For several decades, optical networks, due to their high capacity and long-distance
transmission range, have been used as the major communication technology to serve …

Information technology (IT) infrastructure investments are an extremely important part of e-
business and constitute a major portion of IT investments in many organizations. IT …

Understanding and predicting uncertain things are the central themes of scientific evolution.
Human beings revolve around these fears of uncertainties concerning various aspects like a …

This paper proposes a data-driven bandwidth allocation (BA) framework for periodically and
dynamically reconfiguring an elastic optical network according to predictive BA (PBA) …

The distribution of recurrence times or return intervals between extreme events is important
to characterize and understand the behavior of physical systems and phenomena in many …

Drivers' heterogeneity and the broad range of vehicle characteristics on public roads are
primarily responsible for the stochasticity observed in road traffic dynamics. Understanding …

The estimation of species abundances at regional scales requires a cost‐efficient method
that can be applied to existing broadscale data. We compared the performance of eight …

We examine proactive network optimization in reconfigurable optical networks based on
traffic predictions. Specifically, the fair spectrum allocation (SA) problem is examined for a …

We study the predictability of extreme events in records with linear and nonlinear long-range
memory in the presence of additive white noise using two different approaches:(i) the …

There are more and more structured traffic flows (aka coflow) in today's data center
networks. Completing a coflow is extremely important for various applications, eg …