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Modeling Measures for Service Interpretation in Discoverability of Service Oriented Architecture

Increase in number of web services, finding out the exact web service from service registry that fulfil the consumer requirements has become a greater challenge in recent days. Interpretation of appropriate service from the service registry needs a complete description of the service. Researchers ha...

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Bibliographic Details
Published in:Procedia, social and behavioral sciences social and behavioral sciences, 2013-02, Vol.73, p.128-135
Main Authors: Shanmugasundaram, G., Venaktesan, V. Prasanna, Devi, C. Punitha
Format: Article
Language:English
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Summary:Increase in number of web services, finding out the exact web service from service registry that fulfil the consumer requirements has become a greater challenge in recent days. Interpretation of appropriate service from the service registry needs a complete description of the service. Researchers have discussed basic forms of representing information about services through functional aspects that help in identifying the required web service. This information addressed does not fulfil the consumer requirements normally; hence an extended registry has to be provided with additional details of non- functional aspects in order to locate the exact service. The effect of these attributes on discovering a required service has to be measured. This paper focuses on formulating metrics for interpretation of services based on functional and non-functional aspects of a service. From the literature we have identified features for interpretation. These features have been considered as a focal point and a metric suite is proposed with the measures like described semantic elements, defined service operation, functional data value and so on. Based on these metrics, a measure for service interpretability is proposed. To verify the effectiveness of our proposed metrics, an experiment has been designed and carried out. The result of the proposed metrics shows the effectiveness and improvement of service discovery which leads to better service composition and execution.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2013.02.032