  The literature survey typically predicated sharp growth for IP-based video
traffic i.e., 30% or more annually. For the Internet TV in mobile networks,
video traffic growth rate is expected to rise 80% or more. These high growth
rates of video traffic will account for a large portion of the bandwidth. The
performance of video-on-demand system during real-time data streaming greatly
depends on the session oriented data-storage finding in the mass scale
distributed storage architecture. At the storage end, data is broken up into
manageable chunks of data packets, which could be smoothly, deliver over the
Internet. The objective of this study was to present the necessity of traffic
control and traffic analysis methodology in the video on demand system to
minimize the hop count for finding exact media storage to retrieve video chunk
data.
