{"title":"Traffic concentration for a green Internet","authors":"Xuezhou Ma, K. Harfoush","doi":"10.1109/HONET.2012.6421451","DOIUrl":null,"url":null,"abstract":"Cooling equipment accounts for a sizable fraction of Internet energy footprint. Existing network design models, that assume a linear router power spectrum, are mislead by ignoring the impact of cooling consumption. In this paper, we make a case that the overall energy consumed by a router is polynomial to traffic demand and increases rapidly when the router is loaded. An energy-smart network design is thus formulated to mostly spread out traffic evenly among routers across the network. We further propose a heuristic and compare our design with popular traffic concentration model on two published backbone networks: NSFNET and AT&T. The simulation results reveal that our design saves at least 25% of the consumed energy, and the proposed heuristic closely matches the optimal results. Thus, mitigating network bottleneck routers, rather than creating ones, leads to a greener Internet backbone network. Our conclusions challenge the common wisdom about existing energy saving protocols.","PeriodicalId":334187,"journal":{"name":"High Capacity Optical Networks and Emerging/Enabling Technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"High Capacity Optical Networks and Emerging/Enabling Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HONET.2012.6421451","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
Cooling equipment accounts for a sizable fraction of Internet energy footprint. Existing network design models, that assume a linear router power spectrum, are mislead by ignoring the impact of cooling consumption. In this paper, we make a case that the overall energy consumed by a router is polynomial to traffic demand and increases rapidly when the router is loaded. An energy-smart network design is thus formulated to mostly spread out traffic evenly among routers across the network. We further propose a heuristic and compare our design with popular traffic concentration model on two published backbone networks: NSFNET and AT&T. The simulation results reveal that our design saves at least 25% of the consumed energy, and the proposed heuristic closely matches the optimal results. Thus, mitigating network bottleneck routers, rather than creating ones, leads to a greener Internet backbone network. Our conclusions challenge the common wisdom about existing energy saving protocols.