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Resource Allocation and Provisioning in Computational Mobile Grid

Resource Allocation and Provisioning in Computational Mobile Grid

Dinesh Prasad Sahu, Karan Singh, Shiv Prakash
Copyright: © 2015 |Volume: 6 |Issue: 2 |Pages: 24
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466677500|DOI: 10.4018/ijaec.2015040101
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MLA

Sahu, Dinesh Prasad, et al. "Resource Allocation and Provisioning in Computational Mobile Grid." IJAEC vol.6, no.2 2015: pp.1-24. http://doi.org/10.4018/ijaec.2015040101

APA

Sahu, D. P., Singh, K., & Prakash, S. (2015). Resource Allocation and Provisioning in Computational Mobile Grid. International Journal of Applied Evolutionary Computation (IJAEC), 6(2), 1-24. http://doi.org/10.4018/ijaec.2015040101

Chicago

Sahu, Dinesh Prasad, Karan Singh, and Shiv Prakash. "Resource Allocation and Provisioning in Computational Mobile Grid," International Journal of Applied Evolutionary Computation (IJAEC) 6, no.2: 1-24. http://doi.org/10.4018/ijaec.2015040101

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Abstract

Recent years have seen drastic increase in number of mobile devices which are becoming popular not only by their communication flexibility but also for their computational capability. A collection of mobile devices together form a grid. In the proposed model, it is assumed that the set of jobs are accumulated to the primary machine, though they might have been submitted anywhere in the grid. It is also assumed that each job consists of one or more number of sub jobs. Mobile Grid comprises with number of machines and speed of execution of individual processor may be different. Each machine can handle fixed number of sub jobs. A set of jobs accumulated at the primary machines are distributed to different secondary machines. A rigorous set of experiment has been carried out by simulating the model using java language on Eclipse IDE integrated with Gridsim. The model has been tested with various numbers of inputs in different cases and result has been observed. The authors found some of the key findings of the experiments. In most of the cases, resource allocation is better when mobile agent is employed for the work.

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