Design of Video Compression Approach in Grid Environment

Abstract

Grid offers an optimal solution to problems requiring large storage requiring large storage and/or processing power. Grid provides direct access to computers, data, software and many other resources. Sharing between these resources is highly controlled and done with consensus of both resource providers and consumers. Video compression is a lengthy and compute intensive task, involving compression of video media from one format to another. Video compression refers t reducing the quantity of data used to represent digital video images, and it’s a combination of spatial image compression and temporal motion compensation. Video compression system maintains high picture quality while reducing its quantity by removing redundancies. In Grid computing the task is split up into smaller chunks and the resources of many computers in a network can be applied to a single problem at the same time independently. These factors make the distribution of video compression viable in Grid environment. This paper provides a discussion of design of video compression in Grid environment, Grid environment and its globus toolkit 4.0.