Recursive estimation and time-series analysis: an introduction
Recursive estimation and time-series analysis: an introduction
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Using adaptive linear prediction to support real-time VBR video under RCBR network service model
IEEE/ACM Transactions on Networking (TON)
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
A predictive self-tuning fuzzy-logic feedback rate controller
IEEE/ACM Transactions on Networking (TON)
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
A General Fractal Model of Internet Traffic
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Performance of TCP congestion control with explicit rate feedback
IEEE/ACM Transactions on Networking (TON)
Exponential-RED: a stabilizing AQM scheme for low- and high-speed TCP protocols
IEEE/ACM Transactions on Networking (TON)
Journal of High Speed Networks
LRED: A Robust and Responsive AQM Algorithm Using Packet Loss Ratio Measurement
IEEE Transactions on Parallel and Distributed Systems
Adaptive multi-level explicit congestion notification
International Journal of High Performance Computing and Networking
Stochastic processes for computer network traffic modeling
Computer Communications
Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A TSK-type neurofuzzy network approach to system modeling problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Traffic modeling, prediction, and congestion control for high-speed networks: a fuzzy AR approach
IEEE Transactions on Fuzzy Systems
Fuzzy adaptive predictive flow control of ATM network traffic
IEEE Transactions on Fuzzy Systems
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
The available bit rate service for data in ATM networks
IEEE Communications Magazine
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
IEEE Journal on Selected Areas in Communications
Congestion control mechanisms and the best effort service model
IEEE Network: The Magazine of Global Internetworking
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In this paper, we present an adaptive predictive orthonormal basis functions (OBF)-fuzzy model that considers the multifractal behavior of network traffic flows. To this end, we model the traffic flows using orthonormal basis functions obtained through multifractal analysis. We insert the orthonormal basis functions into a fuzzy model trained with an adaptive clustering algorithm. Further, we propose a predictive flow control scheme for broadband networks. Also, using the fuzzy model parameters, we derive an expression for the optimal traffic source rate. Comparisons to other predictive control schemes prove the efficiency of the proposed adaptive OBF-fuzzy based control and training algorithm.