Service Selection for Composition in Mobile Edge Computing Systems

被引：31
|
作者：
Wu, Hongyue [1 ,2 ]
Deng, Shuiguang [1 ]
Li, Wei [2 ]
Fu, Min [3 ,4 ]
Yin, Jianwei [1 ]
Zomaya, Albert Y. [2 ]
机构：
[1] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China
[2] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia
[3] Alibaba Grp, Hangzhou, Zhejiang, Peoples R China
[4] Macquarie Univ, Dept Comp, Sydney, NSW, Australia
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (IEEE ICWS 2018) | 2018年
基金：
美国国家科学基金会;
关键词：
service selection; mobile edge computing; response time; composition; LOCATION PREDICTION;
D O I：
10.1109/ICWS.2018.00060
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.
引用
收藏
页码：355 / 358
页数：4
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