MAESTRO - 2011 - Annual activity report

MAESTRO

Project Team Maestro

Overall Objectives

Scientific Foundations

Application Domains

New Results

Contracts and Grants with Industry

ADR “Semantic Networking” and “Self Optimizing Wireless Networks” of INRIA Alcatel-Lucent Bell Labs joint laboratory (2008–2011)
Grant from Orange Labs on “Content-Centric Networking” (October 2010 – September 2012)
Grant from Orange Labs on “Quality of Service and Quality of Experience” (July 2010 – June 2011)
Grant from Orange Labs on “Self Optimization in Networks” (October 2009 – September 2012)
Research Contract with the Flowxy startup (September 2010 – September 2011)

Partnerships and Cooperations

Dissemination

Bibliography

Section: Scientific Foundations

The main mathematical tools and formalisms used in Maestro include:

theory of stochastic processes: Markov process, point process, Palm measure, large deviations, branching process, mean-field approximation;
theory of dynamical discrete-event systems: queues, fluid approximation;
theory of control and scheduling: dynamic programming, Markov decision process, game theory, deterministic and stochastic scheduling, pathwise comparison;
theory of singular perturbations;
random matrix theory.