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Green Energy Model for Grid Resource Allocation: A Graph Theoretic Approach

Green Energy Model for Grid Resource Allocation: A Graph Theoretic Approach

Achal Kaushik, Deo Prakash Vidyarthi
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 22
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466654440|DOI: 10.4018/ijghpc.2014040104
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MLA

Kaushik, Achal, and Deo Prakash Vidyarthi. "Green Energy Model for Grid Resource Allocation: A Graph Theoretic Approach." IJGHPC vol.6, no.2 2014: pp.52-73. http://doi.org/10.4018/ijghpc.2014040104

APA

Kaushik, A. & Vidyarthi, D. P. (2014). Green Energy Model for Grid Resource Allocation: A Graph Theoretic Approach. International Journal of Grid and High Performance Computing (IJGHPC), 6(2), 52-73. http://doi.org/10.4018/ijghpc.2014040104

Chicago

Kaushik, Achal, and Deo Prakash Vidyarthi. "Green Energy Model for Grid Resource Allocation: A Graph Theoretic Approach," International Journal of Grid and High Performance Computing (IJGHPC) 6, no.2: 52-73. http://doi.org/10.4018/ijghpc.2014040104

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Abstract

The computational grid helps in faster execution of compute intensive jobs. Many characteristic parameters are intended to be optimized while making resource allocation for job execution in computational grid. Most often, the green energy aspect, in which one tries for better energy utilization, is ignored while allocating the grid resources to the jobs. The conventional systems, which propose energy efficient scheduling strategies, ignore other Quality of Service parameters while scheduling the jobs. The proposed work tries to optimize the energy in resource allocation to make it a green energy model. It explores how effectively the jobs submitted to the grid can be executed for optimal energy uses making no compromise on other desired related characteristic parameters. A graph theoretic model has been developed for this purpose. The performance study of the proposed green energy model has been experimentally evaluated by simulation. The result reveals the benefits and gives an insight for an energy efficient resource allocation.

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