Publications

The montage architecture for grid-enabled science processing of large, distributed datasets

Abstract

(ESTO) Computational Technologies (CT) Round III Grand 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.

Date
2004
Authors
Joseph C Jacob, Daniel S Katz, Thomas Prince, G Bruce Berriman, John C Good, Anastasia C Laity, Ewa Deelman, Gurmeet Singh, Mei-Hui Su
Publisher
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration