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Pattern Recognition Technique for Synthesis Fractal Petri Nets

机译:合成分形Petri网的模式识别技术

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The elasticity principles have become one of the most important features of contemporary distributed systems. This novel paradigm has major consequences on Petri nets modeling. The problem is to decide whether an arbitrary Petri net satisfies the elasticity and how to make it elastic. The problem is solved by synthesis of Fractal Petri nets. Fractal Petri nets based on Iterated Algebraic System which makes possible elastic synthesis by incrementing or decrementing of original Petri net. One of the important tasks is recognition of a subnet which used as a pattern for elastic synthesis. For this purpose evolutionary classification of Petri nets based on subnets synthesis is introduced. And furthermore, algebraic operations replication and composition make elastic synthesis object-oriented. Control of the elasticity over the resources and system behavior is achieved with the use of patterns overlapping technique.
机译:弹性原理已成为当代分布式系统最重要的特征之一。这部小说范式对Petri网建模具有重大影响。问题是决定任意Petri网是否满足弹性,以及如何使其弹性。通过合成分形Petri网来解决问题。基于迭代代数系统的分形Petri网,通过递增或递减原始的Petri网来实现弹性合成。其中一个重要任务是识别子网,该子网用作弹性合成的模式。为此,介绍了基于子网合成的Petri网的进化分类。此外,代数操作复制和组成使弹性合成面向对象。通过使用模式重叠技术来实现对资源和系统行为的弹性控制。

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