In this paper we present an overview of the field of deterministic approximation of Markov
processes, both in discrete and continuous times. We will discuss mean field approximation …

Bike-sharing systems are becoming important for urban transportation. In these systems,
users arrive at a station, pick up a bike, use it for a while, and then return it to another station …

Multipath TCP (MPTCP) has been proposed recently as a mechanism for transparently
supporting multiple connections to the application layer. It is under discussion at the IETF …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

MPTCP has been proposed recently as a mechanism for supporting transparently multiple
connections to the application layer. It is under discussion at the IETF. We show, however …

Mean field models are a popular means to approximate large and complex stochastic
models that can be represented as N interacting objects. Recently it was shown that under …

Mean-field approximation is a powerful tool to study large-scale stochastic systems such as
data-centers--one example being the famous power of two-choice paradigm. It is shown in …

A fundamental challenge in large-scale cloud networks and data centers is to achieve highly
efficient server utilization and limit energy consumption, while providing excellent user …

Renewable energy sources, such as wind, are characterized by non-dispatchability, high
volatility, and non-perfect forecasts. These undesirable features can lead to energy loss …

We investigate the stability condition of redundancy-d multiserver systems. Each server has
its own queue and implements popular scheduling disciplines such as first-come-first-serve …