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引用次数: 1

摘要

本文提出了一种估计并行冗余网络时延的统一方法。所提出的方法基于数理统计,作者认为,与国际电联推荐的基于马尔可夫链模型的典型估计相比,该方法在小型网络中更具指导性。该方法需要已知的并行网络延迟的cdf,以及它们的丢包率。CDFs可以根据实验数据建立,也可以根据假设的分布函数进行近似。该方法消除了计算马尔可夫链中所需的转移概率的需要。同时,该方法可用于各种数量的并行网络。但该方法仅适用于独立网络
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Method for estimating delays in parallel redundant data transfer networks
This paper presents a unified method for estimating latencies in a parallel redundant network with losses. The proposed method is based on mathematical statistics and, in the opinion of the authors, is more instructive in small networks than typical estimations that are based on the Markov chain model, which is recommended by ITU. The method requires known CDFs of latencies of parallel networks, as well as their packet loss rates. The CDFs can be built from experimental data or can be approximated in accordance to assumed distribution function. The method eliminates the need to calculate the transition probabilities that are required in the Markov chain. Also, the method can be used for various number of parallel networks. However, the method is applicable only for independent networks
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