Haibo Ge, Haodong Feng, lJiajun Geng, Wenhao He, Yu An, Xing Song
{"title":"Dynamic Service Migration Method Based on User Mobility","authors":"Haibo Ge, Haodong Feng, lJiajun Geng, Wenhao He, Yu An, Xing Song","doi":"10.1109/ICNLP58431.2023.00092","DOIUrl":null,"url":null,"abstract":"With the rapid development of 5th Generation Mobile Communication Technology (5G), mobile edge computing (MEC) has played an important role in improving user experience and reducing energy consumption and latency. Mobile edge computing will decentralize some of the computing and storage problems of the central cloud to the network edge, so that the data generated by terminal devices can be processed quickly, but how to ensure that users can obtain good performance when moving between different locations is a key issue. In order to solve this problem and reduce end-to-end delay and energy consumption, a service migration algorithm based on node residual energy hybrid migration strategy for mobile edge computing (HOS-RE) is proposed. The experimental results show that compared with other methods, this method can reduce the time of service migration and ensure the continuity of services.","PeriodicalId":53637,"journal":{"name":"Icon","volume":"39 1","pages":"481-485"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Icon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNLP58431.2023.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of 5th Generation Mobile Communication Technology (5G), mobile edge computing (MEC) has played an important role in improving user experience and reducing energy consumption and latency. Mobile edge computing will decentralize some of the computing and storage problems of the central cloud to the network edge, so that the data generated by terminal devices can be processed quickly, but how to ensure that users can obtain good performance when moving between different locations is a key issue. In order to solve this problem and reduce end-to-end delay and energy consumption, a service migration algorithm based on node residual energy hybrid migration strategy for mobile edge computing (HOS-RE) is proposed. The experimental results show that compared with other methods, this method can reduce the time of service migration and ensure the continuity of services.