北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (1): 83-86.doi: 10.13190/j.jbupt.2016.01.015

• 研究报告 • 上一篇    下一篇

业务持续时间的带宽可变节能调度算法

蔚承英, 周邦陶, 刘焕淋, 刘洋, 陈勇   

  1. 重庆邮电大学通信与信息工程学院, 重庆 400065
  • 收稿日期:2015-01-12 出版日期:2016-02-28 发布日期:2016-01-29
  • 作者简介:蔚承英(1973-),女,讲师,E-mail:weicy@cqupt.edu.cn.
  • 基金资助:

    国家自然科学基金项目(61275077,61571072);重庆市科委自然基金项目(2015jcyjA40024,2011jjA1361)

A Bandwidth-Variable Scheduling Algorithm of Saving Energy for the Holding Time of Traffic Requests

WEI Cheng-ying, ZHOU Bang-tao, LIU Huan-lin, LIU Yang, CHEN Yong   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2015-01-12 Online:2016-02-28 Published:2016-01-29

摘要:

在绿色光网络中,业务传输时隙分配策略和路由选择算法很大程度上决定了光网络的传输能耗大小.针对业务持续时间的传输能耗问题,提出了一种基于灵活时间带宽预留型业务带宽可变节能调度算法.通过构造业务的调度权值矩阵,计算不同备选传输路径在不同时隙内被各个业务选择的次数,并基于贪婪算法为业务选择最小能耗的传输时隙和路径;同时,为充分利用已建光路的可用带宽,还设计了一种带宽调整策略,能根据不同时隙内光路的可用带宽调整业务的传输带宽,最小化网络中光路的数目.仿真结果表明,提出的带宽可变节能调度算法可有效地降低网络的传输能耗和业务阻塞率,提升网络的性能.

关键词: 光网络, 预留型业务, 权值矩阵, 带宽调整, 阻塞率

Abstract:

In green optical networks, the transmission time-slot allocation strategy and routing algorithm have a greatly impact on the transmission energy consumption. Aiming at the transmission energy consumption problem, a bandwidth-variable energy efficient scheduling (BVEES) algorithm based on flexible-time scheduled traffic was proposed. By constructing a weight matrix, BVEES calculates the selected times of different path candidates in different slots. Based on the idea of greedy algorithm, BVEES selects the transmission paths and time slots with the minimum transmission energy consumption. In addition, a bandwidth adjustment strategy, which can adjust transmission bandwidth according to the available bandwidth in different slots, was designed for BVEES to minimize the number of lightpaths in optical networks. Simulations show that the BVEES can effectively reduce the transmission energy consumption and the blocking probability.

Key words: optical networks, scheduled traffic, weight matrix, bandwidth adjustment, blocking probability

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