Energy Consumption-sensitive Intentional Rerouting of Protected Connections in Elastic Optical Networks

Q1 Mathematics
N. G. Anoh, Ali Ouattara Kobenan, J. Adépo, M. Babri, A. Kora
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Abstract

The reduction of energy consumption in elastic optical networks is of major interest to the research community. As a result, several methods for solving this problem in combination with existing classical problems have been proposed. Elastic optical networks are subject to disturbance phenomena that degrade their quality and performance. To optimize resources, operators must recalculate new routes and plan the displacement of established connections towards these new routes to cope with these phenomena, it’s the reconfiguration. The problem addressed in this article is to reconfigure a set of unicast protected connections without interruption to a new routing calculated during the process. Knowing that the use of backup paths solves the interruption problem, but has an impact on the overall energy consumption, the goal is to find a good compromise between the two sub-problems when switching from old routes to new ones. To the best of our knowledge, there is no work on reconfiguration that uses energy-aware backup paths. In this work, we proposed an energy-aware EERA_EON rerouting algorithm using the backup paths. Simulations have shown the performance of this approach in terms of energy consumption compared to the work of our predecessors. Subsequently, we proposed a classical BRA_EON rerouting algorithm in elastic optical networks. Simulation results show that we perform BRA_EON in terms of the number of steps.
弹性光网络中受保护连接的能耗敏感型有意重路由
降低弹性光网络的能耗是研究界的一大兴趣所在。因此,人们提出了几种结合现有经典问题解决这一问题的方法。弹性光网络会受到干扰现象的影响,从而降低其质量和性能。为了优化资源,运营商必须重新计算新的路由,并计划将已建立的连接转移到这些新的路由上,以应对这些现象,这就是重新配置。本文要解决的问题是,在重新配置单播受保护连接的过程中,如何不中断地使用计算出的新路由。我们知道,使用备份路径可以解决中断问题,但会对总体能耗产生影响,因此我们的目标是在从旧路由切换到新路由时,在这两个子问题之间找到一个良好的折中方案。据我们所知,目前还没有使用能量感知备份路径进行重新配置的研究。在这项工作中,我们提出了一种使用备份路径的能量感知 EERA_EON 重路由算法。仿真结果表明,与前人的工作相比,这种方法在能耗方面表现出色。随后,我们提出了弹性光网络中的经典 BRA_EON 重路由算法。仿真结果表明,我们在步数方面优于 BRA_EON。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
33
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