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

Autor: Aïcha-Nabila Benharkat, Soumia Zertal, Hind Benfenatki, Mohamed Batouche
Přispěvatelé: LIRE laboratory, Constantine, University of Constantine, University of Larbi Ben M'hidi, Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: International Journal of Applied Metaheuristic Computing
International Journal of Applied Metaheuristic Computing, IGI Global Publisher, 2018, 9 (3), pp.40-74. ⟨10.4018/IJAMC.2018070103⟩
ISSN: 1947-8283
1947-8291
DOI: 10.4018/IJAMC.2018070103⟩
Popis: International audience; 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.
Databáze: OpenAIRE