{"title":"Dynamic energy management employing renewable energy sources in IP over DWDM networks","authors":"Xin Chen, C. Phillips, Jiayuan Wang, S. Ruepp","doi":"10.1109/OnlineGreenCom.2013.6731031","DOIUrl":null,"url":null,"abstract":"The continued growth of energy consumption has been one of the main constraints for the development of the Internet. The increasing emissions of greenhouse gases associated with electricity generation also raise public concern for the environment. In this paper, we propose a dynamic energy management framework employing renewable energy sources in IP over DWDM core networks. The main concept is to combine infrastructure sleeping and virtual router migration to improve the network energy efficiency. By using the energy source information provided by the smart grid, the nodes that are powered by a renewable energy source are selected, where possible, for hosting virtual routers during off-peak hours. Therefore, the energy consumption and CO2 emissions are both reduced. A heuristic algorithm based on a multi-objective evolutionary algorithm is proposed to select appropriate physical platforms to host the virtual routers.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OnlineGreenCom.2013.6731031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The continued growth of energy consumption has been one of the main constraints for the development of the Internet. The increasing emissions of greenhouse gases associated with electricity generation also raise public concern for the environment. In this paper, we propose a dynamic energy management framework employing renewable energy sources in IP over DWDM core networks. The main concept is to combine infrastructure sleeping and virtual router migration to improve the network energy efficiency. By using the energy source information provided by the smart grid, the nodes that are powered by a renewable energy source are selected, where possible, for hosting virtual routers during off-peak hours. Therefore, the energy consumption and CO2 emissions are both reduced. A heuristic algorithm based on a multi-objective evolutionary algorithm is proposed to select appropriate physical platforms to host the virtual routers.
能源消费的持续增长已经成为制约互联网发展的主要因素之一。与发电相关的温室气体排放量的增加也引起了公众对环境的关注。在本文中,我们提出了一个动态的能源管理框架,利用可再生能源的IP over DWDM核心网。其主要概念是将基础设施休眠和虚拟路由器迁移相结合,以提高网络能源效率。通过使用智能电网提供的能源信息,选择由可再生能源供电的节点,在可能的情况下,在非高峰时段托管虚拟路由器。因此,能源消耗和二氧化碳排放都减少了。提出了一种基于多目标进化算法的启发式算法来选择合适的物理平台作为虚拟路由器的主机。