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Fractal Petri nets

机译:分形培养网

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摘要

During the last decade a new kind of dynamic architectural models and algorithms for system scalability has emerged. The dynamic scalability is one of the most important design goals for developers of distributed systems and cloud computing. We introduce Fractal Petri nets (FP-nets) that takes into account the dynamically scalable distributed architectures. FP-nets are a backward compatible extension of Petri Nets on the base of algebraic structure. FP-nets are synthesized from the initial marking Petri net by replication. FP-nets are considered as distributed. Well-known techniques for analysis of Petri net theory are adjusted to FP-nets. New techniques for modeling distributed resources named “token-stub” are suggested. The distributed IT resources are integrated into the architectures of FP-nets. Three FP-nets architectures such as layered, folded, and unfolded are proposed. A FP-net avoids the scalability problems. There are properties of FP-nets: scalability, self-similarity, and token-stub dependences. FP-nets can be highly recommended for automatic modeling dynamically scalable distributed architectures.
机译:在过去的十年中,已经出现了一种新的动态架构模型和系统可伸缩性算法。动态可扩展性是分布式系统和云计算开发人员最重要的设计目标之一。我们介绍了分形Petri网(FP-Net),以考虑动态可扩展的分布式架构。 FP-网是在代数结构基部上的Petri网的向后兼容延伸。通过复制从初始标记Petri网合成FP-Net。 FP-Net被认为是分布式的。用于分析Petri网理论的众所周知的技术调整为FP-网。建议建议用于建模分布式资源的新技术名为“token-stup”。分布式IT资源集成到FP-Net的架构中。提出了三个FP-Net架构,如分层,折叠和展开。 FP-Net避免了可扩展性问题。有fp-nets的属性:可伸缩性,自相似性和令牌存根依赖性。可以强烈推荐FP-Net用于自动建模动态可扩展的分布式架构。

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