Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

Complex networks describe a wide range of systems in nature and society. Frequently cited
examples include the cell, a network of chemicals linked by chemical reactions, and the …

Traffic prediction of wireless networks attracted many researchers and practitioners during
the past decades. However, wireless traffic frequently exhibits strong nonlinearities and …

In this work we study the problem of using machine-learned predictions to improve
performance of online algorithms. We consider two classical problems, ski rental and non …

The Smart Grid, generally referred to as the next-generation power system, is considered as
a revolutionary and evolutionary regime of existing power grids. More importantly, with the …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

How can we generate realistic networks? In addition, how can we do so with a
mathematically tractable model that allows for rigorous analysis of network properties? Real …

The dynamics of many social, technological and economic phenomena are driven by
individual human actions, turning the quantitative understanding of human behaviour into a …

Recently, I became interested in a current debate over whether file size distributions are best
modelled by a power law distribution or a lognormal distribution. In trying to learn enough …

This comprehensive text gives an interesting and useful blend of the mathematical,
probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of …