Research on intelligent computing offloading model based on reputation value in mobile edge computing

被引：0
|
作者：
Qi J. [1 ]
Sun H. [2 ]
Gong K. [3 ]
Xu B. [1 ]
Zhang S. [1 ]
Sun Y. [1 ]
机构：
[1] Internet of Things School, Nanjing University of Posts and Telecommunications, Nanjing
[2] College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing
[3] Computer School, Nanjing University of Posts and Telecommunications, Nanjing
来源：
Tongxin Xuebao/Journal on Communications | 2020年 / 41卷 / 07期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Game allocation; Mobile edge computing; Offloading decision; Reputation value; Resource allocation;
D O I：
10.11959/j.issn.1000-436x.2020105
中图分类号：
学科分类号：
摘要：
Aiming at the problem of high-latency, high-energy-consumption, and low-reliability mobile caused by computing-intensive and delay-sensitive emerging mobile applications in the explosive growth of IoT smart mobile terminals in the mobile edge computing environment, an offload decision-making model where delay and energy consumption were comprehensively included, and a computing resource game allocation model based on reputation that took into account was proposed, then improved particle swarm algorithm and the method of Lagrange multipliers were used respectively to solve models. Simulation results show that the proposed method can meet the service requirements of emerging intelligent applications for low latency, low energy consumption and high reliability, and effectively implement the overall optimized allocation of computing offload resources. © 2020, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码：141 / 151
页数：10
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