Efficient and adaptive discovery techniques of Web Services handling large data sets

Attempts have been made concerning the search and finding of a Web Service based on keywords and descriptions. However, no work has been done concerning the efficient selection of the appropriate Web Service instance in terms of quality and performance factors at the moment of the Web Service consum...

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Bibliographic Details
Published inThe Journal of systems and software Vol. 79; no. 4; pp. 480 - 495
Main Authors Makris, Christos, Panagis, Yannis, Sakkopoulos, Evangelos, Tsakalidis, Athanasios
Format Journal Article
LanguageEnglish
Published New York Elsevier Inc 01.04.2006
Elsevier Sequoia S.A
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Summary:Attempts have been made concerning the search and finding of a Web Service based on keywords and descriptions. However, no work has been done concerning the efficient selection of the appropriate Web Service instance in terms of quality and performance factors at the moment of the Web Service consumption attempt. Such factors may include execution time and response time. The proposed approach adaptively selects the most efficient WS among possible different alternatives with real-time, optimized and countable factors-parameters. Implementation issues and case study experiments are presented along with the corresponding results. Additionally, an optimal selection algorithm for series of Web Services requests is proposed. Finally, conclusions and future steps are discussed.
ISSN:0164-1212
1873-1228
DOI:10.1016/j.jss.2005.06.002