{"title":"Leveraging network virtualization for energy-efficient cloud: Future directions","authors":"Fatoumata B. Kasse, B. Gueye, H. Elbiaze","doi":"10.1109/LCN.2014.6925825","DOIUrl":null,"url":null,"abstract":"Reducing the energy consumed in cloud computing is becoming one of the most challenging research directions due to the overwhelming growth of services that are hosted and delivered by cloud computing. Indeed, the energy consumed by data transport represents a significant percentage according to the overall consumption of the cloud. Hence, by exploiting network and router virtualization technologies, we firstly propose a Green Cloud Architecture (GCA), where we can either shut down, or make in sleeping mode virtual routers; or migrate virtual routers towards another physical router according to energy-awareness. Secondly, we evaluate our green cloud architecture by proposing an energy-aware resource allocation algorithm. The mapping algorithm is evaluated through simulations and our green architecture significantly reduces the power consumption during data transport by up to 41%.","PeriodicalId":143262,"journal":{"name":"39th Annual IEEE Conference on Local Computer Networks","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"39th Annual IEEE Conference on Local Computer Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2014.6925825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Reducing the energy consumed in cloud computing is becoming one of the most challenging research directions due to the overwhelming growth of services that are hosted and delivered by cloud computing. Indeed, the energy consumed by data transport represents a significant percentage according to the overall consumption of the cloud. Hence, by exploiting network and router virtualization technologies, we firstly propose a Green Cloud Architecture (GCA), where we can either shut down, or make in sleeping mode virtual routers; or migrate virtual routers towards another physical router according to energy-awareness. Secondly, we evaluate our green cloud architecture by proposing an energy-aware resource allocation algorithm. The mapping algorithm is evaluated through simulations and our green architecture significantly reduces the power consumption during data transport by up to 41%.
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