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Extending the Symmetry Approach in (S)WN Models

机译:扩展(S)WN模型中的对称方法

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The most useful qualitative/quantitative analysis techniques for Discrete-Event Dynamic Systems are still state-space based. It is well known that similar techniques suffer from the possible state space combinatorial explosion. An approach to face the problem is the exploitation of behavioral symmetries of systems for building quotient (i.e. reduced) state-transition graphs. Behavioral symmetries can be naturally described using a high-level Petri Net formalism, Well-Formed Coloured Nets (WN). WNs exploit symmetries for the automatic generation of a quotient graph, the Symbolic Reachability Graph (SRG). The SRG provides a compact representation of the ordinary state-transition graph of the modeled system. Performance analysis is possible with the SWN formalism (a stochastic extension of WNs), which allows to automatically build a lumped Continuous Time Markov Chain from the SRG. The SRG technique reveals very effective when applied to systems with a high degree of symmetry, but it looses most of its efficacy when considering partially symmetrical systems, namely systems mixing a (prevalent) symmetric behavior with some asymmetry. The intuitive explanation is that in WNs (a)symmetries are specified at syntax level as part of the model color (i.e. data) structure, on which the SRG definition relies. A first attempt of adding flexibility to the static symmetry approach (typical of the SRG), based on the very intuitive idea of taking into account asymmetries only when they actually take place, has lead to the so-called Extended Symbolic Reachability Graph (ESRG). The ESRG gives a representation of the system behavior significantly more compact than the SRG in case of "nearly symmetrical" systems (a restricted class of partially symmetrical systems). The main ESRG limit lies in its reduced capability of capturing more general kinds of symmetries. In the paper the (E)SRG technique is surveyed and is extended to caught local symmetries, extremely frequent in real systems. A new high-level reachability graph is introduced, which reveals more compact than the corresponding (E)SRG for SWN models exhibiting a diffuse asymmetric behavior. The extension retains the basic (E)SRG properties.
机译:用于离散事件动态系统的最有用的定性/定量分析技术仍然是基于状态空间的。众所周知,类似的技术遭受可能的状态空间组合爆炸。面对问题的方法是利用用于构建商(即减少)状态转换图的系统的行为对称。可以使用高级Petri网络形式主义,形成的彩网(WN)自然地描述行为对称。 WNS利用对称性生成商曲线的对称性,符号到达性图(SRG)。 SRG提供了模拟系统的普通状态转换图的紧凑表示。使用SWN形式主义(WNS的随机延伸)可能进行性能分析,这允许从SRG自动构建一个集总时间马尔可夫链。当施加到具有高对称性的系统时,SRG技术揭示了非常有效的,但是当考虑部分对称的系统时,它在大部分时效果减少,即系统混合(普遍的)对称行为与一些不对称的系统。直观的解释是,在WNS(a)中,对称在语法级别指定,作为模型颜色(即数据)结构的一部分,SRG定义依赖于此。第一次尝试为静态对称方法(典型的SRG)添加灵活性,基于仅在实际发生时考虑到不对称的非常直观的思想,导致所谓的扩展符号到达性图(ESRG) 。 ESRG在“几乎对称”系统(限制的部分对称系统)的情况下,系统行为的表示明显比SRG更紧凑。主要的ESRG限制在于捕获更一般的对称性的能力。在纸质中,(e)SRG技术被调查并扩展到捕获当地对称性,在真实系统中非常频繁。介绍了一种新的高级可达性图,其揭示了比表现出漫射不对称行为的SWN模型的相应(e)SRG更紧凑。扩展保留基本(e)SRG属性。

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