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The Montage Architecture for GridEnabled Science Processing of Large, Distributed Datasets (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Jacob, Joseph C. Berriman, G. Bruce Laity, Anastasia C. Katz, Daniel S. Good, John C. Prince, Thomas |
| Abstract | Challenge project that will deploy a portable, compute-intensive, custom astronomical image mosaicking service for the National Virtual Observatory (NVO). Although Montage is developing a compute- and data-intensive service for the astronomy community, we are also helping to address a problem that spans both Earth and space science: how to efficiently access and process multi-terabyte, distributed datasets. In both communities, the datasets are massive, and are stored in distributed archives that are, in most cases, remote with respect to the available computational resources. Therefore, use of stateof-the-art computational grid technologies is a key element of the Montage portal architecture. This paper describes the aspects of the Montage design that are applicable to both the Earth and space science communities. I. |
| File Format | |
| Publisher Date | 2004-01-01 |
| Publisher Institution | in Proceedings of the Earth Science Technology Conference (ESTC |
| Access Restriction | Open |
| Subject Keyword | Data-intensive Service Space Science Community Montage Design Available Computational Resource Distributed Datasets Montage Architecture Distributed Archive Key Element Process Multi-terabyte Astronomy Community Gridenabled Science Processing Custom Astronomical Image Mosaicking Service Challenge Project Montage Portal Architecture Space Science Stateof-the-art Computational Grid Technology National Virtual Observatory |
| Content Type | Text |
| Resource Type | Proceeding |
