Fluid flow approximation of PEPA models
Fluid flow approximation of PEPA models
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DOI：
10.1109/qest.2005.12
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
J. Hillston
中科院分区：
文献类型：
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作者：
J. Hillston
在本文中，我们提出了一种新的性能分析技术的大规模系统建模的随机过程代数PEPA。与众所周知的通过连续时间马尔可夫链分析的方法相反，我们的基本数学表示是一组耦合的常微分方程（ODE）。这个分析过程支持PEPA代数的所有组合子，非常适合具有大量复制组件的系统。本文提出了一个优雅的过程中产生的常微分方程，并比较这种分析的结果与更传统的方法。
In this paper we present a novel performance analysis technique for large scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of analysing via continuous time Markov chains, our underlying mathematical representation is a set of coupled ordinary differential equations (ODEs). This analysis process supports all of the comhinators of the PEPA algebra and is well suited to systems with large numbers of replicated components. The paper presents an elegant procedure for the generation of the ODEs and compares the results of this analysis with more conventional methods.