E-Content generally requires media components like Graphics/Video in addition to Texts. Independent Learning objects of different sizes having different media components may be alternatives to traditional single large e-content file. The main objective of this paper work is to optimize the load harmonization using media parameters based on grid process running time. This Proposed work is classified into four categories such as estimating grid process running time, harmonization while loading, clustering the media parameters based on instructional and media parameters and processing to optimize the load balancing. The main goal is to load the same shareable media object for the massive user on a particular time using harmonization and clustering. This proposed work produces less grid process running time for the same media object even if the number of the user is larger at the same time.

Harmonization, Victimization, Clustering, Optimization

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