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dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorKumar, D-
dc.contributor.authorJena, S K-
dc.identifier.citationInternational Conference on High Performance Computing and Applications (ICHPCA), Bhubaneswar, 22-24 Dec,2014en_US
dc.descriptionCopy right belongs to proceeding publisheren_US
dc.description.abstractThe Load balancing problem on Heterogeneous Distributed Computing System (HDCS) deals with allocation of tasks to compute nodes, so that computing nodes are evenly loaded. Dynamic load balancing problem to assign tasks on HDCS is presented as a linear programming problem to minimize the makespan. Different greedy resource allocation algorithms are presented for load balancing on HDCS with tasks as Expected Time to Compute(ETC) matrix. The relative performance of the four heuristic algorithms under different circumstances has been simulated on two different HDCS using in house simulator. The simulation results show that the greedy based scheduling policy has the significant impact on the system heterogeneityen_US
dc.subjectExpected time to computeen_US
dc.subjectGreedy algorithmen_US
dc.subjectHeterogeneous distributed systemen_US
dc.subjectLoad balancingen_US
dc.titlePerformance Analysis of Greedy Load Balancing Algorithms in Heterogeneous Distributed Computing Systemen_US
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