Add to ORKGAbstract:- Fractional Gaussian noise (fGn) is a commonly used model of network traffic with long-range dependence (LRD). This paper revisits the basic results of fGn towards noticing its limitation in traffic modeling. Key-Words:- Fractional Gaussian noise; Long-range dependence; Network traffic
Cumulative broadband network traffic is often thought to be wellmodeled by fractional Brownian motio...
We introduce a general non-Gaussian, self-similar, stochastic process called the fractional Lévy mot...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
Abstract:- This paper addresses three models of traffic based on fractional Gaussian noise (fGn). Th...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
The simplest models with long-range dependence (LRD) are self-similar processes. Self-similar proces...
Long-range dependence (LRD) can be observed in the large scale behavior of almost all the data netwo...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
Since the beginning of the 1990s, accurate traffic measurements carried out in different network sce...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
This paper presents the results of fitting stochastic model into real network traffic. Accurate mode...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
Cumulative broadband network traffic is often thought to be wellmodeled by fractional Brownian motio...
We introduce a general non-Gaussian, self-similar, stochastic process called the fractional Lévy mot...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
Abstract:- This paper addresses three models of traffic based on fractional Gaussian noise (fGn). Th...
Abstract:- This paper revisits three important concepts in fractal type network traffic, namely, sel...
The simplest models with long-range dependence (LRD) are self-similar processes. Self-similar proces...
Long-range dependence (LRD) can be observed in the large scale behavior of almost all the data netwo...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
Since the beginning of the 1990s, accurate traffic measurements carried out in different network sce...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
This paper presents the results of fitting stochastic model into real network traffic. Accurate mode...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
Cumulative broadband network traffic is often thought to be wellmodeled by fractional Brownian motio...
We introduce a general non-Gaussian, self-similar, stochastic process called the fractional Lévy mot...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...