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Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 79 - Number 8
Year of Publication: 2013
Prakash Kumar
Pradeep Kumar
Vikas Kumar

Prakash Kumar, Pradeep Kumar and Vikas Kumar. Article: Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach. International Journal of Computer Applications 79(8):46-50, October 2013. Full text available. BibTeX

	author = {Prakash Kumar and Pradeep Kumar and Vikas Kumar},
	title = {Article: Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {79},
	number = {8},
	pages = {46-50},
	month = {October},
	note = {Full text available}


Grid system is interconnected computer systems where the machines utilize the same resources collectively. Grid computing usually consists of a main computer that distributes information and tasks to a group of networked computers to accomplish a common goal. The goal of Grid computing is to create the delusion of a simple but large and authoritative self-managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources. A load balancing strategy chooses the resources that should be used to run a job in order to improve a given performance measure. Backfill is a scheduling optimization technique which allows a scheduler to make better use of available resources by running jobs out of order. Enabling backfill will increase system utilization and improve turnaround time by an even greater amount. Objective of the grid environment is to achieve high performance computing by optimal usage of geographically distributed and heterogeneous resources.


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