It has become common practice to use heavy-tailed distributions in order to describe the variations in time and space of network traffic workloads. The asymptotic behavior of these workloads is complex; different limit processes emerge depending on the specifies of the work arrival structure and the nature of the asymptotic scaling. We focus on two variants of the infinite source Poisson model and provide a coherent and unified presentation of the scaling theory by using integral representations. This allows us to understand physically why the various limit processes arise
We show that, contrary to the common wisdom, the workload process in a fluid queue with a cluster Po...
Abstract — High-speed wireless networks carrying multime-dia applications are becoming a reality and...
The presence of long-range dependence in broadband network and of self-similar traf-fic patterns in ...
It has become common practice to use heavy-tailed distributions in order to describe the variations ...
We model the workload of a network device responding to a random flux of work requests with various ...
The result provided in this paper helps complete a unified picture of the scaling behavior in heavy-...
textabstractHighly-aggregated traffic in communication networks is often modeled as fractional Brown...
Empirical studies of data traffic in high-speed networks suggest that network traffic exhibits self-...
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...
The thesis proposes models for aggregate data network traffic which incorporate the additional rando...
We construct a general stochastic process and prove weak convergence results. It is scaled in space ...
Heavy traffic limit theorems are established for a class of single server queueing models including ...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
We show that, contrary to the common wisdom, the workload process in a fluid queue with a cluster Po...
Abstract — High-speed wireless networks carrying multime-dia applications are becoming a reality and...
The presence of long-range dependence in broadband network and of self-similar traf-fic patterns in ...
It has become common practice to use heavy-tailed distributions in order to describe the variations ...
We model the workload of a network device responding to a random flux of work requests with various ...
The result provided in this paper helps complete a unified picture of the scaling behavior in heavy-...
textabstractHighly-aggregated traffic in communication networks is often modeled as fractional Brown...
Empirical studies of data traffic in high-speed networks suggest that network traffic exhibits self-...
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...
The thesis proposes models for aggregate data network traffic which incorporate the additional rando...
We construct a general stochastic process and prove weak convergence results. It is scaled in space ...
Heavy traffic limit theorems are established for a class of single server queueing models including ...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Cumulative broadband network traffic is often thought to be well modeled by fractional Brownian moti...
We show that, contrary to the common wisdom, the workload process in a fluid queue with a cluster Po...
Abstract — High-speed wireless networks carrying multime-dia applications are becoming a reality and...
The presence of long-range dependence in broadband network and of self-similar traf-fic patterns in ...