Thursday 25th of April 2024
 

A New Bidding Based Algorithm for Resource Selection in Grid Environment


Esmaeil Pourazarm-Hajiaga and Saeed Parsa

A Grid system is comprised of large sets of heterogeneous and geographically distributed resources that are aggregated as a virtual computing platform for executing large-scale scientific applications. As the number of resources in Grid increases rapidly, selecting appropriate resources for tasks has become a crucial issue. The selection of resources that best fitting tasks in Grid environments is an essential and critical factor to system performance. To avoid single point of failure server overload problems, bidding provides an alternative means of resource selection in distributed systems. This paper proposes a resource selection algorithm in bidding based Grid environment to minimize the total time for task completion time arises when using non-reserved bidding algorithms. The result of Evaluation shows the task average completion time less than task average completion time in non-reserved bidding model.

Keywords: Grid Computing, Resource Selection, Matchmaking Model, Bidding Model, Resource Reservation

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ABOUT THE AUTHORS

Esmaeil Pourazarm-Hajiaga
Esmaeil Pourazarm-Hajiaga received the B.Sc. degree in Computer Engineering, Software engineering, from Islamic Azad University, Tabriz branch, Tabriz, Iran, in 2007, the M.Sc. degree in Computer Engineering, Software engineering from Islamic Azad University, Shabestar branch, Shabestar, Iran, in 2011. His research interests include Distributed systems, Computational Grid and Cloud Computing.

Saeed Parsa
Saeed Parsa received the BS in mathematics and computer Science from Sharif University of Technology, Iran, the MS degrees in computer science from the University of Salford at England, and the Ph.D. degree in computer science from the University of Salford at England. He is an associated professor of computer science at Iran University of Science and Technology. His research interests include software engineering, soft Computing and algorithms.


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