Security and energy aware scheduling for service workflow in mobile edge computing

被引：0
|
作者：
Li W. [1 ]
Liu H. [1 ]
Li Z. [1 ]
Yuan Y. [1 ]
机构：
[1] College of Computer and Technology, Hangzhou Dianzi University, Hangzhou
来源：
Li, Zhongjin (lizhongjin@hdu.edu.cn) | 1831年 / CIMS卷 / 26期
基金：
中国国家自然科学基金;
关键词：
Mobile edge computing; Particle swarm optimization algorithm; Security model; Workflow scheduling;
D O I：
10.13196/j.cims.2020.07.012
中图分类号：
学科分类号：
摘要：
In the Mobile Edge Computing (MEC) environment, users migrate application tasks to MEC for execution to effectively reduce delay and reduce energy consumption. However, the MEC still faces data security problems, and the potential malicious attacks can result in the loss or disclosure of private data. On this basis, a Security and Energy Aware (SEA) scheduling for service workflow was proposed in MEC environment, which could minimize the energy consumption of mobile devices under the risk rate and deadline constraints of mobile applications. Based on Particle Swarm Optimization (PSO) algorithm, SEA algorithm considered the scheduling position, confidentiality service and integrity service of the tasks. In addition, a new security model was constructed, which included the relationship among data volume, multi-core CPU, computing frequency and security overhead. Simulation experiments demonstrated the feasibility and effectiveness of the proposed algorithm. © 2020, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：1831 / 1842
页数：11
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