Energy-saving algorithm considering idle light-path prediction in SDM-EON

Yu XIONG; Jinyou HE; Baohua WANG; Bin ZHOU

doi:10.11959/j.issn.1000-436x.2019203

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Energy-saving algorithm considering idle light-path prediction in SDM-EON

Papers | 更新时间：2024-06-05

- Energy-saving algorithm considering idle light-path prediction in SDM-EON
- Journal on Communications Vol. 40, Issue 10, Pages: 137-148(2019)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 重庆高校市级光通信与网络重点实验室，重庆 400065
  3. 泛在感知与互联重庆市重点实验室，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61401052);The Project of the China Scholarship Council(201608500030);The Science and Technology Project of Chongqing Municipal Education Commission(KJ1400418);The Science and Technology Research Project of Chongqing Municipal Education Commission(KJ1500445);The PhD Start-up Fund of Chongqing University of Posts and Telecommunications(A2015-09)
- DOI：10.11959/j.issn.1000-436x.2019203
  CLC： TN929.1
- Online First：2019-10，
  
  Published：25 October 2019
- 稿件说明：
移动端阅览
Yu XIONG, Jinyou HE, Baohua WANG, et al. Energy-saving algorithm considering idle light-path prediction in SDM-EON[J]. Journal on Communications, 2019, 40(10): 137-148.
DOI：

Yu XIONG, Jinyou HE, Baohua WANG, et al. Energy-saving algorithm considering idle light-path prediction in SDM-EON[J]. Journal on Communications, 2019, 40(10): 137-148. DOI： 10.11959/j.issn.1000-436x.2019203.

摘要

为有效降低空分复用弹性光网络（SDM-EON）中的能耗、阻塞率及多芯光纤中相邻纤芯间串扰，提出了一种考虑空闲光路预测的节能算法。首先，使用极限学习机模型预测网络中各光路的业务量，得出空闲光路集合与各空闲光路的维持时刻阈值；然后，通过预测算法感知空闲光路的实际维持时刻；最后，在实际维持时刻不超过最小维持时刻阈值且芯间串扰低于串扰阈值的空闲光路中，加载能耗最小的空闲光路被选来分配给新业务。仿真结果表明，相对于传统节能算法，在满足SDM-EON串扰限制的前提下，所提算法能够达到更佳的节能效果，且能使阻塞率维持在一个合理的范围。

Abstract

To effectively reduce the energy consumption

blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON)

an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then

the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally

in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold

the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm

when the SDM-EON crosstalk limitation is satisfied

the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.

关键词

Keywords

references

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