Self similarity has taken great interest in computer networks since modeling of Ethernet traffic via self similarity. Recent studies have shown that network traffic exhibits long range dependency which could not be modeled with Poisson distribution. Time and frequency domain representations are frequently utilized to better visualize and characterize self similar stochastic processes
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
Self similarity has taken great interest in computer networks since modeling of Ethernet traffic via...
Recent network traffic studies argue that network arrival pro-cesses are much more faithfully modele...
Recent network traffic studies argue that network arrival processes are much more faithfully modeled...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
Self-similarity plays an important role, at least over a finite number of scales, in natural phenome...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Recently, statistical analysis of high-resolution measurements of several types of network traffic h...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
The optimal computer network performance models require accurate traffic models, which can capture t...
Since the seminal study of Leland, Taqqu, Willinger and Wilson [41] which set the groundwork for con...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
Recent empirical studies have shown that the modern computer network traffic is much more appropriat...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
Self similarity has taken great interest in computer networks since modeling of Ethernet traffic via...
Recent network traffic studies argue that network arrival pro-cesses are much more faithfully modele...
Recent network traffic studies argue that network arrival processes are much more faithfully modeled...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
Self-similarity plays an important role, at least over a finite number of scales, in natural phenome...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Recently, statistical analysis of high-resolution measurements of several types of network traffic h...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
The optimal computer network performance models require accurate traffic models, which can capture t...
Since the seminal study of Leland, Taqqu, Willinger and Wilson [41] which set the groundwork for con...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
Recent empirical studies have shown that the modern computer network traffic is much more appropriat...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
DOI
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