{"title":"A resource allocation method based on the core server in the collaborative space for mobile edge computing","authors":"Yiran Yang, Yi Wang, Ren-gang Wang, Shiqiang Chu","doi":"10.1109/ICCCHINA.2018.8641218","DOIUrl":null,"url":null,"abstract":"Mobile edge computing (MEC) allows mobile devices to offload computing tasks to nearby base stations or wireless access points, and empowers users to have more resources in the new-generation mobile communications. However, with the limited storage and computing capacity of MEC servers, the rather complex resource allocation among multiple servers brings many problems such as transmission delay and low reliability. In this paper, we propose a resource allocation method in a collaborative space, which sets a MEC server as the core server to store and provide the most prevalent resources to other servers. According to the actual application with MEC, a goal optimization of transmission delay is given. Simulation results show that the proposed method can decrease the transmission delay compared with traditional method.","PeriodicalId":170216,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCHINA.2018.8641218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Mobile edge computing (MEC) allows mobile devices to offload computing tasks to nearby base stations or wireless access points, and empowers users to have more resources in the new-generation mobile communications. However, with the limited storage and computing capacity of MEC servers, the rather complex resource allocation among multiple servers brings many problems such as transmission delay and low reliability. In this paper, we propose a resource allocation method in a collaborative space, which sets a MEC server as the core server to store and provide the most prevalent resources to other servers. According to the actual application with MEC, a goal optimization of transmission delay is given. Simulation results show that the proposed method can decrease the transmission delay compared with traditional method.