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DOI: 10.14569/IJACSA.2016.070320
PDF

Multi-Agent Based Model for Web Service Composition

Author 1: Karima Belmabrouk
Author 2: Fatima Bendella
Author 3: Maroua Bouzid

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 3, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The evolution of the Internet and the competitiveness among companies were factors in the explosion of Web services. Web services are applications available on the Internet each performing a particular task. Web users often need to call different services to achieve a more complex task that can’t be satisfied by a simple service. And users often prefer to have the best services responding to their requests. In this context, we should measure the Quality of Service (QoS) which is a very important aspect of Web services in order to offer to the user the best services. “How can we ensure the composition of different services to respond the user request” is the first problem that we contribute to resolve, proposing a multi-agent based model for the automatic planification of Web services. And “guarantee the required quality of the composite Web services” is a complex task regarding the unpredictable nature and dynamics of composite Web services, so our contribution to remedy to this problem consists of the use of two classes of quality attributes. The first one considers generic and the second contains specific attributes.

Keywords: Agents; Model; Quality of Service; Service composition; Web services

Karima Belmabrouk, Fatima Bendella and Maroua Bouzid, “Multi-Agent Based Model for Web Service Composition” International Journal of Advanced Computer Science and Applications(IJACSA), 7(3), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070320

@article{Belmabrouk2016,
title = {Multi-Agent Based Model for Web Service Composition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070320},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070320},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {3},
author = {Karima Belmabrouk and Fatima Bendella and Maroua Bouzid}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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