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A New SOA Service Extraction Methodology Based on eTOM and Clustering Algorithm

Author: NiZuo
Tutor: ZhangZhongNeng
School: Shanghai Jiaotong University
Course: Computer Science and Engineering
Keywords: Service-Oriented Architecture Services refining Semantic association Clustering N.G. algorithm eTOM framework
CLC: TP311.52
Type: Master's thesis
Year: 2007
Downloads: 70
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Abstract


This article focused on SOA (Service Oriented Architecture, a service-oriented architecture ) services refining automated analysis and applied research . Stage of enterprise IT architecture SOA has already begun , but still relatively scarce specific SOA services refining means of the vast majority of the analysis process in particular, the lack of considerations for the analysis of the characteristics of object semantics . To solve this problem , this paper proposed a set of SOA services refining process combines enterprise business semantics . Firstly, the process of enterprise IT systems support processes as the basis of the analysis and implementation of the semantics of the business process is defined and the definition of standardized the eTOM semantics associated IT systems to support the process through the introduction of well - known industry standard eTOM framework . Secondly, in order to be associated with the semantic properties brought to the analysis of the IT architecture and SOA services refining process to paper defines a series of quantitative algorithm with weight values ??statistically NG cluster algorithm improvements . Improved algorithms during operation fully consider the degree of correlation between the data interactive relations and semantic characteristics of the dual role of IT systems , thereby reasonable scientifically applied to the analysis of the enterprise IT architecture . Then, the paper use improved NG Clustering Algorithm for enterprise IT data interaction connected graph implementation of the clustering process and complete SOA services refining . Finally , in order to demonstrate the effect of the Improvement and final services refining , paper introduced a real case the and Clustering algorithm improved the qualitative and quantitative analysis . In writing during a full support analysis software , this analysis method has strong operational . Research significance of this paper is that the use of the SOA service automation refined Clustering algorithm to achieve a certain degree . The same time , compared to a purely mathematical analysis , the method of this paper emphasizes the consideration of business semantics .

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