A Review on Integrated Multimedia Processing System using MapReduce in Cloud Computing
Abstract
Internet has caused sharing of multimedia data at large scale.
Processing large amount of multimedia data puts considerable
load on computing resources. For better optimization of
computing resources, the multimedia data needs to be
processed efficiently. The Proposed system processes
multimedia data such as image and video in distributed and
parallel cloud computing environment thereby minimizing
load on computing resources. Images are resized and
converted in required form. Videos are converted into frames
and processed without losing the quality. Proposed system
uses combination of MapReduce framework and cloud
computing for distributed and parallel processing of
multimedia data. HDFS is used for storage. Timely and costeffective
processing of large multimedia data sets optimizes
computing resources.
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