On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Modeling and simulation of self-similar variable bit rate compressed video: a unified approach
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic
ACM SIGCOMM Computer Communication Review
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Numerical Methods for Fitting and Simulating Autoregressive-To-Anything Processes
INFORMS Journal on Computing
Fast Self-Similar Teletraffic Generation Based on FGN and Wavelets
ICON '99 Proceedings of the 7th IEEE International Conference on Networks
Comparative analysis of Hurst techniques
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
A note on simulation of LRD network traffic
IMCAS'09 Proceedings of the 8th WSEAS international conference on Instrumentation, measurement, circuits and systems
Dynamic OBS offset allocation in WDM networks
Computer Communications
Performance modelling and traffic characterisation of optical networks
Network performance engineering
A study on transformation of self-similar processes with arbitrary marginal distributions
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
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It is generally accepted that self-similar processes may provide better models for teletraffic in modern telecommunication networks than Poisson processes. If stochastic self-similarity of teletraffic is not taken into account, it can lead to inaccurate conclusions about the performance of networks. Thus, an important requirement for conducting simulation studies of networks is the ability to generate long synthetic self-similar sequences of incremental processes, to transform them into interevent time intervals, and to do this accurately and quickly. A fast generator for count processes based on wavelets is described. Then a method for transformation of count processes into interevent processes proposed by Leroux and Hassan [1] and an alternative method, that is, inverting the empirical distribution directly, are studied. A case study is discussed to show how long sequences are needed in the steady-state simulation of queueing models with self-similar input processes. This is compared with simulation run lengths of the same queueing models fed by Poisson processes.