A Novel Self-Organization Approach for Stigmergy Based Cloud Service Composition

Author:

Zertal Soumia1,Batouche Mohamed2,Benharkat Aïcha-Nabila3,Benfenatki Hind3

Affiliation:

1. Department of Computer Science, Larbi Ben M'hidi University, Oum el Bouaghi, Algeria and Constantine 2 University, Constantine, Algeria

2. Department of Computer Science, Constantine 2 University, Constantine, Algeria

3. LIRIS-CNRS (UMR 5205), University of Lyon, Villeurbanne, France

Abstract

This article describes how cloud computing and the convergence toward “Everything as a service” have encouraged the proliferation of services ready for use. These facilities have increased the requests of the companies for the development of the applications. In this context, where the reusability is needed, cloud service composition techniques are widely used. However, traditional centralized service composition techniques are not sufficient to address the needs of applications in highly dynamic and open environments. Early attempts for service composition models in decentralized environments have been proposed, but they are limited by their ability to adapt when deploying in highly dynamic and open environments. In this paper, the authors use Stigmergic-based self-organization mechanisms inspired from nature to model the decentralized service interactions and handle service composition in highly dynamic and open environments.

Publisher

IGI Global

Subject

Decision Sciences (miscellaneous),Computational Mathematics,Computational Theory and Mathematics,Control and Optimization,Computer Science Applications,Modeling and Simulation,Statistics and Probability

Reference35 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Hybrid Optimization-Based Approach for Efficient Development of Business-Applications in Cloud;International Journal of Information Systems in the Service Sector;2020-10

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