[[abstract]]© 1996 Institute of Electrical and Electronics Engineers-We use the theory of effective bandwidth for bandwidth allocation in high speed digital networks (ATM), and experiment with simulated Markov traces and actual VBR traces. To approximate the effective bandwidth, we use the four traffic descriptors: average rate, asymptotic variance, peak rate and average burst duration. In our experiments, we find the theory yields good approximations of the queue length distributions for simulated Markov traces and a video conference trace. However, our estimations for asymptotic variance do not converge for some VBR video traces. This implies that some VBR traces might be long-range dependent. Based for the fractional Brownian motion (FBM...
ATM traffic is complex but only simple statistical models are amenable to mathematical analysis. We ...
Abstract-The purpose of this work is to apply techniques to estimate the Effective Bandwidth, from t...
The Generalized Markov Fluid Model (GMFM) is assumed for modeling sources in the network because it ...
This work addresses the resource sharing problem in broadband communication networks that can guaran...
This work addresses the resource sharing problem in broadband communication networks that can guaran...
We compare the adequacy of two models for realistic video sources, namely the fractional Brownian mo...
[[abstract]]© 1993 Institute of Electrical and Electronics Engineers-The authors show the existence ...
[[abstract]]The authors show the existence of effective bandwidths for multiclass Markov fluids and ...
In this paper, we study the bandwidth allocation problem for an ATM multiplexer loaded with compress...
In this letter we analyse the impact of VBR video traffic characteristics on broadband network perfo...
In this paper, different approximations for the effective bandwidth of self-similar traffic streams ...
The Fractional Brownian motion (fBm) traffic model is important because it captures the self-similar...
Abstract—We consider a statistical multiplexer model, in which each of K sources is a Markov modulat...
At a buffered switch in an ATM (asynchronous transfer mode) network it is important to know what com...
Bellcore studies have shown that Fractional Brownian Motion (FBM) is a convenient and compact mathem...
ATM traffic is complex but only simple statistical models are amenable to mathematical analysis. We ...
Abstract-The purpose of this work is to apply techniques to estimate the Effective Bandwidth, from t...
The Generalized Markov Fluid Model (GMFM) is assumed for modeling sources in the network because it ...
This work addresses the resource sharing problem in broadband communication networks that can guaran...
This work addresses the resource sharing problem in broadband communication networks that can guaran...
We compare the adequacy of two models for realistic video sources, namely the fractional Brownian mo...
[[abstract]]© 1993 Institute of Electrical and Electronics Engineers-The authors show the existence ...
[[abstract]]The authors show the existence of effective bandwidths for multiclass Markov fluids and ...
In this paper, we study the bandwidth allocation problem for an ATM multiplexer loaded with compress...
In this letter we analyse the impact of VBR video traffic characteristics on broadband network perfo...
In this paper, different approximations for the effective bandwidth of self-similar traffic streams ...
The Fractional Brownian motion (fBm) traffic model is important because it captures the self-similar...
Abstract—We consider a statistical multiplexer model, in which each of K sources is a Markov modulat...
At a buffered switch in an ATM (asynchronous transfer mode) network it is important to know what com...
Bellcore studies have shown that Fractional Brownian Motion (FBM) is a convenient and compact mathem...
ATM traffic is complex but only simple statistical models are amenable to mathematical analysis. We ...
Abstract-The purpose of this work is to apply techniques to estimate the Effective Bandwidth, from t...
The Generalized Markov Fluid Model (GMFM) is assumed for modeling sources in the network because it ...