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Bridging the Gap between Desktop and the Cloud for eScience Applications

, , , and . IEEE International Cloud Computing Conference (CLOUD), page 474--481. IEEE, (July 2010)CORE B.
DOI: 10.1109/CLOUD.2010.72

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GrayWulf: Scalable Software Architecture for Data Intensive Computing, , , , , , , , , and . MSR-TR-2008-186. Microsoft Research, (September 2008)Pan-STARRS: Learning to Ride the Data Tsunami, , , , , , , , , and 1 other author(s). Microsoft Research eScience Workshop, Microsoft, (December 2008)Talk.Automatic Provenance Recording for Scientific Data using Trident, , and . American Geophysical Union (AGU) Fall Meeting, AGU, (2008)Poster.BReW: Blackbox resource selection for e-Science workflows, , , , and . IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), page 1--10. (November 2010)Stargazing through a Digital Veil: Managing a Large Scale Sky Survey using Distributed Databases on HPC Clusters, , , and . Workshop on High-Performance Computing meets Databases (HPCDB), page 33--36. (2011)Fragmentation in Large Object Repositories, and . CoRR, (2006)To BLOB or Not To BLOB: Large Object Storage in a Database or a Filesystem?, , and . CoRR, (2007)Data-intensive science: The Terapixel and MODISAzure projects., , , , , , , , , and 2 other author(s). Int. J. High Perform. Comput. Appl., 25 (3): 304-316 (2011)Fragmentation in Large Object Repositories., and . CIDR, page 298-305. www.cidrdb.org, (2007)Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure., , , , and . eScience, page 126-133. IEEE Computer Society, (2011)