2009 First International Conference on Advanced Computing 2009
DOI: 10.1109/icadvc.2009.5378268
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Hierarchical load balancing scheme for computational intensive jobs in Grid computing environment

Abstract: Decrease in hardware costs and advances in computer networking technologies have led to increased interest in the use of grid computing systems. One of the biggest issues in such systems is the development of effective techniques/algorithms for the distribution of the jobs/load of a grid application on multiple resources to achieve goals such as minimizing execution time, minimizing communication delays, maximizing resource utilization and maximizing throughput. The Grid computing infrastructure load balancing… Show more

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Cited by 22 publications
(7 citation statements)
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“…Three methodologies were designed namely, (i) architecture for mobile agents that covers the mobile nodes counts; (ii) architecture to neutralize the loads among the mobile nodes; (iii) architecture for providing security to the mobile agents. Similar study was extended by (Malarvizhi and RhymendUthariaraj, 2009) which provided a hierarchical computing model for all jobs in the grid environment. Based on the information given by the present nodes, the input tasks were allocated.…”
Section: Related Workmentioning
confidence: 99%
“…Three methodologies were designed namely, (i) architecture for mobile agents that covers the mobile nodes counts; (ii) architecture to neutralize the loads among the mobile nodes; (iii) architecture for providing security to the mobile agents. Similar study was extended by (Malarvizhi and RhymendUthariaraj, 2009) which provided a hierarchical computing model for all jobs in the grid environment. Based on the information given by the present nodes, the input tasks were allocated.…”
Section: Related Workmentioning
confidence: 99%
“…Adaptive cat swarm optimization (ACSO) algorithm [15] has been proposed by another research group but they have not mentioned how it will work for dependent task. Many researchers have worked to reduce the problem of load migration using heuristic and meta heuristic method [16], [17]. For non-pre-emptive independent tasks on VMs, load balancing based on honeybee behavior [18] has been proposed.…”
Section: Related Workmentioning
confidence: 99%
“…A load distributor's evaluation process is usually specified by studying the status and specifications of VMs. Criteria used in this field include: 1) Degree of Imbalance (DI): This criterion is defined to evaluate the balance of time and resources (memory, bandwidth and processor use) [22].…”
Section: Load Balancing Efficiency Evaluation Criteriamentioning
confidence: 99%