Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
D-BIND: an accurate traffic model for providing QoS guarantees to VBR traffic
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)
Using adaptive linear prediction to support real-time VBR video under RCBR network service model
IEEE/ACM Transactions on Networking (TON)
Optimal smoothing for guaranteed service
IEEE/ACM Transactions on Networking (TON)
Prediction of MPEG-coded video source traffic using recurrent neural networks
IEEE Transactions on Signal Processing
Multiresolution learning paradigm and signal prediction
IEEE Transactions on Signal Processing
Dynamic resource allocation via video content and short-termtraffic statistics
IEEE Transactions on Multimedia
Real-time VBR video traffic prediction for dynamic bandwidth allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Predictive and measurement-based dynamic resource management and QoS control for videos
Computer Communications
VBR video traffic management using a predictor-based architecture
Computer Communications
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
IEEE Journal on Selected Areas in Communications
MPEG-4 and H.263 video traces for network performance evaluation
IEEE Network: The Magazine of Global Internetworking
Two neuro-fuzzy control schemes for a traffic-regulating buffer in wireless technology
Information Sciences: an International Journal
Parlay X web services for policy and charging control in multimedia networks
Advances in Multimedia
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The distinct characteristics of variable bit rate (VBR) video traffic and its quality of service (QoS) constraints have posed a unique challenge on network resource allocation and management for future integrated networks. Dynamic bandwidth allocation attempts to adaptively allocate resources to capture the burstiness of VBR video traffic, and therefore could potentially increase network utilization substantially while still satisfying the desired QoS requirements. We focus on prediction-based dynamic bandwidth allocation. In this context, the multiresolution learning neural-network-based traffic predictor is rigorously examined. A well-known-heuristic based approach RED-VBR scheme is used as a baseline for performance evaluation. Simulations using real-world MPEG-4 VBR video traces are conducted, and a comprehensive performance metrics is presented. In addition, a new concept of renegotiation control is introduced and a novel renegotiation control algorithm based on binary exponential backoff (BEB) is proposed to efficiently reduce renegotiation frequency.