Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 30 March,2016 Pages:609-614
A Cloud computing provides a new opportunity for Video Service Providers (VSP) to running compute-intensive video applications in a cost effective manner. Under this paradigm, a VSP may rent virtual machines (VMs) from multiple geo-distributed datacenters that are close to video requestors to run their services. As user demands are difficult to predict and the prices of the VMs vary in different time and region, optimizing the number of VMs of each type rented from datacenters located in different regions in a given time frame becomes essential to achieve cost effectiveness for VSPs. Meanwhile, it is equally important to guarantee users Quality of Experience (QoE) with rented VMs. we give a systematic method called Dynamical Request Redirection and Resource Provisioning (DYRECEIVE) to address this problem.
Cloud computing, Cloud-based Video Service, Request Redirection, Resource Provision,.
[2] W. Zhang, Y. Wen, J. Cai, and D. Wu, “Toward transcoding as a service in a multimedia cloud: Energy-efficient job-dispatching algorithm,” IEEE Transactions on Vehicular Technology, vol. 63, no. 5, pp. 2002– 2012, Jun 2014. [3] B. Gunsel and A. Tekalp, “Content-based video abstraction,” in Proceedings of International Conference on Image Processing, Oct 1998, pp. 128–132. [4] S.-F. Chang and A. Vetro, “Video adaptation: Concepts, technologies, and open issues,” Proceedings of the IEEE, vol. 93, no. 1, pp. 148–158, Jan 2005.