Add to ORKGFractal behavior and long-range dependence have been observed in tele-traffic measurement and characterization. In this paper we show results of application of the fractal analysis to internet traffic via various methods. Our result demonstrate that the internet traffic exhibits self-similarity. Time-scale analysis show to be an effective way to characterize the local irregularity. Based on the result of this study, these two Internet time series exhibit fractal characteristic with long-range dependence
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
Abstract. We look at a family of models for Internet traffic with increasing input rates and conside...
This paper studies and discusses the presence of LRD in network traffic after classifying flows into...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
A fractal is a function or a process in which an identical motif repeats itself on an ever diminishi...
Abstract—The relation between burstiness and self-similarity of network traffic was identified in nu...
The Internet traffic data have been found to possess extreme variability and bursty structures in a ...
Abstract:- Since fractal characteristics of network traffic were discovered by Leland in 1994, the l...
Part 18: The Applications of Soft Computing to Telecommunications (ASCOTE) WorkshopInternational aud...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
Taking into account the fractal properties of computer network traffic allows one to predict the inf...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
Abstract. We look at a family of models for Internet traffic with increasing input rates and conside...
This paper studies and discusses the presence of LRD in network traffic after classifying flows into...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
A fractal is a function or a process in which an identical motif repeats itself on an ever diminishi...
Abstract—The relation between burstiness and self-similarity of network traffic was identified in nu...
The Internet traffic data have been found to possess extreme variability and bursty structures in a ...
Abstract:- Since fractal characteristics of network traffic were discovered by Leland in 1994, the l...
Part 18: The Applications of Soft Computing to Telecommunications (ASCOTE) WorkshopInternational aud...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
Taking into account the fractal properties of computer network traffic allows one to predict the inf...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
We look at a family of models for Internet traffic with increasing input rates and consider approxim...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
Abstract. We look at a family of models for Internet traffic with increasing input rates and conside...
This paper studies and discusses the presence of LRD in network traffic after classifying flows into...