Energy-efficient workload allocation in edge-cloud fiber-wireless networks

被引：3
|
作者：
Wang, Shoucui [1 ]
Chen, Bowen [1 ,2 ]
Liang, Ruixin [1 ]
Liu, Ling [1 ]
Chen, Hong [1 ]
Gao, Mingyi [1 ]
Wu, Jinbing [2 ]
Ju, Weiguo [3 ]
Ho, Pin-Han [4 ]
机构：
[1] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215006, Jiangsu, Peoples R China
[2] Suzhou LZY Technol Co Ltd, Suzhou 215153, Jiangsu, Peoples R China
[3] China Informat Consulting & Designing Inst Co Ltd, Inst ICT Technol, Nanjing 210019, Jiangsu, Peoples R China
[4] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源：
OPTICS EXPRESS | 2022年 / 30卷 / 24期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
SYSTEM;
D O I：
10.1364/OE.472978
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In order to realize the green computing of the edge-cloud fiber-wireless networks, the cooperation between the edge servers and the cloud servers is particularly important to reduce the network energy consumption. Therefore, this paper proposes an energy-efficient workload allocation (EEWA) scheme to improve the energy efficiency by using the architecture of edge-cloud fiber-wireless networks. The feasibility of the proposed EEWA scheme was verified on our SDN testbed. We also do the simulation to obtain the optimal results for a given set of task requests. Simulation results show that our proposed EEWA scheme greatly reduces the blocking probability and the average energy consumption of task requests in edge-cloud fiber-wireless networks. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码：44186 / 44200
页数：15
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