• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (03): 433-440.

• 论文 • 上一篇    下一篇

节能路由器的动态调频策略研究

史湘君,嵩天   

  1. (北京市海量语言信息处理与云计算应用工程技术研究中心,北京理工大学计算机学院,北京 100081)
  • 收稿日期:2013-07-25 修回日期:2013-09-28 出版日期:2014-03-25 发布日期:2014-03-25
  • 基金资助:

    国家自然科学基金资助项目(61272510,60803002)

Frequency scaling policies for energy efficient routers     

SHI Xiangjun,SONG Tian   

  1. (Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application,
    School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China)
  • Received:2013-07-25 Revised:2013-09-28 Online:2014-03-25 Published:2014-03-25

摘要:

网络基础设施中路由器的电量消耗随着网络规模的不断发展已经不容忽视,节能路由器的研制与使用是绿色通信网络发展的重要步骤之一。在分析网络流量的特点和证明细粒度调频有巨大节能潜力的基础上,设计了可动态调整频率的节能路由器系统架构,重点提出两类路由器的自动调频策略:微周期调频和阈值调频,深入分析了四种具体调频方法。结合不同的流量数据,通过实验评估了所提方法在各种网络中的节能效果,对接入网络的真实流量的实验结果显示,采用动态调频方法,理论上最大节能可达到40%左右,为节能路由器的设计与应用提供了参考依据。

关键词: 绿色网络, 流量分析, 调频策略, 路由器

Abstract:

With the development of the network scale, energy consumption problems of network infrastructures cannot be ignored. Studying and applying energy efficient routers is one of the important steps to develop green network. Based on the analysis of network traffic and the proof of the huge energy saving potential of finegrained frequency scaling, the system architecture of energy efficient routers is designed, which can dynamically scale the frequency. Two kinds of router frequency scaling strategies are mainly proposed, which are called microperiodical scaling policy and threshold scaling policy. And four specific frequency scaling methods are analyzed in detail. We simulate the frequency scaling policies under different traffic conditions, analyze the performance of policies under various application scenarios according to the experimental statistical data. The experiments on real traffic of access router show that about 40% of energy can be saved by using our power scaling methods, providing a reference for designing and applying of energy efficient methods on routers.

Key words: green networking;flow analysis;frequency scaling policies;router