We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload sc...
Marjorie Bardeen, Eric Gilbert, Thomas Jordan, Pau...
— The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates management...
Grid computing can be characterized as a distributed infrastructure that is a collection of computing resources within or across locations that are aggregated to act as a unified ...
Marinho P. Barcellos, Maziar Nekovee, M. Koyabe, M...
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded processors to underloaded processors during execution are critical techniques ne...
— This article presents an evolution of classical SPMD programming for clusters and grids. It is named ”Object-Oriented SPMD” as it is based on remote method invocation. More...
In this article we present the design choices and the evaluation of a batch scheduler for large clusters, named OAR. This batch scheduler is based upon an original design that emp...
Nicolas Capit, Georges Da Costa, Yiannis Georgiou,...
— The arrival of the P2P model has opened many new avenues for research within the field of distributed computing. This is mainly due to important practical features (such as su...
Gabriel Antoniu, Philip J. Hatcher, Mathieu Jan, D...
— Resource reservations in advance are a mature concept for the allocation of various resources, particularly in grid environments. Common grid toolkits support advance reservati...
Lars-Olof Burchard, Barry Linnert, Joerg Schneider
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, K...