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)
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Application level traffic measurements for capacity engineering
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Accuracy of Time-Domain Algorithms for Self-Similarity: An Empirical Study
CIC '06 Proceedings of the 15th International Conference on Computing
Identifying Long-range Dependent Network Traffic through Autocorrelation Functions
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
Traffic Measurement Mechanisms for High Precision Internet Applications
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
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Recent measurement studies of network traffic and variable bit rate video indicate that the traffic exhibits long-range dependence (LRD). It becomes more and more important to model this kind of traffic. This paper presents a traces-generating framework based on TES (Transform-Expand-Samples) and simple synthetic Markov-Gaussian processes for modeling LRD traffic with variability over several time scales. All of the traffic studies showed that the measurement exhibits approximatesecond-order self-similarity. The network resource is limited and the reallong-range dependent traffic has no room under the circumstances. The proposed framework can fit both the probability density function of the empirical traces and the autocorrelation function spanning over several time scales. Besides, we discuss the validity of approximate LRD modeling with the short-range-dependent approaches.