In this paper we present a computational approach to developing effective training systems for virtual simulation environments. In particular, we focus on a Naval simulation syste...
Monica N. Nicolescu, Ryan E. Leigh, Adam Olendersk...
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
We seek to construct autonomous adaptive survivable systems that use active trust management to adapt their own behavior in the face of compromises in the computational environment...
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Em...
Decentralized resource allocation is a key problem for large-scale autonomic (or self-managing) computing systems. Motivated by a data center scenario, we explore efficient techn...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...