通过流体随机Petri网对具有恢复、恢复和检查点的软件系统建模

A. Bobbio, S. Garg, M. Gribaudo, A. Horváth, M. Sereno, M. Telek
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引用次数: 37

摘要

本文提出了一种基于流体随机Petri网(FSPN)的模型,该模型通过检测点、恢复和自我恢复这三种著名的软件容错技术来捕捉老化软件系统的行为。提出的基于FSPN的建模框架在很多方面都是新颖的。首先,通过添加冲洗弧扩展了FSPN形式本身。其次,首次在单个模型中同时捕获了这三种技术。第三,形式化允许对三种技术在不同系统特征(如同一框架中的故障、负载和时间)上的依赖关系进行建模。此外,我们的基本FSPN模型可以看作是文献中大多数先前模型的概括。我们证明这些FSPNs不仅可以模仿以前发表的模型,而且还可以扩展它们。对于一个FSPN模型,我们给出了数值结果来说明它们在推导感兴趣的度量中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling software systems with rejuvenation, restoration and checkpointing through fluid stochastic Petri nets
In this paper, we present a Fluid Stochastic Petri Net (FSPN) based model which captures the behavior of aging software systems with checkpointing, rejuvenation and self-restoration, three well known techniques of software fault tolerance. The proposed FSPN based modeling framework is novel in many aspects. First, the FSPN formalism itself is extended by adding flush-out arcs. Second, the three techniques are simultaneously captured in a single model for the first time. Third, the formalism enables modeling dependencies of the three techniques on various system features such as failure, load and time in the same framework. Further, our base FSPN model can be viewed as a generalization of most previous models in the literature. We show that these FSPNs can not only mimic previously published models but can also extend them. For one FSPN model, we present numerical results to illustrate their usage in deriving measures of interest.
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