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A Hessenberg Markov chain for fast fibre delay line length optimization

机译:用于快速光纤延迟线长度优化的Hessenberg markov链

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摘要

In this paper we present an approach to compute the invariant vector of the N + 1 state Markov chain P presented in (Rogiest et al., Lecture Notes in Computer Science, NET-COOP 2007 Special Issue, pp. 4465:185-194) to determine the loss rate of an FDL buffer consisting of N lines, by solving a related Hessenberg system (i.e., a Markov chain skip-free in one direction). This system is obtained by inserting additional time instants in the sample paths of P and allows us to compute the loss rate for various FDL lengths by solving a single system. This is shown to be especially effective in reducing the computation time of the heuristic LRA algorithm presented in (Lambert et al., Proc. NAEC 2005, pp. 545-555) to optimize the FDL lengths, where improvements of several orders of magnitude can be realized.
机译:在本文中,我们提出了一种计算N + 1状态马尔可夫链P不变向量的方法,该方法在(Rogiest等人,计算机科学讲座,NET-COOP 2007特刊,第4465:185-194页)中提出。通过求解相关的Hessenberg系统(即,在一个方向上无马氏链)来确定由N条线组成的FDL缓冲区的丢失率。该系统是通过在P的采样路径中插入额外的时刻而获得的,并允许我们通过求解单个系统来计算各种FDL长度的损耗率。在减少(Lambert et al。,Proc。NAEC 2005,pp.545-555)中介绍的启发式LRA算法的计算时间方面,这种方法被证明特别有效,可以优化FDL长度,从而可以改善几个数量级。被实现。

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