Projects
Robust modelling and optimisation in stochastic processes using impreciseprobabilities, with applications to queueing Ghent University
A process is called stochastic when its time-evolution is to some
extent uncertain. To model and reason with such uncertainty, we
use methods from probability theory. This allows us to analyse the
behaviour of these processes, and to design or influence them in
order to make their behaviour optimal or desirable.
One crucial problem is that most often we are not only uncertain
about the processes themselves, but ...
Analysis of Heterogeneous Queueing Networks Ghent University
In this project, we study queueing networks with a
given number of classes of customers. Priority can be given to a particular class of customers when serving customers in the queues. These queueing
networks are adequate models for nowadays telecommunication networks. We will construct approximative formulas for interesting performance measures such as the end-to-end delay of customers.
Robust modelling and optimisation of stochastic processes with imprecise probabilities, applied to queueing systems Ghent University
In this project the paradigm of imprecise
probabilities (expertise 1st promotor) is applied to stochastic processes that are usually described by ‘common’, i.e. precise, probability theory. The
targeted application is on processes that occur in queueing systems (expertise of 2nd and 3rd promotor). The new treatment allows us to quantify the belief we can put in results from classic queueing analysis in the presence of ...
Queueing systems with energy efficient service Ghent University
The project aims at studying mechanisms for the energy efficient service of customers in a queueing system. Particularly, the goal is the development of appropriate stochastic models, adequate mathematical techniques and efficient numerical procedures for the performance analysis of queueing sytems with exhaustive service and two types of mechanisms for resuming the service of customers: a sleep mode mechanism or a service threshold.
Performance analysis of queueing models with AQM for scalable video Ghent University
The aim of this project is to investigate the performance of active queue management techniques in the nodes of a packet swithced network. In particular, various queueing models will be constructed and analysed to assess the performance of transmission of layered video over these networks.
Efficient inference in large-scale queueing models using imprecise continuous-time Markov chains Ghent University
A continuous-time Markov chain is a probabilistic model that is successful at describing the
uncertain time evolution of various systems. Since it is also quite simple to make predictions about
its future behaviour, it has become a very popular tool in a large range of applied domains, including
engineering, artificial intelligence, mathematical finance, bio-informatics and queueing. However,
when the dimensions of the ...
A new paradigm for the service process in queueing systems, with applications in computer and communication networks. University of Antwerp
Development of a methodology to increase the applicability of queueing models whereby numerical calculation of boundary probabilities is required Ghent University
Queueing theory provides fundamental tools to study the performance of computer
and telecommunication networks. Basically, a model is developed, whereupon
performance measures are deduced by which the scenario at hand can be
evaluated. In a queueing model, broadly speaking, customers (packets, processes)
arrive and are stored in a buffer in awaitance of their service (transmission, being
...