SPNP:随机Petri网包

G. Ciardo, J. Muppala, Kishor S. Trivedi
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引用次数: 676

摘要

SPNP是一个功能强大的GSPN包,可以对复杂的系统行为进行建模。高级结构在SPNP中可用,例如标记依赖的弧多重性,启用功能,位置或转换数组和子网;C编程语言的充分表达能力也可用于增加网络描述的灵活性。复杂的稳态和瞬态求解包括累积和吸收措施。用户不局限于一组预定义的度量;准确反映所寻求的措施的详细表达式可以很容易地指定。最后,作者将SPNP与另外两个基于SPN的软件包Great SPN和METASAN进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPNP: stochastic Petri net package
SPNP, a powerful GSPN package that allows the modeling of complex system behaviors, is presented. Advanced constructs are available in SPNP such as marking-dependent arc multiplicities, enabling functions, arrays of places or transitions, and subnets; the full expressive power of the C programming language is also available to increase the flexibility of the net description. Sophisticated steady-state and transient solvers are available including cumulative and up-to-absorption measures. The user is not limited to a predefined set of measures; detailed expressions reflecting exactly the measures sought can be easily specified. The authors conclude by comparing SPNP with two other SPN-based packages, Great SPN and METASAN.<>
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