End-to-end quality of service seen by applications: A statistical learning approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control
International Journal of Adaptive, Resilient and Autonomic Systems
HDAX: historical symbolic modelling of delay time series in a communications network
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications
Mobile Networks and Applications
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The effect of packet loss on the quality of real-time audio is significant. Nevertheless, Internet measurement experiments continue to show a considerable variation of packet loss, which makes audio error recovery and concealment challenging. We propose a novel framework to predict packet loss and congestion, based on measurements of end-to-end delay variation and trend, enabling proactive error recovery and congestion avoidance. Our preliminary simulation and experimentation results with various sites on the Internet show the effectiveness and the accuracy of the Loss Predictor technique.