Data accumulation based adaptive data scheduling algorithm for P2P media streaming

Considering the playback urgency and the distribution efficiency of media data, with the effort to combine the merits of the greedy algorithm and the rarest-first algorithm together, a data accumulation based adaptive data scheduling algorithm (Dabas) was proposed, which used the data accumulation as the balance factor to dynamically adjust the selection priority of the media data, and thus to remain good playback quality on each receiver side as well as to improve the global scarcity of media data. Simulation results show that under different experiment situations the proposed algorithm has good performance.