Abstract
A classification model is proposed to allocate, search and match services in cloud environment for Service Composition and Optimal Selection (SCOS). Unlike cloud computing, the services in cloud manufacturing (CMfg) include real time manufacturing resources besides computing services, which makes CMfg environment complicated for allocation of services to the respective tasks. Thus, problem is not having adequate tools for the fast and effective searching and allocation of services for implementation of SCOS. The method described in this paper is to achieve SCOS by organizing the services by an approach named pedigree. For this method to be applied, calculation of semantic cosine distance along with analyzing relationship between different services are required to support the collaboration for managing and matching services in pedigree. Examples are done for service registration along with searching and selecting the services which shows this method to be effective for service composition and optimal selection.
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