—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Most existing Grid technology has been foremost designed with performance and scalability in mind. When using Grid infrastructure for medical applications, privacy and security co...
— Data grids and its cost effective nature has taken on a new level of interest in recent years; amalgamation of different providers results in increased capacity as well as lowe...
Grid technologies are emerging as the next generation of distributed computing, allowing the aggregation of resources that are geographically distributed across different location...
Efficient job scheduling in grids is challenging due to the large number of distributed autonomous resources. In this paper we study various resource allocation policies in a 2-le...
Abstract. Grids reliability remains an order of magnitude below clusters on production infrastructures. This work is aimsed at improving grid application performances by improving ...
Diane Lingrand, Johan Montagnat, Janusz Martyniak,...
Edge-intersection graphs of paths in grids are graphs that can be represented with vertices as paths in grids and edges between the vertices of the graph exist whenever two grid pa...
—In this paper, we investigate the problem of supporting keyword-based searching for the discovery of software resources that are installed on the nodes of largescale, federated ...
George Pallis, Asterios Katsifodimos, Marios D. Di...
As demand for grid and cloud computing solutions increases, the need for user oriented software to provide access to theses resources also increases. Until recently the use of com...
Casey Rathbone, Lizhe Wang, Gregor von Laszewski, ...
—Data grids, such as the ones used by the high energy physics community, are used to share vast amounts of data across geographic locations. However, interactions with grid data ...
Karolina Sarnowska, Andrew S. Grimshaw, Erwin Laur...