One of the attractive features of Grid computing is that resources in geographically distant places can be mobilized to meet computational needs as they arise. A particularly chal...
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related dimensions", or...
Carlos A. Hurtado, Alberto O. Mendelzon, Alejandro...