{"title":"Optimization method of edge computing terminal deployment considering node division in Electric Internet of Things","authors":"Lin Jiang, Wenhui Li, B. Fu, Lin Bai","doi":"10.1145/3559795.3559811","DOIUrl":null,"url":null,"abstract":"The massive intelligent devices emerging in the Electric Internet of Things have increased demand for computing resources, but it is difficult to configure computing devices for each data point in the actual system. When using edge computing terminal to solve the above problems, the terminal faces the problem of which data points should be controlled by the terminal and where the terminal should be deployed. This paper proposes an optimization method for the deployment of edge computing terminals considering node division in the Electric Internet of Things, aiming at minimizing the delay when processing tasks. Firstly, the information processing architecture based on the cooperation of multiple edge computing terminals is described, and the logical relationship of task processing is fully considered. Secondly, the optimization model of edge computing terminal deployment and its solution are proposed. Finally, the effectiveness and feasibility of the proposed model and method are verified by numerical simulation.","PeriodicalId":190093,"journal":{"name":"Proceedings of the 2022 4th Blockchain and Internet of Things Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 4th Blockchain and Internet of Things Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3559795.3559811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The massive intelligent devices emerging in the Electric Internet of Things have increased demand for computing resources, but it is difficult to configure computing devices for each data point in the actual system. When using edge computing terminal to solve the above problems, the terminal faces the problem of which data points should be controlled by the terminal and where the terminal should be deployed. This paper proposes an optimization method for the deployment of edge computing terminals considering node division in the Electric Internet of Things, aiming at minimizing the delay when processing tasks. Firstly, the information processing architecture based on the cooperation of multiple edge computing terminals is described, and the logical relationship of task processing is fully considered. Secondly, the optimization model of edge computing terminal deployment and its solution are proposed. Finally, the effectiveness and feasibility of the proposed model and method are verified by numerical simulation.