Abstract:- This paper addresses the generation of long-range dependent (LRD) network traffic with very big variance. In doing so, it first reviews two commonly used methods of random data generation. The one is the random data generation according to a given probability density function (PDF). The other is the method of synthesizing random data based on a given power spectrum density (PSD) function. Then, the limitations of both methods in synthesizing long-range dependent (LRD) network traffic with very big variance are explained. Based on those, the method of random data generation for a predetermined autocorrelation function (ACF) is discussed. Its advantages in comparison with the PDF-based method and the PSD-based one are interpreted. ...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
It is now widely accepted that packet network traffic exhibits long-range dependence (LRD), and this...
Most network traffic analysis and modeling studies lump all connections together into a single flow....
For over a decade researchers have been reporting the impact of self-similar long-range dependent ne...
Many researchers have discussed the effects of heavy-tailedness in network traffic patterns and show...
The estimation of traffic matrices in a communications network on the basis of a set of traffic meas...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Self-similarity and scaling phenomena have dominated Internet traffic analysis for the past decade.W...
Abstract:- Fractional Gaussian noise (fGn) is a commonly used model of network traffic with long-ran...
In this paper a statistical analysis of real ATM traffic is considered to validate the presence of l...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range dependence (LRD) is a widely verified property of Internet traffic, which severely affect...
In this thesis, we study the cause and impact of burstiness in computer network traffic. A connectio...
The estimation of traffic matrices in a communications network on the basis of a set of traffic meas...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
It is now widely accepted that packet network traffic exhibits long-range dependence (LRD), and this...
Most network traffic analysis and modeling studies lump all connections together into a single flow....
For over a decade researchers have been reporting the impact of self-similar long-range dependent ne...
Many researchers have discussed the effects of heavy-tailedness in network traffic patterns and show...
The estimation of traffic matrices in a communications network on the basis of a set of traffic meas...
The paper discusses various models of self-similar Internet traffic and techniques for estimating th...
Abstract- The intensity of long-range dependence (LRD) of the communications network traffic can be ...
Self-similarity and scaling phenomena have dominated Internet traffic analysis for the past decade.W...
Abstract:- Fractional Gaussian noise (fGn) is a commonly used model of network traffic with long-ran...
In this paper a statistical analysis of real ATM traffic is considered to validate the presence of l...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range dependence (LRD) is a widely verified property of Internet traffic, which severely affect...
In this thesis, we study the cause and impact of burstiness in computer network traffic. A connectio...
The estimation of traffic matrices in a communications network on the basis of a set of traffic meas...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
It is now widely accepted that packet network traffic exhibits long-range dependence (LRD), and this...
Most network traffic analysis and modeling studies lump all connections together into a single flow....