Work place: Dept. of Banking Technology, School of Management, Pondicherry University, India
E-mail: portchelvi_vasu@yahoo.co.in
Website:
Research Interests: Software Construction, Software Development Process, Software Engineering, Computer Architecture and Organization, Systems Architecture, Network Architecture
Biography
Portchelvi Venkatachalam born in Puducherry, received the B.Tech Degree in Computer Science Engineering from the Pondicherry Engineering College in 1997 and M.Tech Degree (Gold Medalist) in Computer Science Engineering from Pondicherry University, Pondicherry, India in 2007. She is currently working towards the Ph.D degree at the Department of Banking Technology, Pondicherry University. Her research Interests include Object-Oriented Software Engineering, Software Architecture and Service Oriented Architecture. She has published papers in Indian National, International Conferences and in Microsoft Digital Network Library. She has co-authored a book on Services Composition and Orchestration: Concepts and Approaches – Goal Directed Approach to Services Orchestration.
By V. Portchelvi V. Prasanna Venkatesan
DOI: https://doi.org/10.5815/ijitcs.2015.03.09, Pub. Date: 8 Feb. 2015
Composition of services provides value added service by combining existing services and is essential to meet the varying users’ requests. The need for on-demand, automated, on-the fly and failure resilient service composition led to various dynamic and adaptive service composition approaches. An overview of several existing composition approaches is provided and the limitations in these approaches are identified and depicted as research opportunities. It has been found that all these approaches behave in a rigid way to respond to the changing services environment. They are bridged by proposing a Goal-Directed Orchestration approach which employs an orchestration engine to provide flexibility in responding to the changes in dynamic services environment. To illustrate how our approach could work better than the other existing approaches, we discussed with a usage scenario in travel trip planning domain. Our proposed model is compared with the existing models based on a set of defined features.
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