Optimization Of Multimedia Big Data Over Cloud Architecture

Abstract

Multimedia servers are quite difficult to handle when the frequency of data exchange is too large. In todays scenario multimedia industry is growing rapidly. Multimedia servers have lot of other application with multimedia broadcasting like handling of such big video files , retrival of files when query fired by user , securing the communication etc. One of the major application of multimedia server is to broadcast 3-D videos over network. Holography is a emerging technology in the field of image projection and it is one of the main source for multimedia server as raw data. 3D movies are kind of holographic projection over a screen. Holography is a technique of projecting 3D images over air or on any screen creating a virtual reality environment of presence of that object.Usually 3D videos are quite large in data size then regular images. Similarly 3D motion pictures comprise of huge dataset behind it to plot the color pixel. To handle such large dataset is tedious task. Various frameworks are available to handle such large datasets. In a server system various platforms are available to handle and use such datasets quite quicker. Cloud architecture provides flexible solution for implementing such systems and to minimize the work by implementing it by parallel manner over different computer systems. It also provides the flexibility of remote access. Instances can be created automatically and assigned to computing nodes. Horton framework does the job of making parallel processes.Horton also support hadoop to handle large data.Thus the proposed work is intended to provide solution for huge data over cloud. Opensource Freeware Opennebula is proposed to work with software packages like FFmpeg using programming with Java and shell scripting. Combination of such architecture to optimize the working of multimedia servers by scheduling video retrivals over cloud. Improving extraction based on network parameters will boost the performance of multimedia server.