Ten lectures on wavelets
Modelling the self-similar behaviour of network traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special Issue: performance modeling and evaluation of ATM networks
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Acyclic discrete phase type distributions: properties and a parameter estimation algorithm
Performance Evaluation
Modeling and Analysis of Telecommunication Networks
Modeling and Analysis of Telecommunication Networks
Queuing Theory and Telecommunications: Networks and Applications
Queuing Theory and Telecommunications: Networks and Applications
Virtual partitioning for robust resource sharing: computational techniques for heterogeneous traffic
IEEE Journal on Selected Areas in Communications
Opportunistic spectrum access in self-similar primary traffic
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
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This paper examines self-similar (or fractal) properties of real teletraffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. The algorithms for modelling fixed-length sequence generators that are used to simulate self-similar behaviour of real teletraffic data in IP traffic for wireless networks are developed and applied. Numerical examples and simulation results are provided.