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Simulation approach to estimate the system reliability of a time-based capacitated flow network susceptible to correlated failures

机译:评估易受相关故障影响的基于时间的电容式流动网络的系统可靠性的仿真方法

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摘要

This paper constructs a time-based capacitated flow network (TCFN) model to analyze the performance of a computer network, considering correlation between the failures of all the physical lines comprising the edges of the network. This model allows us to assess global-scale events, including correlated failures in local and neighboring edges that can cause widespread damage and degrade TCFN performance. A simulation approach is proposed to quantify the probability that a given amount of data can be sent from an origin to destination through this TCFN within a time constraint. This probability that the network satisfies both a specified level of demand and time constraint is referred to as system reliability. The results of several experimental including a practical computer network demonstrate that correlation can positively or negatively impact reliability depending on the demand and time constraint. The modeling approach therefore promotes design and optimization studies to ensure that a network will be highly reliable despite correlated failures.
机译:考虑到组成网络边缘的所有物理线路的故障之间的相关性,本文构建了一个基于时间的容量流网络(TCFN)模型来分析计算机网络的性能。该模型使我们能够评估全球范围的事件,包括可能导致广泛损坏并降低TCFN性能的局部和邻近边缘的相关故障。提出了一种仿真方法来量化在一定时间限制内可以通过此TCFN将给定数量的数据从始发地发送到目的地的可能性。网络同时满足指定级别的需求和时间限制的概率称为系统可靠性。包括实用计算机网络在内的多个实验的结果表明,相关性可以根据需求和时间限制对可靠性产生正面或负面的影响。因此,建模方法促进了设计和优化研究,以确保尽管存在相关的故障,网络仍将高度可靠。

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