服务识别方法的调查-分类框架,技术状况和比较

Dominik Birkmeier, Sebastian Klöckner, Sven Overhage
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引用次数: 18

摘要

由于其模块化特性,为业务应用程序采用面向服务的体系结构(SOA)有许多优点。但是,SOA的成功引入取决于对底层新开发范例的有效的系统支持。正如当前大量文献所说明的那样,特别是用于识别合适服务(可作为业务应用程序的构建块)的系统方法的开发,是当前关注的焦点。然而,文献中提出的不同方法在其概念和程序方面存在显著差异。因此,在本文中,我们分析了当前服务识别技术的现状,并强调了所提出方法之间的差异。为了评估所提出的服务识别方法,我们引入了一个带有区分因子的分类方案。我们用这个方案来比较和分析各种方法。基于这种比较,我们详细阐述了各个方法的优缺点,并由此推导出对实践的影响。最后,我们确定了未来有待解决的研究领域,以进一步推进服务识别的最新技术。
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A Survey of Service Identification Approaches - Classification Framework, State of the Art, and Comparison
Due to their modular nature, the adoption of Service Oriented Architectures (SOA) for business applications promises many advantages. The successful introduction of SOA depends on an efficient methodical support of the underlying new development paradigm, though. As the amount of current literature illustrates, especially the development of systematic methods for the identification of suitable services, which can serve as building blocks of business applications, is presently a focal point of interest. The different approaches presented in literature, however, significantly diverge with regard to their concepts and procedures. In this paper, we therefore analyse the current state of the art in service identification and highlight differences between the presented approaches. To evaluate proposed service identification approaches, we introduce a classification scheme with distinguishing factors. We use this scheme to compare and analyse the various approaches. Based on this comparison, we elaborate on individual strengths and weaknesses of approaches from which implications for practice are deduced. Finally, we identify areas of future research that remain to be addressed in order to further advance the state of the art in service identification.
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