{"title":"Distributed SDN controllers optimization for energy saving","authors":"Tadeu F. Oliveira, L. Silveira","doi":"10.1109/FMEC.2019.8795343","DOIUrl":null,"url":null,"abstract":"This paper presents a proposal for energy optimization on Software-Defined Network (SDN) by a proper controller placement. First, the discussion shows the definition of SDN and the role of controllers, then the current state-of-the-art on distributed SDN controllers is briefly discussed showing that current research on this topic focuses on fault-tolerance and load-balancing. Then the energy saving SDN strategies are presented and the problem of saving energy on the control-plane is given further details. A new approach based on parallelism and lower processor frequencies is demonstrated finally, the expected results and key contributions are defined.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMEC.2019.8795343","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
This paper presents a proposal for energy optimization on Software-Defined Network (SDN) by a proper controller placement. First, the discussion shows the definition of SDN and the role of controllers, then the current state-of-the-art on distributed SDN controllers is briefly discussed showing that current research on this topic focuses on fault-tolerance and load-balancing. Then the energy saving SDN strategies are presented and the problem of saving energy on the control-plane is given further details. A new approach based on parallelism and lower processor frequencies is demonstrated finally, the expected results and key contributions are defined.