张梅琼. 基于节点度序列的软件定义网络节能算法[J]. 微电子学与计算机, 2021, 38(10): 65-72. DOI: 10.19304/J.ISSN1000-7180.2021.0059
引用本文: 张梅琼. 基于节点度序列的软件定义网络节能算法[J]. 微电子学与计算机, 2021, 38(10): 65-72. DOI: 10.19304/J.ISSN1000-7180.2021.0059
ZHANG Meiqiong. Software defined network energy efficient algorithm based on degree sequence of nodes[J]. Microelectronics & Computer, 2021, 38(10): 65-72. DOI: 10.19304/J.ISSN1000-7180.2021.0059
Citation: ZHANG Meiqiong. Software defined network energy efficient algorithm based on degree sequence of nodes[J]. Microelectronics & Computer, 2021, 38(10): 65-72. DOI: 10.19304/J.ISSN1000-7180.2021.0059

基于节点度序列的软件定义网络节能算法

Software defined network energy efficient algorithm based on degree sequence of nodes

  • 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.

     

    Abstract: 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.

     

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