[1]孙冬冬,杨龙祥. 基于软件定义的未来网络节能算法[J].计算机技术与发展,2017,27(03):70-74.
　SUN Dong-dong,YANG Long-xiang. Future Network Energy Saving Algorithm Based on Software Definition[J].,2017,27(03):70-74.
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 基于软件定义的未来网络节能算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年03期
页码:
70-74
栏目:
智能、算法、系统工程
出版日期:
2017-03-10

文章信息/Info

Title:
 Future Network Energy Saving Algorithm Based on Software Definition
文章编号:
1673-629X（2017)03-0070-05
作者:
 孙冬冬; 杨龙祥
 南京邮电大学 通信与信息工程学院
Author(s):
 SUN Dong-dong; YANG Long-xiang
关键词:
 ; 软件定义网络; 能量消耗; 节能; 二进制整数规划算法; 贪婪算法
Keywords:
 ; SDN; energy consumption; energy saving; binary integer programming algorithm; greedy algorithm
分类号:
TP301.6
文献标志码:
A
摘要:
 随着网络用户的急剧增长和网络规模的不断扩大,网络的能耗已经成了越来越严重的问题,所以网络节能成为了人们关注的问题.但是,在传统的网络架构的基础下,进行网络的节能研究不是有效的,因为没有集中的控制和管理机制.因而提出了SDN的未来网络架构,其分离了设备的控制层和数据层,其控制层能够获得整个网络设备的信息,从而为网络的节能带来了方便.SDN是在全局网络的基础上提供了一种新的绿色网络节能技术:它能收集整个网络的拓扑和每个设备的实时流量信息.在SDN的基础上,提出了二进制节能算法和贪婪算法,通过SDN集中的管理和预处理流量,得到了更好的节能效果.通过仿真结果可以看出,提出的算法的确要好于传统的算法.
Abstract:
 With the rapid growth of network users and the continuous expansion of the network scale,energy consumption of the network has become more and more serious problem,so the network energy saving has become the focus. However,on the basis of the traditional network architecture,energy conservation research of the network is not effective,because there is no centralized control and management mechanism. Thus the future network SDN architecture is presented which separates control layer and data layer of devices. Control layer can obtain information of the whole network devices which is convenient to network of energy saving. On the basis of the global network, SDN provides a new green network energy saving technology which can collect the entire network topology and real-time traffic informa-tion of each equipment. On the basis of SDN,the binary energy-saving algorithm and greedy algorithm are put forward. Through central-ized management and preprocessing traffic by SDN,the better energy efficiency is achieved. Finally,the simulation results can be seen that the proposed algorithm is indeed better than traditional one.

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更新日期/Last Update: 2017-05-12