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A Novel Physics Inspired Approach for Web Service Composition

A Novel Physics Inspired Approach for Web Service Composition

Tanveer Ahmed, Abhishek Srivastava
Copyright: © 2014 |Volume: 11 |Issue: 2 |Pages: 18
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781466657458|DOI: 10.4018/ijwsr.2014040104
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MLA

Ahmed, Tanveer, and Abhishek Srivastava. "A Novel Physics Inspired Approach for Web Service Composition." IJWSR vol.11, no.2 2014: pp.67-84. http://doi.org/10.4018/ijwsr.2014040104

APA

Ahmed, T. & Srivastava, A. (2014). A Novel Physics Inspired Approach for Web Service Composition. International Journal of Web Services Research (IJWSR), 11(2), 67-84. http://doi.org/10.4018/ijwsr.2014040104

Chicago

Ahmed, Tanveer, and Abhishek Srivastava. "A Novel Physics Inspired Approach for Web Service Composition," International Journal of Web Services Research (IJWSR) 11, no.2: 67-84. http://doi.org/10.4018/ijwsr.2014040104

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Abstract

Service oriented architecture has revolutionized the way a traditional business process is executed. The success of this architecture is Indue to the composition of multiple heterogeneous services at runtime. Web service composition is a mechanism where several web services are combined at runtime to build a complex application for a user. It is one of the most sought after processes in the context of semantic web. But, composition of web services at runtime is a difficult task owing to the availability of multiple service providers offering the same functionality. The process if exasperated by due conflicting preferences of a service consumer. In this paper, the authors address the issue of selecting a service based on Quality of Service (QoS) attributes. They utilize concepts customized from physics to create an environment that facilitates the selection of a best service from the set of similar services. The technique not only facilitates the selection of the service with the best QoS attributes, but distributes the load among expeditiously. Here in this paper, the authors concentrate on minimizing and equitably balancing the waiting time for a user. They conduct in silico experiments on multiple workflows to demonstrate the efficacy of the proposed technique to balance load efficiently among similar service offerings.

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