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Scope

ValueTools 2012 is an interdisciplinary conference whose goal is to gather and to facilitate the flow of expertise between researchers from different communities working on performance evaluation, optimization, and stochastic modeling in complex systems.

Owing to recent technological advances and the massive connectivity of our "always-online" era, these issues have attracted considerable interest in the fields of Computer Science, Control Theory, Networks and Telecommunications, Operations Research, and Signal Processing, and, traditionally, all these communities have had a strong presence in the organization and steering of the conference. Correspondingly, ValueTools 2012 solicits previously unpublished contributions that propose new performance evaluation methodologies (or help clarify the limitations of older ones) in practical complex scenarios, and new tools (or novel applications of already established ones) with which to control the performance of complex systems where traditional methods have failed to produce appealing results.

New: ValueTools 2012 will comprise six thematic tracks aimed to provide an in-depth look into different aspects of performance evaluation methodologies and tools. These tracks are:

Economic Challenges in Telecommunication Systems
Game Theory in Communication Networks
Information Theory and Performance Evaluation
Mean Field Control, Games and Applications
Stochastic Geometry and Communication Networks
Worst Case End-to-end Performance Evaluation

See here for more details on the thematic tracks.

The conference is seeking contributions on performance evaluation techniques and tools from areas including (but not restricted to):

Complex systems (self-organized criticality, emergent properties)
Control theory (optimal control, multiobjective optimization and control, stochastic control, robust control and stabilization, model predictive control, hybrid and switched systems, control and performances, differential games control)
Discrete event systems (Petri nets, max-plus algebra, automata, timed automata)
Game theory (algorithmic game theory, dynamic games, equilibrium analysis, learning in games, mechanism design, evolutionary game theory)
Machine learning and neural networks (learning automata, learning theory, ODE approximations, stochastic differential equations)
Mean field theory
Queueing theory (Markovian queues and networks, network calculus, analytical methods, approximation methods, (in)sensitivity, dynamic Fluid Models, diffusion models, Dam processes, perturbation approaches, control of queues)
Random matrix theory
Rare events and Monte Carlo simulation (parallel/distributed simulations, variance reduction techniques, large deviations, hybrid system simulation, Markov chain Monte Carlo methods, sequential Monte Carlo methods...)
Stochastic geometry (percolation, random graphs)
Stochastic modeling (stochastic geometry, long-range dependence, self-similarity, point processes, traffic models and measurements)