期刊文献+

基于节点度序列的软件定义网络节能算法 被引量:3

Software defined network energy efficient algorithm based on degree sequence of nodes
下载PDF
导出
摘要 软件定义网络(Software Defined Network,SDN)在快速发展中面临许多新挑战,其中网络能耗问题尤为突出.学者们针对网络能耗问题提出了众多减少网络能耗的节能方案,但当前已有的方案存在需要实时流量数据,不易部署,连通性能失衡等问题.因此,提出一种基于节点度序列的SDN网络节能算法(Software Defined Network Energy Efficient Algorithm based on degree sequence of nodes,SDNEEA).该方法利用SDN网络拓扑的节点度序列选择休眠链路实现网络节能,同时通过代数连通度解决网络节能与网络连通性失衡问题,仅需网络拓扑图论参数,无需网络实时流量数据矩阵.通过实验结果表明,SDNEEA算法无需复杂的计算代价,可实现在NSFNet均值为36.7%、Abilene均值为33.1%的节能率,且节能网络连通性得到保证,为部署SDN绿色节能网络提供一种新的方案. With the rapid development,Software defined network(SDN)is facing lots of new challenges,in which the problem of energy consumption is particularly prominent.Scholars have put many solutions to save energy consumption.However,most of the existing solutions have some shortages such as needing real-time traffic data,not easy to deploy,the Network connectivity dislocation.etc;so,An Software Defined Network Energy Efficient Algorithm based on degree sequence of nodes is proposed.This method uses the node degree sequence of SDN network topology to select dormant link for saving energy,which relies on network topology,without traffic data.At the same time,the algorithm have threshold value of algebraic connectivity during operation.It can get better energy-saving and against the decline of connectivity network without complex calculation.The experiment results show that the SDNEEA algorithm can actualize 36.7%energy saving in NSFNET and 33.1%in Abilene without complicated calculation cost,and keep Network connectivity,which provides an efficient solution for energy saving of SDN network deployment.
作者 张梅琼 ZHANG Meiqiong(Concord University CollegeFujian Normal University,Fuzhou 350117,Fujian,China)
出处 《微电子学与计算机》 2021年第10期65-72,共8页 Microelectronics & Computer
基金 福建省教育厅中青年教师教育科研项目(科技类)JAT191129。
关键词 代数连通度 节点度序列 节能 软件定义网络(SDN) Algebraic connectivity Node Degree Sequence energy saving Software defined network(SDN)
  • 相关文献

参考文献7

二级参考文献146

  • 1Chen YanDept.of Math.,Zhejiang Education Institute,Hangzhou 310012,China..PROPERTIES OF SPECTRA OF GRAPHS AND LINE GRAPHS[J].Applied Mathematics(A Journal of Chinese Universities),2002,17(3):371-376. 被引量:9
  • 2姚奇富,李翠凤,马华林,张森.灰色系统理论和马尔柯夫链相结合的网络流量预测方法[J].浙江大学学报(理学版),2007,34(4):396-400. 被引量:44
  • 3Cisco.Cisco Visual Networking Index:Forecast and Methodology,2013-2018.2013.
  • 4Stanford University.Clean slate program.2006.http://cleanslate.stanford.edu/.
  • 5McKeown N.Software-Defined metworking.In:Proc.of the INFOCOM Key Note.2009.http://infocom2009.ieee-infocom.org/ technicalProgram.htm.
  • 6McKeown N,Anderson T,Balakrishnan H,Parulkar G,Peterson L,Rexford J,Shenker S,Turner J.OpenFlow:Enabling innovation in campus networks.ACM SIGCOMM CCR,2008,38(2):69-74.[doi:10.1145/1355734.1355746].
  • 7MIT Technology Review.10 breakthrough technologies,TRIO:Software-defined networking.2009.http://www2.technology review.com/article/412194/trl0-software-defined-networking/.
  • 8Jain R.Internet 3.0:Ten problems with current Internet architecture and solutions for the next generation.In:Proc.of the IEEE MILCOM.2006.1-9.[doi:10.1109/MILCQM.2006.301995].
  • 9Nunes BAA,Mendonca M,Nguyen XN,Obraczka K,Turletti T.A survey of software-defined networking:Past,present,and future of programmable networks.IEEE Communications Surveys and Tutorials,2014,16(3):1617-1634.[doi:10.1109/SURV.2014.012214.00180].
  • 10Tennenhouse DL,Wetherall DJ.Towards an active network architecture.In:Proc.of the IEEE DARPA Active Networks Conf.and Exposition.2002.2-15.[doi:10.1109/DANCE.2002.1003480].

共引文献452

同被引文献18

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部