The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
Future Grid Networks should be able to provide Quality of Service (QoS) guarantees to their users. In this work we propose a framework for Grid Networks that provides deterministi...
Panagiotis C. Kokkinos, Emmanouel A. Varvarigos, N...
In this paper, we describe a prototype software framework that implements a formalized methodology for partitioning computational intensive applications between reconfigurable har...
Michalis D. Galanis, Athanasios Milidonis, George ...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
This paper presents a new approach for the execution of coarse-grain (tiled) parallel SPMD code for applications derived from the explicit discretization of 2-dimensional PDE prob...
Georgios I. Goumas, Nikolaos Drosinos, Vasileios K...