基于频谱感知的业务分割-合并的弹性光网络资源分配策略

doi:10.11999/JEIT150842

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Abstract

Traffic split provisioning scheme leads to extra guard band and equipment ports occupation, which decreases the spectrum utilization and increases the energy consumption for elastic optical networks. To address the problem, a spectrum-aware traffic split-merge spectrum resource allocation strategy is proposed. When a new request comes, the total link spectrum consecutiveness for each path is calculated. And the spectral block with the highest spectrum consecutiveness is selected to transmit the request. If the number of frequency slots required by the request exceeds the size of any available spectral block in all paths, the demand is split into multiple sub-demands and allocates them into multiple spectral blocks with relatively higher spectrum consecutiveness. When an available spectral block which meets the requested number of frequency slots is detected on the transmission path, the sub-demands are merged. And spectrum consecutiveness is introduced in the decision criterion for the traffic merge operation. Simulation results indicate that the proposed strategy can significantly reduce the bandwidth blocking probability and save the energy consumption for the elastic optical networks.

Key words： Elastic optical networks Routing and spectrum allocation Traffic split-merge Bandwidth blocking probability Energy consumption

Received: 13 July 2015 Published: 22 January 2016

PACS:

TN929.11

Fund:

The National Natural Science Foundation of China (61275077), The Scientific Research Fund of Chongqing Municipal Commission (KJ1140421), The Basic and Frontier Research Program of Chongqing (2015jcyjA40024)

Corresponding Authors: LIU Huanlin E-mail: liuhl2@sina.com

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	LIU Huanlin
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	CHEN Yong

Cite this article:

LIU Huanlin,XU Yifan,CHEN Yong. Spectrum-aware Traffic Split-Merge Resource Allocation Strategy for Elastic Optical Networks[J]. JEIT, 2016, 38(4): 892-898.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150842 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I4/892

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