Research on cloud-side collaborative task migration strategy based on simulated annealing-Bee Colony Algorithm in Power IoT

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	Research on cloud-side collaborative task migration strategy based on simulated annealing-Bee Colony Algorithm in Power IoT
	Zhang BW(张博文)1,2,3; Zeng, Zeng 4; Miao, Weiwei 4
	2022
会议日期	January 14-16, 2022
会议地点	Guangzhou, China
关键词	Bee Colony Algorithm cloud-side collaboration power IoT task migration
页码	804-808
英文摘要	In the power IoT, in order to make up for the shortcomings of insufficient computing capabilities of edge-side devices, cloud-side collaboration technology has attracted more and more attention. The cloud-side collaboration technology relies on the selection of task migration strategies. However, when the existing migration strategies face the complex edge-side terminal devices in the power IoT, the energy consumption and delay performance are not good enough, which greatly affects the user's power experience. Therefore, it is very valuable to study a cloud-side collaborative task migration strategy under the power IoT environment. This paper proposes a task migration strategy based on simulated annealing-Bee Colony Algorithm in the environment of power IoT, which can solve the problem of task migration. Experimental results show that compared with the existing popular methods, this method has advantages in terms of energy consumption and time delay. This research can meet the real-time requirements of the power IoT, while reducing energy consumption and improving the user's power experience, thereby promoting the further development of the power IoT.
源文献作者	IEEE
产权排序	1
会议录	2022 2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-6654-0886-8
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/30752]
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	Zhang BW(张博文)
作者单位	1.Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China 2.Chinese Academy of Sciences, Key Laboratory of Networked Control Systems, Shenyang, China 3.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China 4.State Grid Jiangsu Electric Power Co. Ltd., Information Telecommunication Branch, Nanjing, China
推荐引用方式 GB/T 7714	Zhang BW,Zeng, Zeng,Miao, Weiwei. Research on cloud-side collaborative task migration strategy based on simulated annealing-Bee Colony Algorithm in Power IoT[C]. 见:. Guangzhou, China. January 14-16, 2022.