Research on task migration strategy based on discrete binary particle swarm optimization in edge computing environment
文献类型：会议论文
| 作者 | Wang C(王晨)1,2,3; Wang TY(王天宇)1,3 ; Zeng, Zeng4; Yuan DC(袁德成)2; Jiang YH(蒋一恒)1,3
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| 出版日期 | 2021 |
| 会议日期 | October 22-24, 2021 |
| 会议地点 | Beijing, China |
| 关键词 | edge computing Particle swarm optimization algorithm Task migration |
| 页码 | 6439-6444 |
| 英文摘要 | In view of the increasing number of edge servers in edge computing environment, how to make each server give full play to its own performance and improve the efficiency of task migration has become the focus of edge computing research. In this paper, an optimized discrete binary particle swarm optimization (DBPSO) algorithm is proposed for task migration. By optimizing the inertia weight and learning factors, the binary particle swarm optimization algorithm is compared with the random task distribution, and the optimal solution of task migration is obtained. Through the simulation test in cloudsim, the optimized algorithm can migrate tasks more efficiently. The effectiveness is reflected in the time complexity and energy consumption of migration. |
| 产权排序 | 1 |
| 会议录 | Proceeding - 2021 China Automation Congress, CAC 2021
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-2647-3 |
| 源URL | [http://ir.sia.cn/handle/173321/30794]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Wang C(王晨) |
| 作者单位 | 1.Institutes for Robtics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.Shenyang University of Chemical Technology, College of information Engineering, Shenyang, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.State Grid Jiangsu Electric Power Co., Ltd., Information and Telecommunication Branch, NanJing, China |
| 推荐引用方式 GB/T 7714 | Wang C,Wang TY,Zeng, Zeng,et al. Research on task migration strategy based on discrete binary particle swarm optimization in edge computing environment[C]. 见:. Beijing, China. October 22-24, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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