Automatic Music Synchronization Using Partial Score Representation Based on IEEE 1599

Abstract

In this paper, a novel multimedia transmission server is designed using rule based expert system technology. It is superior on current media transmission servers because it is more powerful on streaming, flexible on control, and reliable on maintenance. In the proposed expert server, working parameters and management methods are separated from the decision-making procedure and stored in an xml database called knowledge base. The server fires different transmission strategies inside the knowledge base by runtime inference. Thus it can easily adjust transmission parameters under various environments and adopt new developed methods without significantly changing the main body of server codes. In this paper, we not only analyzed the time complexity of inference procedure and the real time characteristics of the server, but also tested the server performance on local area networks. Results showed that the expert system can deliver smooth streams with around 50% deduced throughput oscillations when compared with a single rate control method. The saved 50% bandwidth could be used for supporting more users. When congestion happened, the expert system reacts intelligently and conducts cooperative steps to relocate its resources. At the same time, the congestion related information is recorded and referred for future congestion avoidance. Attractively, these enhanced performances are achieved by taking less than 10% of the CPU time for the execution of the expert server control program.