Analysis of Admission Control in P2P-Based Media Delivery Network Based on POMDP
In this paper, the authors study admission control problems of P2P-based Media De-livery Network (P2P-based MDN). They propose a specific Partially Observable Markov Decision Process (POMDP) model for P2P-based MDN. Based on this model, the observation-based randomized policy for admission control is provided, which optimizes system's performance by applying policy-gradient algorithm. Observation-based policy can enhance the real-time performance of the system, and policy optimization can improve the ac-curacy of controller's judgments based on partial information. Novel source selection policy and bandwidth allocation policy are designed to reduce service delay and provide high-quality service. A numerical example is provided to illustrate the effectiveness of their methods.