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A tool for verified analysis of transient and steady states of queues

机译:用于验证队列瞬态和稳态的经过验证的工具

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In the analysis of queueing systems, many approaches have been developed with different properties regarding the complexity and numerical stability of the computation. We have studied factorization methods, which proved to be efficient for traffic modelling in telecommunication systems as well as classical queueing systems.Since the traffic rate on each transmission link is limited by a constant forwarding capacity, discrete time models with distributions of finite support are then appropriate, including deterministic service as the simplest case. On the other hand, various autocorrelation structures of Internet traffic are taken into account using semi-Markovian modeling.We have developed the InterVerdiKom tool starting with steady state analysis of semi-Markov systems in discrete time based on Wiener-Hopf and polynomial factorization. The tool has been applied to evaluate the performance of switching systems with input from superposed on-off sources and for video traffic. Using approximations ofa Gaussian distribution function at stepwise refined discretization granularity, even servers with a first order autoregressive input have been analyzed at a controllable accuracy level.The tool makes use of interval arithmetic for verification of the accuracy of results of the steady state solution methods and has been extended recently to include transient system behavior.
机译:在排队系统的分析中,已开发出许多方法,它们在计算的复杂性和数值稳定性方面具有不同的属性。我们已经研究了因式分解方法,这些方法被证明对于电信系统以及经典排队系统中的流量建模都是有效的。由于每个传输链路上的流量速率都受到恒定转发能力的限制,因此需要使用有限支持分布的离散时间模型适当,包括确定性服务是最简单的情况。另一方面,我们使用半马尔可夫模型考虑了互联网流量的各种自相关结构。基于Wiener-Hopf和多项式因式分解,我们从离散马尔可夫系统的稳态分析开始开发了InterVerdiKom工具。该工具已用于评估开关系统的性能,该开关系统具有来自叠加式开关源的输入以及视频流量。在逐步精化的离散化粒度上使用高斯分布函数的近似值,甚至对具有一阶自回归输入的服务器也已以可控制的精度进行了分析。该工具利用区间算法来验证稳态解方法和最近已扩展,以包括瞬态系统行为。

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