Class Based Admission Control by Complete Partitioning -Video on Demand Server

TL;DR

This paper proposes a class-based admission control method using complete partitioning for VOD servers in NGN, aiming to reduce blockage probability and improve service performance in high-demand multimedia environments.

Contribution

It introduces an analytical and simulation-based approach to analyze the impact of server partitioning on VOD request handling and performance.

Findings

Blockage probability significantly affects VOD request acceptance.

Partitioning improves server performance and reduces blockage.

Analytical and simulation results validate the proposed approach.

Abstract

In the next generation network (NGN) environment specific consideration is on bandwidth minimization, because this reduces the cost of network. In response to the growing market demand for multimedia traffic transmission, NGN concept has been produced. The next generation network provides multimedia services over high speed networks, which supports DVD quality video on demand. Although it has numerous advantages, more exploration of the large-scale deployment video on demand is still needed. The focus of the research presented in this paper is a class based admission control by the complete partitioning of the video on demand server. In this paper we present analytically and by simulation how the blockage probability of the server significantly affects the on demand video request and the service. We also present how the blockage probability affects the performance of the video on demand server.