John C. Good

TL;DR: The results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities are presented.

TL;DR: The NASA Exoplanet Archive as mentioned in this paper is a database and toolset for the exoplanet community, containing properties of all published exoplanets, Kepler planet candidates, threshold-crossing events, data validation reports and target stellar parameters, light curves from the Kepler and CoRoT missions and from several ground-based surveys, and spectra and radial velocity measurements from the literature.

TL;DR: Using the Amazon cloud fee structure and a real-life astronomy application, the cost performance tradeoffs of different execution and resource provisioning plans are studied and it is shown that by provisioning the right amount of storage and compute resources, cost can be significantly reduced with no significant impact on application performance.

TL;DR: The results show that for Montage, a workflow with short job runtimes, the virtual environment can provide good compute time performance but it can suffer from resource scheduling delays and widearea communications.

TL;DR: Montage as discussed by the authors is a grid-enabled version of Montage, an astronomical image mosaic service, suitable for large scale processing of the sky, where re-projection jobs can be added to a pool of tasks and performed by as many processors as are available.