In production Grids for scientific applications, service and resource failures must be detected and addressed quickly. In this paper, we describe the monitoring infrastructure use...
Ann L. Chervenak, Jennifer M. Schopf, Laura Pearlm...
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
Interoperability between different Grid implementations is attracting more and more attention to seamlessly job execution. In this paper, one approach is proposed to implement the...
Multi agent systems, Grid technology, Semantic Web, and Web Intelligence paradigm are three modern approaches in information technologies, which we put together in our research eff...