{"title":"Task Pre-migration Strategy in Mobile Edge Computing Environment","authors":"Zhang Zhihao, Ju Shuangshuang, S. Wei","doi":"10.1109/TOCS53301.2021.9688893","DOIUrl":null,"url":null,"abstract":"In the mobile edge computing environment, the requirements for low latency are relatively urgent, especially for high data volume computational migration, such as driverless system, real-time monitoring. When the user leaves the edge server coverage, data interruption occurs, and the user needs to re-upload the data to the server for calculation, which leads to extended time of the edge server service and increased power consumption of the mobile device. To solve this problem, this paper proposes a data pre-migration mechanism between servers in the mobile edge computing environment, which pre-puts user-related data to the edge server in the user’s moving direction. When the task is interrupted, the user does not need to re-upload data. The seamless connection of tasks can effectively reduce server service time and reduce device power consumption.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS53301.2021.9688893","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
In the mobile edge computing environment, the requirements for low latency are relatively urgent, especially for high data volume computational migration, such as driverless system, real-time monitoring. When the user leaves the edge server coverage, data interruption occurs, and the user needs to re-upload the data to the server for calculation, which leads to extended time of the edge server service and increased power consumption of the mobile device. To solve this problem, this paper proposes a data pre-migration mechanism between servers in the mobile edge computing environment, which pre-puts user-related data to the edge server in the user’s moving direction. When the task is interrupted, the user does not need to re-upload data. The seamless connection of tasks can effectively reduce server service time and reduce device power consumption.