We study the problem of in-network execution of data analytic services using multi-grade
VNF chains. The nodes host VNFs offering different and possibly time-varying gains for each …

Recent experimental studies confirm the prevalence of the widely known performance
anomaly problem in current Wi-Fi networks, and report on the severe network utility …

In this paper, we bring the celebrated max-weight features (myopic and discrete actions) to
mainstream convex optimization. Myopic actions are important in control because decisions …

We propose an online policy that schedules the transmission and processing of data
analytic tasks in an Internet of Things (IoT) network. The tasks are executed with different …

We study the use of approximate Lagrange multipliers and discrete actions in solving
convex optimisation problems. We observe that descent, which can be ensured using a wide …

We consider the subgradient method for the dual problem in convex optimisation with
approximate multipliers, ie, the subgradient used in the update of the dual variables is …

This is a dissertation submitted for acquiring the degree of Doctor of Philosophy, from School
of Computer Science and Statistics, Trinity College Dublin. It contains research carried out in …

We study the use of approximate Lagrange multipliers in the stochastic subgradient method
for the dual problem in constrained convex optimisation. The use of approximate Lagrange …

Convex optimisation and max-weight are central topics in networking and control, and
having a clear understanding of their relationship and what this involves is crucial from a …

Junto con los retos técnicos, la adopción de las tecnologías de la información y
comunicación (TIC) como base que soporte el desarrollo de otros servicios, también …