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dc.contributor.authorChandra, Pushpendra Kumar-
dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorJena, S K-
dc.identifier.citation50th Technical Review of Institution of Engineers, Orissa State Centre, pp. 113-118, 2009en
dc.descriptionCopyright for the paper belongs to IEen
dc.description.abstractThe goal of load balancing is to assign to each node a number of tasks proportional to its performance. Many load balancers have been proposed that deal with applications with homogeneous tasks; but, applications with heterogeneous tasks have proven to be far more complex to handle. Load balancing techniques play a very important role in developing highperformance cluster computing platforms. Many load balancing polices achieve high system performance by increasing the utilization of CPU, memory, or a combination of CPU and memory. However, these load-balancing policies are less effective when the workload comprises of a large number of I/O-intensive tasks and I/O resources exhibit imbalanced load. The I/O intensive tasks running on a heterogeneous cluster needs effective usage of global I/O resources. We have proposed a loadbalancing scheme based upon system heterogeneity and migrate I/O-intensive tasks to the fastest processor. The proposed load balancing scheme can minimizes the average slow down of all parallel jobs running on a cluster and reduces the average response time of the jobs.en
dc.format.extent128043 bytes-
dc.publisherIE, Indiaen
dc.subjectHeterogeneous clusteren
dc.subjectI/O-intensive tasken
dc.subjectLoad balancingen
dc.titleModeling and Analysis to Estimate the Performance of Heterogeneous Clusteren
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