光网络可用性分析中修复时间的指数假设

R. B. Lourenço, D. Mello
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引用次数: 4

摘要

网络元件的修复时间通常建模为指数随机变量,故障时间也是如此。这允许使用马尔可夫链对光网络中路由的连接进行可用性分析。然而,修复时间可以更好地描述为威布尔分布随机变量,从而防止使用马尔可夫链。本文研究了光网络中修复时间分布对连接间隔可用性的影响。比较了指数假设和威布尔假设。通过计算机模拟,并考虑美国网络中路由连接的案例研究,我们确定了威布尔假设和指数假设产生相似或不同结果的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the exponential assumption for the time-to-repair in optical network availability analysis
The time-to-repair of network elements is usually modelled as an exponential random variable, as is the time-to-failure. This allows the use of Markov chains to perform availability analysis of connections routed in the optical network. However, the times-to-repair may be better described as Weibull distributed random variables, thus preventing the use of Markov chains. This paper investigates the impact of the time-to-repair distribution on the interval availability of a connection in an optical network. The exponential and the Weibull assumptions are compared. By computer simulations, and considering the case study of a connection routed in an American network, we identify the cases where the Weibull and exponential assumptions yield similar or distinct results.
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