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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

Recommendation System for Service Integration and Composition Based on Policy Evaluation and Detection

S.Tiroumal Mouroughane, G.Amirthayogam

DOI: 10.17148/IJARCCE.2021.101231

Abstract:

Abstract: Service Oriented Architecture (SOA) is the latest popular paradigm for system integration and interoperation which revolutionized the distribution of applications over World Wide Web. A web service is the current technology used by SOA in the field of business processes. Where the services offered by the organization are overseen through the system called Change Management Framework (CMF). By this system any progressions for the Services offered by the Organization can be included, adjusted or supplanted as the service request offered by either the client or different business parties, hence it is useful for the organization to create itself by fulfilling the client necessities in a self-sufficient way. In order to offer value added service to the customer we need to integrate the different services. While integrating the various services we should be concise in business policy of on organization. In the event that the business policy is violated while integrating the services it will be precluded in the centre from securing the exchange. In this paper, we have displayed a strategy for distinguishing the business policy violation with Total Turing Machine (TTM). Keyword: - Service Oriented Architecture, Service Integration, Change Management Framework (CMF), Business Policy Violations, Total Turing Machine.

How to Cite:

[1] S.Tiroumal Mouroughane, G.Amirthayogam, “Recommendation System for Service Integration and Composition Based on Policy Evaluation and Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101231