Abstract
One of the main challenges in service oriented architecture is the optimal selection and ranking of web services. The process of selecting relevant services from a service repository in a heterogeneous environment is a difficult task. Use of different search engines help in selection process by efficiently searching the service repository (like UDDI), peer-to-peer networks, service portals etc. Fixing up appropriate services is necessary because composition of these services leads to the development of a particular application. In this paper, soft computing technique such as ANN and Fuzzy logic are employed for optimal selection of web service with the help of the requisite attributes related to quality of service. A comparative study of performance of both the techniques based on error parameter has been made in order to help in critical assessment.
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Naik, D.K., Kumari, S., Rath, S.K. (2015). Application of Soft Computing Technique for Web Service Selection. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_21
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DOI: https://doi.org/10.1007/978-3-319-14977-6_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14976-9
Online ISBN: 978-3-319-14977-6
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