多业务网络中马尔可夫流体模型快速随机模拟技术的计算代价

G. D'Acquisto, M. Naldi
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引用次数: 2

摘要

针对宽带通信网络中广泛应用的马尔可夫流体模型,分析了两种加速仿真技术——重要性采样和重启算法。针对一个示例案例,暴露并评估与其计算成本相对应的不同项。对于非常罕见的事件和大型系统的模拟,发现重要性抽样是可取的(即呈现较低的计算成本)。提出了一个基于系统大小和估计事件概率的计算量较轻的模拟技术的先验选择的暂定准则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational costs of fast stochastic simulation techniques for Markovian fluid models in multiservice networks

Two accelerated simulation techniques, Importance Sampling and RESTART, are analyzed in the context of the class of Markovian fluid models, widely used in broadband communication networks. The different terms corresponding to their computational cost are exposed and evaluated for a sample case. Importance Sampling is found to be preferable (i.e. to present the lower computational cost) for the simulation of very rare events and large systems. A tentative criterion is proposed for the a priori selection of the computationally lighter simulation technique, based on the system size and on the probability of the event being estimated.

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