Real-Time Transport of MPEG Video with a Statistically Guaranteed Loss Ratio in ATM Networks
IEEE Transactions on Parallel and Distributed Systems
A framework for guaranteeing statistical QoS
IEEE/ACM Transactions on Networking (TON)
Distributing Layered Encoded Video through Caches
IEEE Transactions on Computers
Interactive video streaming with proxy servers
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Interactive virtual environments and distance education
Live Admission Control for Video Streaming
QoS-IP 2003 Proceedings of the Second International Workshop on Quality of Service in Multiservice IP Networks
Measurement-Based Admission Control: A Large Deviations Approach for Bufferless Multiplexers
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Queueing networks approach for bandwidth estimation of smoothed VBR video streams
Performance Evaluation
Feed Forward Bandwidth Indication (FFBI): Cooperation for an accurate bandwidth forecast
Computer Communications
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We develop call admission policies for statistically multiplexing prerecorded sources over a bufferless transmission link. Our model is appropriate for video on demand, as well as other on-demand multimedia applications. In particular, we allow users to specify when the sources begin transmission; we also allow the user to invoke VCR actions such as pause and temporal jumps. We suppose that the quality of service (QoS) requirement allows for a small amount of packet loss. We develop a stochastic model which captures the random phases of the sources. We then apply large deviation theory to our model to develop global admission rules. The accuracy of the large deviation approximation is verified with simulation experiments employing importance sampling techniques. We also propose a refined admission rule which combines the global test and a myopic test. Numerical results are presented for the Star Wars trace; we find that the statistical multiplexing gain is potentially high and often insensitive to the QoS parameter. Finally, we develop efficient schemes for the real-time implementation of our global test. In particular, we demonstrate that the Taylor series expansion of the logarithmic moment generating function of the frame size distribution allows for fast and accurate admission decisions