Research on cloud-side collaborative task migration strategy based on simulated annealing-Bee Colony Algorithm in Power IoT
文献类型：会议论文
| 作者 | Zhang BW(张博文)1,3,4; Zeng, Zeng2; Miao, Weiwei2 |
| 出版日期 | 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 |
| 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, Key Laboratory of Networked Control Systems, Shenyang, China 2.State Grid Jiangsu Electric Power Co. Ltd., Information Telecommunication Branch, Nanjing, China 3.Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China 4.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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