{"title":"Brief Review on Computing Resource Allocation Algorithms in Mobile Edge Computing","authors":"Ning Lyu","doi":"10.1109/CDS52072.2021.00025","DOIUrl":null,"url":null,"abstract":"Over the past few years, the Internet has greatly developed. And due to the expansion of its application range, huge amount of data will be generated in our daily life. In order to be able to process large-scale data quickly, the concept of Mobile Edge Computing (MEC) was proposed. Mobile Edge Computing refers to dealing with data at the edge of the network. In this way, MEC can reduce response time, extend battery life and shorten bandwidth. This article focuses on the problems of computing resource allocation in MEC. This article summarizes the existing related research from the perspective of single node and multiple nodes, and analyzes the advantages and disadvantages of methods used in existing research to reduce time delay and energy consumption. Finally, it reviews how existing methods solve the problems of latency and energy consumption in practical scenarios.","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computing and Data Science (CDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDS52072.2021.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Over the past few years, the Internet has greatly developed. And due to the expansion of its application range, huge amount of data will be generated in our daily life. In order to be able to process large-scale data quickly, the concept of Mobile Edge Computing (MEC) was proposed. Mobile Edge Computing refers to dealing with data at the edge of the network. In this way, MEC can reduce response time, extend battery life and shorten bandwidth. This article focuses on the problems of computing resource allocation in MEC. This article summarizes the existing related research from the perspective of single node and multiple nodes, and analyzes the advantages and disadvantages of methods used in existing research to reduce time delay and energy consumption. Finally, it reviews how existing methods solve the problems of latency and energy consumption in practical scenarios.