Survey and Analysis of Web Service Composition Strategies: A State of Art Performance Study

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Abstract

Background/Objectives: To analyze the functions and merits of web service composition and provide services to many number of users at a time. Methods/Statistical Analysis: The standard-based approach whichused to connects the web service to create the business processes which are of higher level. There are various approaches for composing the web services. Web service integrates various web applications by using languages namely WSDL, XML, WSFL etc. Findings: In this research, Web Service Composition (WSC) aims to organize numerous services to fulfill the user needs. It is one of the flexible way of integration of applications and resource sharing. The algorithm used by web service composition are Evolutionary algorithm, Ant Colony Optimization, Genetic algorithm, Particle Swarm algorithm, Branch and Bound for Execution Plan Selection (BB4EPS) algorithm, Join-Idle-Queue (JIQ) algorithm and Two-phase algorithm. Through the web service leads to provide services to more than single user. Applications/Improvements: When solving the web service composition problem, composing a sequence of web services is converted into finding a chain of actions. Automated planning technique uses two steps for web service composition dynamically. In this approach, WSC problem is taken as input and translated into WSC planning problem. Web service composition explore their functions through the online process and business needs.

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Amudhavel, J., Prabhu, U., Inbavalli, P., Moganarangan, N., Ravishankar, V., Baskaran, R., & Dhavachelvan, P. (2016). Survey and Analysis of Web Service Composition Strategies: A State of Art Performance Study. Indian Journal of Science and Technology, 9(11). https://doi.org/10.17485/ijst/2016/v9i11/89265

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