Towards Low-Latency Distributed Tasks Collaboration by Joint Optimization of Transmission, Computation and Storage Resources Allocation in Edge Computing

Jialong Li; Jialong Li; Nan Hua; Nan Hua; Chen Zhao; Chen Zhao; Yanhe Li; Xiaoping Zheng; Xiaoping Zheng; Bingkun Zhou; Bingkun Zhou

doi:10.1364/ACPC.2020.M4A.210

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.210
•https://doi.org/10.1364/ACPC.2020.M4A.210

Towards Low-Latency Distributed Tasks Collaboration by Joint Optimization of Transmission, Computation and Storage Resources Allocation in Edge Computing

Jialong Li, Nan Hua, Chen Zhao, Yanhe Li, Xiaoping Zheng, and Bingkun Zhou

Asia Communications and Photonics Conference 2020

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

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J. Li, N. Hua, C. Zhao, Y. Li, X. Zheng, and B. Zhou, "Towards Low-Latency Distributed Tasks Collaboration by Joint Optimization of Transmission, Computation and Storage Resources Allocation in Edge Computing," 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.210.

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Abstract

We propose a collaboration strategy by jointly considering the transmission, computation, and storage resources to reduce the completion time of distributed tasks in edge computing. Results show that over 50% completion time reduction is achieved.

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