Indiana University’s SC|07 Bandwidth Challenge award-winning project: Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization. Simms, S., C., Davy, M., Hammond, C., B., Link, M., R., Stewart, C., A., Teige, S., Baik, M., Mantri, Y., Lord, R., McMullen, D., (., Huffman, J., C., Huffman, K., Juckeland, G., Kluge, M., Henschel, R., Brunst, H., Knuepfer, A., Mueller, M., Mukund, P., Elble, A., Pasupuleti, A., Bohn, R., Das, S., Stefano, J., Pike, G., G., & Balog, D., A. Technical Report 2007. Website abstract bibtex 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.
@techreport{
title = {Indiana University’s SC|07 Bandwidth Challenge award-winning project: Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization},
type = {techreport},
year = {2007},
keywords = {bandwidth challenge,dc,lustre,supercomputing,wan},
websites = {https://scholarworks.iu.edu/dspace/handle/2022/14615},
id = {3a1e1e79-338f-3b5a-b7ee-3bedf1997317},
created = {2020-09-10T23:23:22.854Z},
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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.},
bibtype = {techreport},
author = {Simms, Stephen C. and Davy, Matthew and Hammond, C. Bret and Link, Matthew R. and Stewart, Craig A. and Teige, Scott and Baik, Mu-Hyun and Mantri, Yogita and Lord, Richard and McMullen, D.F. (Rick) and Huffman, John C. and Huffman, Kia and Juckeland, Guido and Kluge, Michael and Henschel, Robert and Brunst, Holger and Knuepfer, Andreas and Mueller, Matthias and Mukund, P.R. and Elble, Andrew and Pasupuleti, Ajay and Bohn, Richard and Das, Sripriya and Stefano, James and Pike, Gregory G. and Balog, Douglas A.}
}
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