Paper Info
Title
An offloading method using decentralized P2P-enabled mobile edge servers in edge computing.
Abstract
Edge computing has emerged as a promising infrastructure for providing elastic resources in the proximity of mobile users. Owing to resource limitations in mobile devices, offloading several computational tasks from mobile devices to mobile edge servers is the main means of improving the quality of experience of mobile users. In fact, because of the high speeds of moving vehicles on expressways, there would be numerous candidate mobile edge servers available for them to offload their computational workload. However, the selection of the mobile edge server to be utilized and how much computation should be offloaded to meet the corresponding task deadlines without large computing bills are topics that have not been discussed much. Furthermore, with the increasing deployment of mobile edge servers, their centralized management would cause certain performance issues. In order to address these challenges, we firstly apply peer-to-peer networks to manage geo-distributed mobile edge servers. Secondly, we propose a new deadline-aware and cost-effective offloading approach, which aims to improve the offloading efficiency for vehicles and allows additional tasks to meet their deadlines. The proposed approach was validated for its feasibility and efficiency by means of extensive experiments, which are presented in this paper.
Year
DOI
Venue
2019
10.1016/j.sysarc.2019.02.001
Journal of Systems Architecture
Keywords
Field
DocType
Edge computing,Computation offloading,Decentralization,Deadline,Cost-effectiveness
Edge computing,Software deployment,Workload,Computer science,Server,Computer network,Real-time computing,Mobile device,Quality of experience,Edge server,Computation
Journal
Volume
ISSN
Citations 
94
1383-7621
5
PageRank 
References 
Authors
0.42
0
6
Name
Order
Citations
PageRank
Wenda Tang162.11
xuan zhao22413.46
Wajid Rafique3266.39
Qi Lianyong48012.65
Wanchun Dou587896.01
Qiang Ni625927.49