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An Offloading Scheme Leveraging on Neighboring Node Resources for Edge Computing over Fiber-Wireless (FiWi) Access Networks

An Offloading Scheme Leveraging on Neighboring Node Resources for Edge Computing over Fiber-Wireless (FiWi) Access Networks

作     者:Wei Chang Yihong Hu Guochu Shou Yaqiong Liu Zhigang Guo 

作者机构:Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications 

出 版 物:《China Communications》 (中国通信(英文版))

年 卷 期:2019年第16卷第11期

页      面:107-119页

核心收录:

学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 

基  金:supported by National Natural Science Foundation of China(Grant No.61471053,61901052) Fundamental Research Funds for the Central Universities(Grant 2018RC03) Beijing Laboratory of Advanced Information Networks 

主  题:edge computing offloading Fiber-wireless access networks delay 

摘      要:The computation resources at a single node in Edge Computing(EC)are commonly limited,which cannot execute large scale computation *** face the challenge,an Offloading scheme leveraging on NEighboring node Resources(ONER)for EC over Fiber-Wireless(FiWi)access networks is proposed in this *** the ONER scheme,the FiWi network connects edge computing nodes with fiber and converges wireless and fiber connections seamlessly,so that it can support the offloading transmission with low delay and wide *** on the ONER scheme supported by FiWi networks,computation tasks can be offloaded to edge computing nodes in a wider range of area without increasing wireless hops(e.g.,just one wireless hop),which achieves low ***,an efficient Computation Resource Scheduling(CRS)algorithm based on the ONER scheme is also proposed to make offloading *** results show that more offloading requests can be satisfied and the average completion time of computation tasks decreases significantly with the ONER scheme and the CRS ***,the ONER scheme and the CRS algorithm can schedule computation resources at neighboring edge computing nodes for offloading to meet the challenge of large scale computation tasks.

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