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Lumping-Based Equivalences in Markovian Automata and Applications to Product-Form Analyses

机译:马尔可夫自动机中基于集总的等价关系及其在产品形式分析中的应用

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The analysis of models specified with formalisms like Markovian process algebras or stochastic automata can be based on equivalence relations among the states. In this paper we introduce a relation called exact equivalence that, differently from most aggegation approaches, induces an exact lumping on the underlying Markov chain instead of a strong lumping. We prove that this relation is a congruence for Markovian process algebras and stochastic automata whose synchronisation semantics can be seen as the master/slave synchronisation of the Stochastic Automata Networks (SAN). We show the usefulness of this relation by proving that the class of quasi-reversible models is closed under exact equivalence. Quasi-reversibility is a pivotal property to study product-form models, i.e., models whose equilibrium behaviour can be computed very efficiently without the problem of the state space explosion. Hence, exact equivalence turns out to be a theoretical tool to prove the product-form of models by showing that they are exactly equivalent to models which are known to be quasi-reversible.
机译:可以基于状态之间的等价关系来分析用形式主义(例如马尔可夫过程代数或随机自动机)指定的模型。在本文中,我们介绍了一种称为精确对等的关系,该关系与大多数凝聚方法不同,它引起基本马尔可夫链上的精确集总,而不是强集总。我们证明了这种关系对于马尔可夫过程代数和随机自动机是一致的,它们的同步语义可以看作是随机自动机网络(SAN)的主/从同步。通过证明准可逆模型的类别在完全等价的情况下是封闭的,我们证明了这种关系的有用性。准可逆性是研究产品形式模型的关键属性,即可以非常有效地计算出平衡行为而又不存在状态空间爆炸问题的模型。因此,精确等价证明是通过证明模型与已知是准可逆的模型完全等价来证明模型的产品形式的理论工具。

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