Simulation of nonGaussian long-range-dependent traffic using wavelets
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Performance evaluation of multiple time scale TCP under self-similar traffic conditions
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
A Parsimonious Multifractal Model for WWW Traffic
Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
A General Fractal Model of Internet Traffic
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Modeling web requests: a multifractal approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Non-stationarity and high-order scaling in TCP flow arrivals: a methodological analysis
ACM SIGCOMM Computer Communication Review
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Describing network traffic using the index of variability
IEEE/ACM Transactions on Networking (TON)
Bridging the gap between mathematical traffic models and operational parameters
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Modeling QoS parameters of VoIP traffic with multifractal and Markov models
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
Computer Communications
Internet traffic classification using multifractal analysis approach
Proceedings of the 15th Communications and Networking Simulation Symposium
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Previous studies have demonstrated that measured wide-area network traffic such as Internet traffic exhibits locally complex irregularities, consistent with multifractal behavior. It has also been shown that the observed multifractal structure becomes most apparent when analyzing measured network traffic at a particular layer in the well-defined protocol hierarchy that characterizes modern data networks, namely the transport or transmission control protocol (TCP) layer. To investigate this new scaling phenomenon associated with the dynamics of measured network traffic over small time scales, we consider a class of multiplicative processes, the so-called conservative cascades, that serves as a cascade paradigm for and is motivated by the networking application. We present a wavelet-based time/scale analysis of these cascades to determine rigorously their global and local-scaling behavior. In particular, we prove that for the class of multifractals generated by these conservative cascades the multifractal formalism applies and is valid, and we illustrate some of the wavelet-based techniques for inferring multifractal scaling behavior by applying them to a set of wide-area traffic traces