Distributed Computation Offloading in Resource limited Fog Computing
Hongbin Zhu1; Zhenghang Zhu2; Xiliang Luo1; Hua Qian2
2019-09
Source PublicationPROCEEDINGS OF THE 2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE
ISSN1090-3038
Pages1-5
Status已发表
DOINA
Abstract

Fog computing is a promising architectural to alleviate
increasingly intensive transmission over the network.
In addition to the data transmission capability, a fog node
(FN) also has spare resources of data storage and computing.
In this paper, we study the computation offloading scenario
that takes advantage of fog architecture and utilizes the FN
resources. A social welfare maximization problem is formulated
to distribute the data among FNs based on the trade-off between
the considered computational cost and communication cost. A
distributed adaptation algorithm is developed based on a Jacobi-
Proximal alternating direction method of multipliers (ADMM)
algorithm. The computational burden for solving the optimization
problem is fully distributed to FNs, software defined network
(SDN) controller, where local variables of FNs are updated in
parallel. Performance of the proposed algorithm is validated with
simulation results.

KeywordFog computing alternating direction method of multipliers ADMM
Conference NameThe 2019 IEEE 90th Vehicular Technology Conference
Conference PlaceHonolulu, Hawaii, USA
Conference Date22 Sept. - 25 Sept, 2019
URL查看原文
Indexed ByEI
Language英语
EI KeywordsDigital storage ; Economic and social effects ; Fog
Original Document TypeConferences
Document Type会议论文
Identifierhttps://kms.shanghaitech.edu.cn/handle/2MSLDSTB/50031
Collection信息科学与技术学院_PI研究组_罗喜良组
信息科学与技术学院_博士生
Affiliation1.ShanghaiTech University
2.Shanghai Advanced Research Institute, CAS
First Author AffilicationShanghaiTech University
First Signature AffilicationShanghaiTech University
Recommended Citation
GB/T 7714
Hongbin Zhu,Zhenghang Zhu,Xiliang Luo,et al. Distributed Computation Offloading in Resource limited Fog Computing[C],2019:1-5.
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