Cloud Based Video on Demand (VoD) Using DCRP AlgorithmAuthor : T. Karthiga
Volume 1 No.1 January-June 2012 pp 107-110
The attempt to display media files through internet was started from mid-20th century. Several research works have been reported to provide Video on Demand model in distributed like RMI, SOA and Grid Computing. Internet-based cloud computing is a new computing paradigm aiming to provide agile and scalable resource access in a utility-like fashion. The fundamental question is how to configure the cloud utility to meet the highly dynamic demands of such applications at a modest cost. In this paper, a queueing network based model is used to characterize the viewing behaviors of users in a multichannel VoD application, and derive the server capacities needed to support smooth playback in the channels for two popular streaming models, client-server and P2P.Disk Scheduling is used to allocate separate disks to users. A dynamic cloud resource provisioning algorithm is used in which the derived capacities and instantaneous network statistics as inputs, can effectively support VoD streaming with low cloud utilization cost. Analysis and algorithm design are verified and extensively evaluated by applying large-scale experiments under dynamic realistic settings on a cloud platform.
Peer-to-Peer, Video on Demand (VoD), streaming, Caching, Prefetching, Disk Scheduling