上海交通大学学报(自然版) ›› 2018, Vol. 52 ›› Issue (9): 1104-1111.doi: 10.16183/j.cnki.jsjtu.2018.09.015

• 学报(中文) • 上一篇    下一篇

弹性光网络中基于光路维持时间感知的节能策略

吕翊,师劲,杨娅娅   

  1. 重庆邮电大学 通信与信息工程学院; 重庆高校市级光通信与网络重点实验室, 重庆 400065
  • 通讯作者: 吕翊(1963-),男,重庆市人,教授, 主要研究方向为下一代光网络理论与技术.E-mail:luyi@cqupt.edu.cn.
  • 基金资助:
    国家自然科学基金资助项目(61401052),国家留学基金委面上项目(201608500030),重庆市教委科学技术研究项目(KJ1400418, KJ1500445),重庆邮电大学博士启动基金(A2015-09)

Energy Saving Strategy Based on Lightpath Holding Time Aware for Elastic Optical Network

Lü Yi,SHI Jin,YANG Yaya   

  1. School of Telecommunication and Information Engineering; Key Laboratory of Optical Communication and Network, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

摘要: 为了有效减小弹性光网络的能耗,基于软件定义网络技术提出了一种光路维持时间感知的节能策略.该策略旨在减小网络中因拆建光路产生的巨大开关能耗,即首先结合软件定义网络技术和反向传播神经网络模型来感知网络中各光路的业务情况,其次对于网络中已完成业务传输而即将被拆除的光路,根据预测结果为该光路设定一个维持时间.通过为空闲光路设定维持时间,可以避免随后为此源目的节点对之间的业务请求重新建立光路,从而消除了重新建立光路产生的开关能耗.仿真结果表明,相对传统的没有考虑开关能耗的节能策略,所提策略甚至能够减小45%的网络总能耗且能使阻塞率维持在一个合理的范围.

关键词: 弹性光网络, 光路维持时间, 能耗

Abstract: To effectively reduce the energy consumption for elastic optical network, an energy saving strategy based on software defined networking is proposed. The strategy is designed to reduce the huge switching power of lightpath termination and re-establishment. Firstly, the software defined networking technology and back propagation neural network model are used to predict the traffic situation of each lightpath in the network. Then, for the lightpath on which the traffic transmission has been completed and is about to be removed, a holding time is set according to the prediction result. Setting the holding time for the idle lightpath can avoid the re-establishment of the lightpath between the same source destination node pairs and eliminat the switching power consumption. The simulation results show that the proposed strategy can reduce the total energy consumption by 45% while maintaining a bandwidth blocking ratio at levels comparable to strategies which do not consider the switching power.

Key words: elastic optical network, lightpath holding time, energy consumption

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