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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2280

Titre: New tasks scheduling strategy for resources allocation in Cloud Computing Environment
Auteur(s): Beghdad Bey, Kadda
Benhammadi, Farid
Sebbak, Faouzi
Mataoui, Mhamed
Mots-clés: resources allocation
Cloud Computing Environment
Date de publication: 2015
Collection/Numéro: 6th INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO'2015), At Istanbul, Turkey;
Résumé: Scientific applications are very complex and need massive computing power and storage space. Distributed computing environment has become a new technology to execute large-scale applications and Cloud computing is one of these technologies. Resource allocation is one of the most important challenges in the Cloud Computing. The optimally assigning of the available resources to the needed cloud applications is known to be a NP complete problem. In this paper, we propose a new task scheduling strategy for resource allocation for maximizing profit in cloud computing environment. We focus on minimizing the total executing time (makespan) of task scheduling and maximizing the resources exploitation. To show the interest of the proposed solution, experiments results are conducted on a simulation data set
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2280
Collection(s) :Communications Internationales

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