Special Issue Article
Dynamic Resource Allocation And Distributed Video Transcoding Using Hadoop Cloud Computing
Research work is carried out to design and optimize video transcoding using Hadoop. Cloud computing became quite a mature technology and is being adopted for every kind of applications in the real world; video transcoding is one of them. In this project, I propose a Hadoop Map Reduce based Distributed Video Transcoding System in a cloud computing environment that transcodes various video codec formats into the MPEG-4 video format. The cloud server provides and manages the applications and also storing the data remotely in cloud. Thus, the encoding time to transcode large amounts of video content is exponentially reduced, facilitating a transcoding function..I have proposed the solution that how video transcoding becomes smart and speeds-up due to the efficiency of cloud computing and allocate resources dynamically in cloud storage.