Falkon: a Fast and Light-weight tasK executiON framework
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Accelerating large-scale data exploration through data diffusion
DADC '08 Proceedings of the 2008 international workshop on Data-aware distributed computing
Middleware support for many-task computing
Cluster Computing
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Astronomy datasets are generally terabytes in size and contain hundreds of millions of objects separated into millions of files-factors which makes many analyses impractical to perform on small computers. The key question we answer in this paper is: "How can we leverage Grid resources to make the analysis of large astronomy datasets a reality for the astronomy community?" To address this question, we have developed a Web Services-based system, AstroPortal, that uses grid computing to federate large computing and storage resources for dynamic analysis of large datasets. Building on the GT4, we have built a prototype and implemented a first analysis, "stacking," that sums multiple regions of the sky, a function that can help both identify variable sources and detect faint objects. AstroPortal gives the astronomy community a new tool to advance their research and to open new doors to opportunities never before possible on such a large scale.