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Mining and Improving Composite Web Services Recovery Mechanisms

机译:挖掘和改进复合Web服务恢复机制

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摘要

Ensuring composite services reliability is a challenging problem. Indeed, due to the inherent autonomy and heterogeneity of Web services, it is difficult to predict and reason about the behavior of the overall composite service (CS). Generally, previous approaches develop, using their modeling formalisms, a set of techniques to analyze the composition model andcheck "correctness "properties. Although powerful, these approaches may fail in some cases in order to ensure CS-reliable executions, even if they formally validate its composition model. This is because properties specified in the studied composition model remain assumptions that may not coincide with the reality (i.e., effective CS executions). Sharing the same issue, we present a reengineering approach that starts from CS executions log to improve its recovery mechanisms. Basically, we propose a set of mining techniques to discover CS transactional behavior from an event-based log. Then, based on this mining step, we use a set of rules in order to improve its reliability.
机译:确保复合服务的可靠性是一个具有挑战性的问题。确实,由于Web服务固有的自治性和异构性,因此很难预测和推断整个复合服务(CS)的行为。通常,先前的方法使用它们的建模形式主义来开发一套技术来分析组成模型并检查“正确性”属性。尽管这些方法功能强大,但在某些情况下可能无法确保CS可靠的执行,即使它们正式验证了其组成模型也是如此。这是因为在所研究的合成模型中指定的属性仍然是可能与实际情况不一致的假设(即有效的CS执行)。共享相同的问题,我们提出了一种重新设计方法,该方法从CS执行日志开始,以改善其恢复机制。基本上,我们提出了一套挖掘技术来从基于事件的日志中发现CS交易行为。然后,基于此挖掘步骤,我们使用一组规则以提高其可靠性。

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