A numerical approach of the analysis of optical container filling

Youssef Ait El Mahjoub, J. Fourneau, Hind Castel-Taleb
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Abstract

We study the performance of the optical network architecture NGreen which is based on an optical slotted ring. The random part of the end to end delay comes from the times needed to build an optical container from arriving Data Units and the insertion of the optical container on the ring. Here, to study the first problem, we build a Discrete Time Markov Chain to model the filling of the optical container with Data Units. We take into account a deadline (to have a small latency) and a constraint on a minimal filling of the container (to be energy efficient). We obtain through a numerical analysis using an ad-hoc algorithm we proved, the distribution of the container filling and the distribution of the time needed to build a container. We also compare the algorithm speed with two well known algorithms to compute the steady-state distribution of Markov chains.
光学容器填充分析的数值方法
研究了基于光槽环的光网络结构NGreen的性能。端到端延迟的随机部分来自从到达的数据单元构建光容器和在环上插入光容器所需的时间。在这里,为了研究第一个问题,我们建立了一个离散时间马尔可夫链来用数据单元来模拟光学容器的填充。我们考虑了最后期限(具有较小的延迟)和对容器最小填充的约束(以提高能源效率)。通过数值分析,我们得到了用ad-hoc算法证明的集装箱填充的分布和建造一个集装箱所需时间的分布。在计算马尔可夫链的稳态分布时,我们还将算法速度与两种已知算法进行了比较。
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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