Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 13, Issue 3


Published
on

June 6, 2022


Pages

1173-1185


DOI

Article

GSS : Global Services Selection approach


Authors

Mansour Mekoura Affiliation:
LGACA Laboratory, University of Saida, Dr. Taher Moulay, Algeria
, Abdelkrim Houacine Affiliation:
LGACA Laboratory, University of Saida, Dr. Taher Moulay, Algeria
and Abdelkader Mostefai Affiliation:
Department of Computer Science, University of Saida, Dr. Taher Moulay, Algeria


Abstract

The most well-known use of service-oriented architectures has given rise to several challenging research issues. One of these is the ability to recursively create a composite service as a process of other already available services, which are created by various companies and offer a variety of functionalities. Due to the ever -growing number of functionally identical services supplied on the web, it is crucial to identify them using well defined non -functional criteria. This needs an efficient method of selecting such services to compose. In this paper, adopting a service process and directed acyclic graph, we present an efficient and scalable approach to address the issue. Services are chosen for their composition based on both positive and negative QoS qual ities, aiming to optimize user satisfaction. Experimental results show that our proposal scales very well regarding the huge amount of candidate services. It is less complex, and it depends linearly on the services implied in the composition.


Keywords

Service, Selection, Composition, QoS, Global Optimization


Citation

Mekoura, M., Houacine, A., & Mostefai, A. (2022). GSS : Global services selection approach. Turkish Journal of Computer and Mathematics Education, 13(3), 1173–1185.

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