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Dependability and Flexibility Centered Approach for Composite Web Services Modeling

机译:以可靠性和灵活性为中心的组合Web服务建模方法

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The interest surrounding the Web services (WS) composition issue has been growing tremendously. In the near future, it is awaited to prompt a veritable shift in the distributed computing history, by making the Service-Oriented Architecture (SOA) a reality. Yet, the way ahead is still long. A careful investigation of a major part of the solutions proposed so far reveals that they follow a workflow-like composition approach and that they view failures as exceptional situations that need not to be a primary concern. In this paper, we claim that obeying these assumptions in the WS realm may constrain critically the chances to achieve a high-dependability level and may hamper significantly flexibility. Motivated with these arguments, we propose a WS composition modeling approach that accepts failures inevitability and enriches the composition with concepts that can add flexibility and dependability but that are not part from the WS architecture pillars, namely, the state, the transactional behavior, the vitality degree, and the failure recovery. In addition, we describe a WS composition in terms of definition rules, composability rules, and ordering rules, and we introduce a graphical and a formal notation to ensure that a WS composition is easily and dynamically adaptable to best suit the requirements of a continuously changing environment. Our approach can be seen as a higher level of abstraction of many of the current solutions, since it extends them with the required support to achieve higher flexibility, dependability, and expressiveness power.
机译:围绕Web服务(WS)组成问题的兴趣已经大大增长。在不久的将来,通过使面向服务的体系结构(SOA)成为现实,将促使分布式计算历史发生真正的转变。然而,未来的路还很长。到目前为止,对所提议解决方案的主要部分的仔细研究表明,它们遵循类似于工作流的合成方法,并且他们将失败视为例外情况,而不必将其视为主要问题。在本文中,我们声称在WS领域中遵循这些假设可能会严重限制实现高依赖级别的机会,并且可能会严重阻碍灵活性。基于这些论点,我们提出了一种WS组合建模方法,该方法接受失败的必然性,并通过可以增加灵活性和可靠性但不属于WS体系结构支柱的概念(即状态,事务行为,生命力)的概念丰富组合。度,以及故障恢复。此外,我们根据定义规则,可组合性规则和排序规则来描述WS组成,并引入图形和形式表示法,以确保WS组成可以轻松,动态地适应于最适合不断变化的需求环境。我们的方法可以看作是许多当前解决方案的更高层次的抽象,因为它为所需的支持扩展了它们,以实现更高的灵活性,可靠性和表达能力。

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