A Review on Integrated Multimedia Processing System using MapReduce in Cloud Computing
Ujwal N. Abhonkar, Sandip M. Walunj · 2016
Increasing use of social networking services (SNSs) on 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.