Teletraffic (traffic in short) modeling is crucial in the analysis and design of the infrastructure
of cyber-physical network systems from a view of traffic engineering. However, reports …

In a previous paper it was proposed, and theoretically confirmed, that analysis of self-similar
traffic flows with long-range dependence may be restricted to the network layer. In this paper …

This article contributes the highlights mainly in two folds. On the one hand, it presents a
formula to compute the upper bound of the variance of the correlation periodogram …

Introduction: Experimental researches have shown that the behaviors of the traffic on local-
area networks and widearea networks are well modeled by second-order selfsimilar …

More and more researches show that network traffic is not Markovian process, but shows the
burst nature called self-similarity at any time scale. The mathematic models describing …

Telecommunication networks are growing very fast. The user's needs, in regards to new
services and applications that have a higher bandwidth requirement, are becoming bigger …

Modeling autocorrelation functions of self-similar teletraffic in communication networks
based on optimal approximation in Hilbert space - ScienceDirect Skip to main contentSkip to …

Generation of long-range-dependent (LRD) traffic is crucial for networking, eg simulating the
Internet. In this respect, it is necessary to generate an LRD traffic series according to a given …

The second-order character of self-similar network traffic, ie its correlation existing at multiple
time scales, has an enormous impact on network performance, which has been widely …

Recent experimental research has revealed that the nature of WWW traffic is self-similarity
(ME Crovella and A. Bestavros, 1997). That is, the behavior of WWW traffic is well modeled …