Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
The complexity of Grid environments is growing as more projects and applications appear in this quick-evolving domain. Widespread applications are distributed over thousands of com...
Franck Bonnassieux, Robert Harakaly, Pascale Prime...
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
In heterogeneous and dynamic distributed systems like the Grid, detailed monitoring of workload and its resulting system performance (e.g. response time) is required to facilitate...
Rui Zhang, Steve Moyle, Steve McKeever, Stephen He...
Conventional approaches to manage and control security seem to have reached their limits in new complex environments. These environments are open, dynamic, heterogeneous, distribut...
Anton Naumenko, Artem Katasonov, Vagan Y. Terziyan