Expert system technology: development and application
Expert system technology: development and application
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Expert Systems: Principles and Case Studies
Expert Systems: Principles and Case Studies
Verification and Validation of Rule-Based Expert Systems
Verification and Validation of Rule-Based Expert Systems
Analysis of rate-distortion functions and congestion control in scalable internet video streaming
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Multi-Layer Active Queue Management and Congestion Control for Scalable Video Streaming
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Oscillations and buffer overflows in video streaming under non-negligible queuing delay
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
Delayed stability and performance of distributed congestion control
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Discrete LQ Rate Control Schedule System for Multimedia Transmission
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Extending equation-based congestion control to high-speed and long-distance networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A fuzzy-expert-system-based structure for active queue management
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Performance analysis of TCP-friendly AIMD algorithms for multimedia applications
IEEE Transactions on Multimedia
Media- and TCP-friendly congestion control for scalable video streams
IEEE Transactions on Multimedia
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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.