Load balancing in multimedia system using generic and Fibonacci approach

Cloud computing is collection of distributed hosts which allow services on demand to user. The service that provide to the user will include multimedia such as image/video retrieval. More number of users demands various multimedia computing resources and storage services through internet at same time in order to resolve this cloud based multimedia system emerged. The CMS will receives client´s request for multimedia service task through resource manager and assign those task requests to different server clusters according to the characteristics of the requested tasks. In the existing system genetic algorithm is used for resource allocation where the videos get spitted and they are uploaded to server where the resource manager will retrieve the video files which has the drawbacks as it consumes more time and increase complexity. In the proposed system Fibonacci based splitting strategy used to split a video file into number of chunks that allows to reduce the delay, optimize the resource utilization and increases the performance by fast video download.