document: Performance enhancement of scheduling algorithms in clusters and grids using improved dynamic load balancing techniques This paper describes the research work done for during PhD study . Cluster computing , grid computing and cloud computing are distributed computing environments ( DCEs ) widely accepted for the next generation Web based commercial and scientific applications . These applications work around the globally distributed data of petabyte scale that can only be processed by the aggregating the capability of globally distributed resources . The resource management and process scheduling in large scale distributed computing environment are a challenging task . In this research work we have devised new scheduling algorithms and resource management strategies specially designed for the cluster and grid cloud and peer-to-peer computing . The research work finally presented the distributed computing solutions to one scientific and one commercial application viz . e-Learning and data mining .
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