The goal of the POLARIS project is to contribute to the understanding
(from the observation, modeling and analysis to the actual
optimization through adapted algorithms) of the performance of very
large scale distributed systems by applying original ideas from
various research fields and application domains. Studying all these
different aspects at once without restricting to specific systems is
the key to push forward our understanding of such challenges and
propose innovative solutions. If large computing infrastructures are
naturally among our targets, the synergies with other data intensive
sciences leads us to consider other kind of big data processing
infrastructures as well. This is why we investigate problems arising
from application domains as varied as large computing infrastructures,
wireless networks, smart grids or transportation systems. The POLARIS
team works in close cooperation with other research teams on a
continuum of five research themes including measurement and
experimentation, statistical trace analysis and visualization,
discrete-event and perfect simulation, asymptotic modeling, stochastic
optimization and game theory.