BEA Based Service Execution Planning Approach for Web Service Composition

Maya Rathore¹

1. Dept. of Computer Science, Christian Eminent College, DAVV, Indore, India.

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.2 , pp.1-10, Apr-2022

Online published on Apr 30, 2022

Copyright Š Maya Rathore . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
A great attention has been received by Web service composition with promising service-based application development over the internet. Service oriented architectures (SOA) based applications are produced with the help of merging web services, which are independent and which lead to different dependencies between the candidate services. Managing such dependencies among web services is a difficult issue in composing web services dynamically, once there is sizable amount of web services. Existing methods for service composition are unable to create best possible service composition plan. Also, the time complexity of service composition increases tremendously. A Bully election algorithm-based service execution planning method is proposed in this paper to analyze dependency between heterogeneous services and generate automatic service execution plan. Its sub-components are service selection and optimizer, QoS monitoring and evaluation, QoS classification model and service ranking, service reputation predictor and service composer. This approach helps to recognize the controller web service for the execution of dependent web services. The working of presented approach can be shown by considering a real-world case study. Experimental result is helpful in producing reliable and faster service composition with less service composition time and cost by considering only reliable services on the execution process.

Key-Words / Index Term :
Web services; SOA; Bully election algorithm; Service selection; QoS, Service ranking; Web service composition

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