An Integrated Quality-of-Service Model for Video-on-Demand Application

The tremendous growth of the Internet paradigm has given rise to Quality of Service (QoS) problems in heterogeneous, ubiquitous, distributed real time applications such as video-on-Demand (VoD). The challenging task in VoD applications is to satisfy diverse client requests for discrete videos with restrained resources by invoking versatile QoS schemes. In this paper, a hybrid QoS strategy, which is a combination of batching and recursive patching is implemented in the local server to ensure starvation-free resource management thereby enhancing the throughput. Batching shares network resources efficiently whereas recursive patching is adopted to reduce the time difference between the requests. The suggested algorithm delivers the complete video to the users based on one of the three communication channels: broadcast, multicast and unicast depending on whether the video is very popular, average popular and least popular respectively. The experimental results show that our strategy accomplishes 35% 40% reduction in terms of blocking ratio and throughput is 10% 15% higher than the Poon’s strategy, which guarantees that not only the resources are efficiently utilized but also a suitable Quality of Service is provided to each user.