Level aware model for Peer to Peer live video streaming

Peer to Peer (P2P) live streaming paradigm is realized using several approaches based on combinations of network overlay formation (tree, mesh or hybrid) and data scheduling algorithms. Source driven (push based), Data driven (pull based) and Receiver driven approaches are widey utilized for modeling and designing P2P video streaming application for live video broadcast. In this paper we propose new P2P network overlay construction for live P2P video streaming that we intend to evaluate via well established formalism of Fluid Stochastic Petri Nets (FSPNs) and/or Discrete Event Simulations. Our model accounts for many issues of these systems such as: locality awareness, low control traffic, low playback delay, fast network recovery, incentives etc.