{"title":"Minimization of energy consumption in IP/SDN hybrid networks using genetic algorithms","authors":"J. Galán-Jiménez","doi":"10.23919/SustainIT.2017.8379802","DOIUrl":null,"url":null,"abstract":"Although most of the efforts to tackle the energy consumption problem on wired communication networks have been made on traditional IP networks, energy-aware protocols require of several coordination tasks that are not easy to implement on current networking equipment. By exploiting the flexibility and programmability provided by the emerging Software-Defined Networking (SDN) paradigm, this paper investigates the problem of saving energy in hybrid IP/SDN networks where traditional IP nodes are incrementally replaced by SDN ones. To solve it, a Genetic Algorithm is proposed and evaluated through simulations over realistic network topologies. Results show that a reduced percentage such as 60% of SDN nodes would be enough to achieve significant reductions in energy consumption during the transition from IP to SDN, with a performance gap less than 7.5% compared to fully-deployed SDN networks.","PeriodicalId":232464,"journal":{"name":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Sustainable Internet and ICT for Sustainability (SustainIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SustainIT.2017.8379802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Although most of the efforts to tackle the energy consumption problem on wired communication networks have been made on traditional IP networks, energy-aware protocols require of several coordination tasks that are not easy to implement on current networking equipment. By exploiting the flexibility and programmability provided by the emerging Software-Defined Networking (SDN) paradigm, this paper investigates the problem of saving energy in hybrid IP/SDN networks where traditional IP nodes are incrementally replaced by SDN ones. To solve it, a Genetic Algorithm is proposed and evaluated through simulations over realistic network topologies. Results show that a reduced percentage such as 60% of SDN nodes would be enough to achieve significant reductions in energy consumption during the transition from IP to SDN, with a performance gap less than 7.5% compared to fully-deployed SDN networks.