On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Queue response to input correlation functions: continuous spectral analysis
IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
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
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
What are the implications of long-range dependence for VBR-video traffic engineering?
IEEE/ACM Transactions on Networking (TON)
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the relevance of long-range dependence in network traffic
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
IEEE/ACM Transactions on Networking (TON)
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic
ACM SIGCOMM Computer Communication Review
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
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
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Statistical characteristics and multiplexing of MPEG streams
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Tail probabilities for a multiplexer with self-similar traffic
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models
IEEE Journal on Selected Areas in Communications
A new heavy-tailed discrete distribution for LRD M/G/∞ sample generation
Performance Evaluation
An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
Discrete-time heavy-tailed chains, and their properties in modeling network traffic
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Foundations and Trends® in Stochastic Systems
A new model for MPEG video traffic at the frame level using self-similar processes
SpringSim '07 Proceedings of the 2007 spring simulaiton multiconference - Volume 1
Using the Whittle Estimator for the Selection of an Autocorrelation Function Family
ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
Efficient On-Line Generation of the Correlation Structure of F-ARIMA Processes
ASMTA '09 Proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications
Self-similarity and long-range dependence in teletraffic
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
Flexible adjustment of the short-term correlation of LRD M/G/∞-based processes
Electronic Notes in Theoretical Computer Science (ENTCS)
Modeling and simulation of self-similar storage I/O
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
Fast simulation of self-similar and correlated processes
Mathematics and Computers in Simulation
On the minimum number of users for the generation of H-ss traffic in a simulation scenario
WSEAS TRANSACTIONS on COMMUNICATIONS
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
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Analysis of the distribution of the statistic of a test for discriminating correlated processes
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
On improving the efficiency of an M/G/∞ generator of correlated traces
Operations Research Letters
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Several recent traffic measurement studies have convincingly shown the presence of self-similarity in modern high-speed networks, involving a very important revolution in the stochastic modeling of traffic. Thus the use of self-similar processes has opened new problems and research fields in network performance analysis, mainly in simulation studies, where the efficient synthetic generation of sample paths (traces) corresponding to self-similar traffic is one of the main topics. In this article, we justify the selection of interarrival time instead of counting processes for modeling arrivals. Also, we discuss the advantages and drawbacks of the most important self-similar processes when applied to traffic modeling in simulation studies, proposing the use of models based in F-ARIMA, mainly due to their flexibility to capture both long- and short-range correlations. However, F-ARIMA processes have been little used in simulation studies, mainly because the synthetic generation methods available in the literature are very inefficient compared with those for FGN. In order to solve this problem, we propose a new method that can generate high-quality traces corresponding to a F-ARIMA(p, d, q) process. A comparison with existing methods shows that the new method is significantly more efficient, and even slightly better than the best method for FGN.