Contract theory based task offloading strategy of mobile edge computin

被引：0
|
作者：
Lyu L.-L. [1 ]
Yang Z.-P. [1 ]
Zhang L. [2 ]
机构：
[1] School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou
[2] School of Computer and Information Engineering, Henan University, Kaifeng
来源：
Kongzhi yu Juece/Control and Decision | 2019年 / 34卷 / 11期
关键词：
Contract theory; Full information; Mobile edge computing; Statistical information; Task offloading;
D O I：
10.13195/j.kzyjc.2019.0593
中图分类号：
学科分类号：
摘要：
Mobile edge computing (MEC) deploys edge servers to the side of wireless LAN and offloads some computing-intensive tasks to edge cloud servers, which can shorten the distance between computing services and mobile devices and reduce the cost of data transmission.This paper considers the problem of computing task offloading in the mobile edge computing environment. By exploring the heterogeneity of user experience sensitivity, a ternary combination model of the number of CPU cycles, data size and price is established, and a computing task allocation strategy based on contract theory is established to maximize the profit of cloud service providers and ensure the non-negative benefit of mobile users. The optimal contract design strategies for complete information scenarios and statistical information scenarios are discussed, respectively. Simulation results show that the proposed schemes can effectively realize the offloading of computing tasks. © 2019, Editorial Office of Control and Decision. All right reserved.
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页码：2366 / 2374
页数：8
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