Self-adjusting binary search trees
Journal of the ACM (JACM)
Calendar queues: a fast 0(1) priority queue implementation for the simulation event set problem
Communications of the ACM
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Importance sampling for stochastic simulations
Management Science
The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Computational Statistics & Data Analysis
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
A comparative study of parallel and sequential priority queue algorithms
ACM Transactions on Modeling and Computer Simulation (TOMACS)
New models for pseudo self-similar traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
On merging and splitting of self-similar traffic in high-speed networks
ICCC '95 Proceedings of the 12th international conference on computer communication on Information highways : for a smaller world and better living: for a smaller world and better living
Frontiers in queueing
The JSIM web-based simulation environment
Future Generation Computer Systems
On the use of self-similar processes in network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
Chaotic maps for traffic modelling and queueing performance analysis
Performance Evaluation
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Does fractal scaling at the IP level depend on TCP flow arrival processes?
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Understanding the Long-Term Self-Similarity of Internet Traffic
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
Fractal Traffic Models for Internet Simulation
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
Cluster processes: a natural language for network traffic
IEEE Transactions on Signal Processing
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
A wavelet-based joint estimator of the parameters of long-range dependence
IEEE Transactions on Information Theory
Packet Trains--Measurements and a New Model for Computer Network Traffic
IEEE Journal on Selected Areas in Communications
Local area network characteristics, with implications for broadband network congestion management
IEEE Journal on Selected Areas in Communications
Self-similarity and long-range dependence in teletraffic
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
The design and evaluation of the Simple Self-Similar Sequences Generator
Information Sciences: an International Journal
Fast simulation of self-similar and correlated processes
Mathematics and Computers in Simulation
Robustness of the whittle estimator applied to non-Gaussian long-range dependent processes
ASMTA'10 Proceedings of the 17th international conference on Analytical and stochastic modeling techniques and applications
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It is generally recognised that aggregated network traffic is self similar and that self similar traffic models should be used in simulation experiments when assessing the performance of a network. Many generators have been proposed to synthetically produce self similar simulation input; however most of them require the trace length to be known a priori. Four generators that allow continuous generation of self similar time series are evaluated in this work with respect to their ability to reproduce the desired level of self similarity. This extensive investigation uses ten times as many traces and twice the number of parameter values as previously reported. Three of the tested generators perform well but surprisingly the generator supplied with a widely used commercial network simulator is unusable. The reported results indicate that the generator based on multiplexing strictly alternating ON/OFF sources may perform better than generators based on chaotic maps, provided that more than 100 ON/OFF sources can be used. Three estimators for the degree of self similarity of a time series have been evaluated as part of the process, and the only acceptable one is based on a Wavelet decomposition of the traffic trace.