2010Unpublished venueRequires access

Scheduling Grid Applications on Clouds

Cesar G. Chaves, Daniel Macêdo Batista, Nelson L. S. da Fonseca

Open publisher page 9 citations

Abstract

Grid computing emerged as a computing paradigm to take advantage of the enormous availability of computing and communication resources in the Internet. Cloud computing succeeded grid computing as a new computer paradigm, offering resource transparency to the computation of user demands. In cloud computing, virtualization techniques are central to the provisioning of resources in clouds. This paper introduces a scheduler for grid applications in clouds which takes into account not only resource demands, but also software requirements of the applications. Moreover, it accounts for network link availability that has been widely neglected in the literature of grid scheduling.Experiments show the efficacy of the scheduler in different scenarios.

About this research paper

What this paper is about

Grid computing emerged as a computing paradigm to take advantage of the enormous availability of computing and communication resources in the Internet. Cloud computing succeeded grid computing as a new computer paradigm, offering resource transparency to the computation of user demands. In cloud computing, virtualization techniques are central to the provisioning of resources in clouds. This paper introduces a scheduler for grid applications in clouds which takes into account not only resource demands, but also software requirements of the applications. Moreover, it accounts for network link availability that has been widely neglected in the literature of grid scheduling.Experiments show the efficacy of the scheduler in different scenarios.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Grid computing emerged as a computing paradigm to take advantage of the enormous availability of computing and communication resources in the Internet. Cloud computing succeeded grid computing as a new computer paradigm, offering resource transparency to the computation of user demands. In cloud computing, virtualization techniques are central to the provisioning of resources in clouds. This paper introduces a scheduler for grid applications in clouds which takes into account not only resource demands, but also software requirements of the applications. Moreover, it accounts for network link availability that has been widely neglected in the literature of grid scheduling.Experiments show the efficacy of the scheduler in different scenarios.

Key concepts: Computer science, Cloud computing, Distributed computing, Grid computing, Provisioning, Virtualization, Grid, Utility computing

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