2004
DOI: 10.1117/12.550551
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Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand

Abstract: This paper describes the design of a grid-enabled version of Montage, an astronomical image mosaic service, suitable for large scale processing of the sky. All the re-projection jobs can be added to a pool of tasks and performed by as many processors as are available, exploiting the parallelization inherent in the Montage architecture. We show how we can describe the Montage application in terms of an abstract workflow so that a planning tool such as Pegasus can derive an executable workflow that can be run in… Show more

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Cited by 123 publications
(91 citation statements)
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“…We constructed an evaluation workflow using the Montage toolkit [31]. Montage is able to generate workflows for assembling high-resolution mosaics of regions of the sky from raw input data.…”
Section: The Montage Workflowmentioning
confidence: 99%
“…We constructed an evaluation workflow using the Montage toolkit [31]. Montage is able to generate workflows for assembling high-resolution mosaics of regions of the sky from raw input data.…”
Section: The Montage Workflowmentioning
confidence: 99%
“…Using virtualization in conjunction with Grid computing, known as "cloud computing" or Infrastructure-as-a-Service (IaaS), has been recognized as a potential solution to these problems [8,9]. This paper looks at the differences between running scientific workflows on the cloud and running them on the Grid, using the Montage [10] application and Pegasus-WMS, a scientific workflow software [11,12]. Our perspective is not that of a computer scientist trying to analyze detailed performance metrics, but rather that of a domain scientist who can use a number of different computing environments to perform computations.…”
Section: Introductionmentioning
confidence: 99%
“…Another related application in astronomy is MONTAGE [49,50], a national virtual observatory project [51] that stitches tiles of images of the sky from various sky surveys (e.g. SDSS [19], etc) into a photorealistic single image.…”
Section: Astronomymentioning
confidence: 99%