K. Tanabe, Hiroki Nakayama, Tsunemasa Hayashi, K. Yamaoka
{"title":"A study on resource granularity of vEPC optimal resource assignment","authors":"K. Tanabe, Hiroki Nakayama, Tsunemasa Hayashi, K. Yamaoka","doi":"10.1109/IWQoS.2017.7969176","DOIUrl":null,"url":null,"abstract":"In this paper, we study a resource granularity effect on the optimal resource assignment of MME and S/P-GW in a single vEPC server. We distinguished communications of M2M devices and smartphones and modeled the vEPC server by using queueing theory. Numerical analysis under a fixed number of hardware resources of MME and S/P-GW is done for various resource granularities of the vEPC server. The evaluation results of numerical analysis showed that the vEPC-ORA method derives the optimal resource assignment in a practical calculation time.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWQoS.2017.7969176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we study a resource granularity effect on the optimal resource assignment of MME and S/P-GW in a single vEPC server. We distinguished communications of M2M devices and smartphones and modeled the vEPC server by using queueing theory. Numerical analysis under a fixed number of hardware resources of MME and S/P-GW is done for various resource granularities of the vEPC server. The evaluation results of numerical analysis showed that the vEPC-ORA method derives the optimal resource assignment in a practical calculation time.