Linear probability based admission control policy for video on demand system

Abstract

In this paper, we propose a dynamic admission control policy for distributed video on demand system, based on linear probability function. The probability of accepting a video request is calculated by using a liner mathematical formula. Quality of service (QoS) is granted by restricting the requests on the basis of popularity of request and availability of resources. The popular video request will get better chance to be accepted. The distinction of this paper from the others is dynamic admission control policy instead of static and threshold. The evaluation of proposed system is done by simulation model, number of rejected requests and total generated revenue is calculated for performance measurement, and it is observed that proposed admission control policy not only improves the performance of all the request classes but also improves a lot the overall system.