基于重写的不确定性复合Web服务系统模型

Junfeng Wu, Huai-kou Miao
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引用次数: 0

摘要

网络延迟、故障和随机性使得复合web服务系统具有不确定性和分析困难。然而,概率模型可以更精确地捕获和抽象这些不确定性的来源,并支持统计分析和模拟。我们提出概率重写理论作为一个通用的语义框架,支持可以大规模并发的概率系统的高层次规范。通过以下两个附加断言(假设和承诺),概率重写理论有助于对服务集成的组合和验证进行推理。PMaude是一种基于重写方法的工具,可以在不确定性系统设计的早期阶段使用概率形式化建模和分析来发现许多错误和不一致,并为关键的组合web服务系统提供高保证。
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A Rewriting Based Model for Nondeterministic Composite Web Service System
The network delays, failures and randomization make the composite web service system nondeterministic and difficult to be analyzed. However a probabilistic model can capture and abstract these sources of non-determinism more precisely and enable statistical analysis and simulations. We propose probabilistic rewrite theories as a general semantic framework supporting high level specification of probabilistic systems that can be massively concurrent. With the following two additional assertions, assumption and commitment, probabilistic rewrite theories facilitate reasoning about the composition and verification of services integration. The PMaude, a rewriting methodology based tool in which probabilistic formal modeling and analysis can be used from the earliest phases of nondeterministic system design to uncover many errors and inconsistencies, and to reach high assurance for critical composite web service system.
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