A measurement-based admission control algorithm for integrated service packet networks
IEEE/ACM Transactions on Networking (TON)
Using adaptive linear prediction to support real-time VBR video under RCBR network service model
IEEE/ACM Transactions on Networking (TON)
An Adaptive Scheme for Better Utilization with QoS Constraints for VBR Video Traffic in ATM Networks
ISCC '98 Proceedings of the Third IEEE Symposium on Computers & Communications
Content-based MPEG video traffic modeling
IEEE Transactions on Multimedia
Dynamic resource allocation via video content and short-termtraffic statistics
IEEE Transactions on Multimedia
Bandwidth allocation strategies for transporting variable bit rate video traffic
IEEE Communications Magazine
VBR video traffic management using a predictor-based architecture
Computer Communications
A new dynamic bandwidth allocation scheme for MPEG videos in ATM networks
Computer Communications
IEEE Journal on Selected Areas in Communications
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
IEEE Journal on Selected Areas in Communications
Dynamic bandwidth allocation based on online traffic prediction for real-time MPEG-4 video streams
EURASIP Journal on Applied Signal Processing
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In this paper, we propose a new dynamic resource allocation and call admission control method for the VBR video sources to meet the user's quality of service requirements and at the same time to achieve an efficient resource management in networks. Without any prior knowledge of the user's traffic statistics, the proposed mechanism dynamically adjusts the necessary bandwidth by the networks based on the provided quality of service satisfaction degree of each connection in respect to the user's requirements in terms of loss ratio and average delay. Using traffic prediction and simple QoS measurements, the next required bandwidth for each video connection is computed. To avoid quality decreasing by new incoming calls, we present a call admission control based on the provided QoS for existing connections. Simulation results show that our proposed dynamic method is able to provide the desired level of quality of service and high network utilization.