A measurement-based admission control algorithm for integrated services packet networks
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
RCBR: a simple and efficient service for multiple time-scale traffic
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
A measurement-based admission control algorithm for integrated service packet networks
IEEE/ACM Transactions on Networking (TON)
RED-VBR: a renegotiation-based approach to support delay-sensitive VBR video
Multimedia Systems - Special issue on the fifth workshop on network and operating system support for digital audio and video 1995 (NOSSDAV)
RCBR: a simple and efficient service for multiple time-scale traffic
IEEE/ACM Transactions on Networking (TON)
Real-time block transfer under a link-sharing hierarchy
IEEE/ACM Transactions on Networking (TON)
Transient loss performance of a class of finite buffer queueing systems
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Adaptive VBR video traffic management for higher utilization of ATM networks
ACM SIGCOMM Computer Communication Review
Using adaptive linear prediction to support real-time VBR video under RCBR network service model
IEEE/ACM Transactions on Networking (TON)
Effect of traffic knowledge on the efficiency of admission-control policies
ACM SIGCOMM Computer Communication Review
PSD-Based Neural-net Connection Admission Control
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Dynamic bandwidth allocation based on online traffic prediction for real-time MPEG-4 video streams
EURASIP Journal on Applied Signal Processing
On achieving short-term QoS and long-term fairness in high speed networks
Journal of High Speed Networks
On traffic prediction for resource allocation: A Chebyshev bound based allocation scheme
Computer Communications
On-line prediction of nonstationary variable-bit-rate video traffic
IEEE Transactions on Signal Processing
Dynamic resource allocation DAMA alternatives study for satellite communications systems
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Online internet traffic prediction models based on MMSE
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
A novel method of network burst traffic real-time prediction based on decomposition
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part I
Feed Forward Bandwidth Indication (FFBI): Cooperation for an accurate bandwidth forecast
Computer Communications
Predictive and measurement-based dynamic resource management and QoS control for videos
Computer Communications
Adaptive wavelet predictor to improve bandwidth allocation efficiency of VBR video traffic
Computer Communications
VBR video traffic management using a predictor-based architecture
Computer Communications
Predictive flow control for TCP-friendly end-to-end real-time video on the Internet
Computer Communications
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This paper presents a novel approach to dynamic transmission bandwidth allocation for transport of real-time variable-bit-rate video in ATM networks. Video traffic statistics are measured in the frequency domain. The low-frequency signal captures the slow time-variation of consecutive scene changes while the high-frequency signal exhibits the feature of strong frame autocorrelation. Our queueing study indicates that the video transmission bandwidth in a finite-buffer system is essentially characterized by the low-frequency signal. We further observe in typical JPEG/MPEG video sequences that the time scale of video scene changes is in the range of a second or longer, which localizes the low-frequency video signal in a well-defined low-frequency band. Hence, in a network design it is feasible to implement dynamic allocation of video transmission bandwidth using on-line observation and prediction of scene changes. Two prediction schemes are examined: recursive least square method and time delay neural network method. A time delay neural network with low-complexity high-order architecture, called “pi-sigma network,” is successfully used to predict scene changes. The overall dynamic bandwidth-allocation scheme presented is shown to be promising and practically feasible in obtaining efficient transmission of real-time video traffic