Service-Oriented Science: Scaling eScience Impact

Authors:
Ian Foster
Affiliations:
Argonne National Laboratory & University of Chicago, USA
Venue:
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Year:
2006

Citing 3
Cited 2

The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Scaling System-Level Science: Scientific Exploration and IT Implications

Computer
Globus toolkit version 4: software for service-oriented systems

NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing

Hierarchical Classifiers for Complex Spatio-temporal Concepts

Transactions on Rough Sets IX
Analysing scientific workflows with Computational Tree Logic

Cluster Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Computational approaches to problem solving have proven their worth in many fields of science, allowing the collection and analysis of unprecedented quantities of data, and the exploration via simulation of previously obscure phenomena. New "systems" approaches in fields as diverse as biology [12], earthquake science [11], and environmental science [3] are enabled by, and are spurring the further development of, such computational approaches. But as computational and system-level science methods become increasingly sophisticated, we must ask: how do we scale their impact, from the specialist to entire communities [7]?