This thesis introduces a novel model for characterising network delays and a
method derived from it for generating representative synthetic network delays.
The model of network delays is based on combining multiple Weibull probability
distributions to accurately fit the delay histogram observed in the delay
traces. The idea of using the Weibull distribution as a basis to build the delay
histogram is based on earlier studies on queueing theory under self-similar input
traffic. However, such theoretical results have not been validated in real end-to-end
In this work, a method for finding the optimal model parameters will be introduced,
tested and validated with measurements collected under real network
activity. Additionally, two extensions of this algorithm shall be introduced: a
real-time modification for tracking network delays adaptively; and an algorithm
for generating synthetic but statistically equivalent network delays.
Finally, network research topics will be introduced as possible applications and
further directions of research. These include: real-time network management, service
differentiation, QoS routing and delay-based congestion-control.
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.