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High-performance remote access to climate simulation data: a challenge problem for data grid technologies
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Proceedings of the 2001 ACM/IEEE conference on Supercomputing (CDROM) table of contents
Denver, Colorado
Pages: 46 - 46  
Year of Publication: 2001
ISBN:1-58113-293-X
Authors
Bill Allcock  Argonne National Laboratory
Ian Foster  Argonne National Laboratory
Veronika Nefedova  Argonne National Laboratory
Ann Chervenak  University of Southern California
Ewa Deelman  University of Southern California
Carl Kesselman  University of Southern California
Jason Lee  Lawrence Berkeley National Laboratory
Alex Sim  Lawrence Berkeley National Laboratory
Arie Shoshani  Lawrence Berkeley National Laboratory
Bob Drach  Lawrence Livermore National Laboratory
Dean Williams  Lawrence Livermore National Laboratory
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS\DATC : IEEE Computer Society
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 55,   Citation Count: 20
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ABSTRACT

In numerous scientific disciplines, terabyte and soon petabyte-scale data collections are emerging as critical community resources. A new class of Data Grid infrastructure is required to support management, transport, distributed access to, and analysis of these datasets by potentially thousands of users. Researchers who face this challenge include the Climate Modeling community, which performs long-duration computations accompanied by frequent output of very large files that must be further analyzed. We describe the Earth System Grid prototype, which brings together advanced analysis, replica management, data transfer, request management, and other technologies to support high-performance, interactive analysis of replicated data. We present performance results that demonstrate our ability to manage the location and movement of large datasets from the user's desktop. We report on experiments conducted over SciNET at SC'2000, where we achieved peak performance of 1.55Gb/s and sustained performance of 512.9Mb/s for data transfers between Texas and California.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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"Climate Data Analysis Tool," http://www.pcmdi.llnl.gov/software/cdat/index.html.
 
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A. Chervenak, I. Foster, C. Kesselman, C. Salisbury, and S. Tuecke, "The Data Grid: Towards an Architecture for the Distributed Management and Analysis of Large Scientific Data Sets," J. Network and Computer Applications, pp. 187-200, 2001.
 
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I. Foster and C. Kesselman, "Globus: A Metacomputing Infrastructure Toolkit," International Journal of Supercomputer Applications, vol. 11, pp. 115-128, 1997.
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I. Foster and C. Kesselman, "A Data Grid Reference Architecture," GriPhyN 2001-6, 2001.
 
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I. Foster, C. Kesselman, and S. Tuecke, "The Anatomy of the Grid: Enabling Scalable Virtual Organizations," Intl. J. Supercomputer Applications, vol. (to appear), 2001.
 
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P. A. Fox, J. Garcia, and P. Kellogg, "The HAO Data Service: Experience in Interdisciplinary Data Delivery," presented at Proc. of the CODATA 2000 Workshop, US National Academy, 2000.
 
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NTONC, "NTON Connection in support of SC2000," http://www.ntonc.org/docs/NTON_ConnectionsForSC2000v1.1.ppt, 2000.
 
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B. Tierney, "TCP Tuning Guide for Distributed Applications on Wide Area Networks," presented at Usenix; login, 2001.
 
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CITED BY  20

Collaborative Colleagues:
Bill Allcock: colleagues
Ian Foster: colleagues
Veronika Nefedova: colleagues
Ann Chervenak: colleagues
Ewa Deelman: colleagues
Carl Kesselman: colleagues
Jason Lee: colleagues
Alex Sim: colleagues
Arie Shoshani: colleagues
Bob Drach: colleagues
Dean Williams: colleagues