Migration node selection strategy based on gray prediction algorithm in trusted environment
文献类型：会议论文
| 作者 | Wang C(王晨)1,2,3; Zhang BW(张博文)1,2,3; Chen X(陈鑫)1,2,3 |
| 出版日期 | 2022 |
| 会议日期 | January 14-16, 2022 |
| 会议地点 | Guangzhou, China |
| 关键词 | gray prediction task migration trusted security model |
| 页码 | 931-936 |
| 英文摘要 | This paper studies the selection strategy of task migration nodes. Considering the security of nodes, this paper analyzes the trusted security model of each node of migration candidates. Security credibility includes three aspects: time credibility, behavior credibility and resource credibility. By calculating the trusted values of migration nodes in these three aspects, Three nodes with the lowest trust value are obtained to preliminarily screen the migration nodes, and the final nodes are determined in the remaining nodes. Because the gray prediction algorithm requires a small number of original data models and has a strong discrete type, it is more suitable for the model selected by the task migration nodes. This paper uses the gray prediction algorithm to finally determine the migration nodes, In the experiment, the cloud simulation platform is used to compare the algorithm and random algorithm, and the results show the effectiveness of the algorithm. |
| 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/173321/30750]  |
| 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.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 |
| 推荐引用方式 GB/T 7714 | Wang C,Zhang BW,Chen X. Migration node selection strategy based on gray prediction algorithm in trusted environment[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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