Open AccessResource allocation for edge computing over fibre‐wireless access networks
Author(s) -
Wang Qingtian,
Shou Guochu,
Liu Jing,
Liu Yaqiong,
Hu Yihong,
Guo Zhigang
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0101
Subject(s) - computer science , computer network , server , wireless network , wireless , bandwidth (computing) , resource allocation , bandwidth allocation , distributed computing , mobile edge computing , network virtualization , virtualization , cloud computing , telecommunications , operating system
Edge Computing (EC) has been proposed as a promising approach to fulfil the requirements of high bandwidth and ultra‐latency of mobile applications. However, existing researches on resource allocation only consider the computing resource of mobile devices and EC servers, while ignored the constraint of the networking resources once spreading applications among multiple EC servers via wireless and wired networks. Fibre‐Wireless access networks (FiWi) combine the huge bandwidth of optical fibre networks and flexible access of wireless networks to address the above issue and bridge the coexistence of multiple EC servers. They propose a Virtualisation‐based Architecture converging EC over FiWi (VAECFW) to centralise control and allocate networking and computing resources for serving requested services. In addition, they study the problem of resource allocation of EC over FiWi and propose two algorithms Revenue‐based Virtual Network Embedding (R‐VNE) and Balanced Central Processing Unit Resource Allocation with Virtual Network Embedding (BCRA‐VNE). Simulation experiments show that the services acceptance ratio is increased about 35% under their proposed architecture, and the average service requests bandwidth utilisation of R‐VNE is increasing from 50 to 66%, and the BCRA‐VNE is from 37 to 48%. The two algorithms not only achieve higher revenue but also get better profit rate.