JIPS (한국정보처리학회)
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| 한글제목(Korean Title) |
Strategy for Task Offloading of Multi-user and Multi-server Based on Cost Optimization in Mobile Edge Computing Environment |
| 영문제목(English Title) |
Strategy for Task Offloading of Multi-user and Multi-server Based on Cost Optimization in Mobile Edge Computing Environment |
| 저자(Author) |
Yanfei He
Zhenhua Tang
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| 원문수록처(Citation) |
VOL 17 NO. 03 PP. 0615 ~ 0629 (2021. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
With the development of mobile edge computing, how to utilize the computing power of edge computing to effectively and efficiently offload data and to compute offloading is of great research value. This paper studies the computation offloading problem of multi-user and multi-server in mobile edge computing. Firstly, in order to minimize system energy consumption, the problem is modeled by considering the joint optimization of the offloading strategy and the wireless and computing resource allocation in a multi-user and multi-server scenario. Additionally, this paper explores the computation offloading scheme to optimize the overall cost. As the centralized optimization method is an NP problem, the game method is used to achieve effective computation offloading in a distributed manner. The decision problem of distributed computation offloading between the mobile equipment is modeled as a multi-user computation offloading game. There is a Nash equilibrium in this game, and it can be achieved by a limited number of iterations. Then, we propose a distributed computation offloading algorithm, which first calculates offloading weights, and then distributedly iterates by the time slot to update the computation offloading decision. Finally, the algorithm is verified by simulation experiments. Simulation results show that our proposed algorithm can achieve the balance by a limited number of iterations. At the same time, the algorithm outperforms several other advanced computation offloading algorithms in terms of the number of users and overall overheads for beneficial decision-making. |
| 키워드(Keyword) |
Cost Optimization
Distributed Computing
Game Theory
Mobile Edge Computing
Multi MEC Servers
Nash Equilibrium
Task Offloading
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| 파일첨부 |
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