A novel real-time scheduling algorithm based on real-time stream media

The video applications based on internet are growing rapidly. The real-time video applications become more popular. Because of the complexity of the internet and the real-time demand on stream video, the real-time scheduling algorithm has great influenced on the quality of service. In this paper, a novel scheduling algorithm is presented, which associated with the theories of forward error correction and Kalman filter, to improve the quality of service of stream media. The state of the algorithm is analyzed. This algorithm keeps the continuity during the transmission. At last, the simulation results are given, which indicate the scheduling algorithm can provide good video service.