Request and Redirection in Content Delivery Network using Load Balancing System

A Cloud technology provides a new opportunity for Video Service Providers to running a virtual machine and hosting video applications in a cost effective manner. Under this project, a VSP may rent virtual machines VMfrom multiple geodistributed data centers that are close to video request to run their services. Cloud Data Center are located in different location.Based on the user request we predict geographical location request and Redirect the nearby data centers. If the server traffic is high then by using load balancing technology their request is redirect to next nearby Cloud data center in virtual machine. A cloud provider deploys its applications in geographically distributed CDNs to improve Stability and Reliability. For cost and performance, each CDN provides services through multiple CDN that deliver traffic between millions of user and the CDNs provider. The geographical diversity of the bandwidth and energy cost brings the CDCs provider a big challenge of how to minimize the bandwidth and energy cost of the CDCs provider. So that the performance will increase and traffic delay is low. We propose a systematic method called Cost Aware Workload Scheduling and Admission Control for Distributed Cloud Data Center(CAWSAC). This scheduling strategy can intelligently dispatch requests, and achieve lower cost and higher throughput for the CDNs provider.