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dc.contributor.author Simms, Stephen C.
dc.contributor.author Davy, Matthew
dc.contributor.author Hammond, C. Bret
dc.contributor.author Link, Matthew R.
dc.contributor.author Teige, Scott
dc.contributor.author Baik, Mu-Hyun
dc.contributor.author Manri, Yogita
dc.contributor.author Lord, Richard
dc.contributor.author McMullen, D.F. (Rick)
dc.contributor.author Huffman, John C.
dc.contributor.author Huffman, Kia
dc.contributor.author Juckeland, Guido
dc.contributor.author Kluge, Michael
dc.contributor.author Henschel, Robert
dc.contributor.author Brunst, Holger
dc.contributor.author Knuepfer, Andreas
dc.contributor.author Mueller, Matthias
dc.contributor.author Mukund, P.R.
dc.contributor.author Elble, Andrew
dc.contributor.author Pasupuleti, Ajay
dc.contributor.author Bohn, Richard
dc.contributor.author Das, Sripriya
dc.contributor.author Stefano, James
dc.contributor.author Pike, Gregory G.
dc.contributor.author Balog, Douglas A.
dc.contributor.author Stewart, Craig A.
dc.date.accessioned 2012-07-27T14:12:18Z
dc.date.available 2012-07-27T14:12:18Z
dc.date.issued 2007-11
dc.identifier.uri http://hdl.handle.net/2022/14615
dc.description.abstract In 2006, Indiana University led a team that received an honorable mention in the SC06 bandwidth challenge. The following year, IU expanded its team to include representatives of Technische Universität Dresden (TUD) in Germany and the Rochester Institute of Technology (RIT) in New York. The title of the 2007 project was “Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization.” We believe that distributed workflows represent an important category of scientific application workflows that make possible new and more rapid discoveries using grids and distributed workflow tools. We believe that short-term storage systems have a particularly important role to play in distributed workflows. The IU Data Capacitor is a 535 TB distributed object store file system constructed for short- to mid-term storage of large research data sets. en
dc.description.sponsorship The Data Capacitor project is supported in part by the National Science Foundation under NSF Award Number CNS0521433 (Craig Stewart, PI; Stephen Simms, Co-PI and project manager; Caty Pilachowski, Randall Bramley and Beth Plale, Co-PIs). IU's involvement in the TeraGrid is supported in part by NSF grants ACI-0338618l, OCI-0451237, OCI-0535258, and OCI-0504075. IU's Big Red Supercomputer was funded in part by a grant from the Lilly Endowment, Inc. for the Indiana METACyt Initiative. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Lilly Endowment Inc. en
dc.language.iso en_US en
dc.subject bandwidth challenge en
dc.subject supercomputing en
dc.subject dc-wan en
dc.subject lustre en
dc.title SC|07 Bandwidth Challenge award-winning project: Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization en
dc.type Technical Report en
dc.altmetrics.display true en


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