基于网络熵的域内节能路由方案
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  • 英文篇名:Intra-domain Energy Efficiency Routing Scheme Based on Network Entropy
  • 作者:张举 ; 耿海军 ; 刘洁琦
  • 英文作者:ZHANG Ju;GENG Hai-jun;LIU Jie-qi;School of Software Engineering,Shanxi University;State Key Laboratory of Networking and Switching Technology;
  • 关键词:网络熵 ; 网络能耗 ; 链路介数 ; 链路关键度 ; 路径拉伸度
  • 英文关键词:Network entropy;;Network energy;;Link betweenness;;Link criticality;;Path stretch
  • 中文刊名:JSJA
  • 英文刊名:Computer Science
  • 机构:山西大学软件学院;网络与交换技术国家重点实验室;
  • 出版日期:2019-02-15
  • 出版单位:计算机科学
  • 年:2019
  • 期:v.46
  • 基金:国家自然科学基金(61702315);; 网络与交换技术国家重点实验室(北京邮电大学)开放(SKLNST-2018-1-19)资助
  • 语种:中文;
  • 页:JSJA201902016
  • 页数:5
  • CN:02
  • ISSN:50-1075/TP
  • 分类号:85-89
摘要
减少网络能耗和建立绿色网络已经成为学术界和工业界研究的关键科学问题。已有的节能方案均在已知流量矩阵的前提下展开研究,但是获得实时流量数据并不容易。因此,文中研究了如何在未知流量矩阵的情况下降低网络能耗,提出了一种基于网络熵的域内节能路由方案(Intra-domain Energy Efficiency Routing Scheme Based on Network Entropy,EERSBNE),该方案通过关闭网络中的链路来实现节能的效果。首先提出了链路关键度模型和网络熵模型,然后根据链路关键度计算网络中所有链路的重要程度,最后根据链路的重要性和网络熵模型依次关闭网络中的链路。实验结果表明,该算法在降低网络能耗的同时不会引入较大的路径拉伸度。
        The reduction of network energy consumption and the building of green network have become key scientific problems in academic and industrial research.All the existing energy efficiency schemes carry out researches on the premise of knowing the traffic matrix,but it's not easy to get real-time traffic data.Therefore,this paper studied how to reduce the network energy consumption without knowing real-time traffic matrix,and presented an intra-domain energy efficiency routing scheme based on network entropy.This scheme achieves energy efficiency by turning off the links in network.Firstly,the link criticality model and the network entropy model are proposed.Then,the importance of all links in the network is calculated according to the link criticality.Finally,the links in the network are turned off in turn according to the importance of link and the network entropy model.The experimental results show that the proposed algorithm does not introduce larger path stretch when reducing the energy consumption of network.
引文
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