Energy-Aware Traffic Routing with Named Data Networking  

作　　者：Song Yunlong Liu Min 

机构地区：[1]Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China [2]Graduate University of Chinese Academy of Sciences, Beijing 100190, P. R. China

出　　处：《China Communications》2012年第6期71-81,共11页中国通信（英文版）

基　　金：This work was supported by the National Key Basic Re- search Program of China under Grant No. 2011 CB302702; the National Natural Science Foundation of China under Grants No. 61132001, No. 61120106008, No. 61070187, No. 60970133, No. 61003225; the Beijing Nova Program.

摘　　要：Greening Internet is an important issue now, which studies the way to reduce the increas- ing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate a- daption, and also predict traffic matrices to pre- serve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to fred its so- lution from a novel architecture called Named Data Networking （NDN） which tent in edge routers and can flexibly cache con- decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider green- ing idea in the design of future Internet.Greening Internet is an important issue now, which studies the way to reduce the increasing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate adaption, and also predict traffic matrices to preserve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to find its solution from a novel architecture called Named Data Networking (NDN) which can flexibly cache content in edge routers and decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider greening idea in the design of future Internet.

关 键 词：Greening Internet energy-aware traf-fic routing Named Data Networking traffic matri-ces prediction link stability 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN915.05[自动化与计算机技术—控制科学与工程]