The Community for Technology Leaders
High-Performance Distributed Computing, International Symposium on (2004)
Honolulu, Hawaii USA
June 4, 2004 to June 6, 2004
ISSN: 1082-8907
ISBN: 0-7803-2175-4
pp: 14-23
B. F. Spencer, Jr. , UIUC, Champaign, IL
Laura Pearlman , University of Southern California, Los Angeles
Sridhar Gullapalli , University of Southern California, Los Angeles
Ian Foster , Argonne National Laboratory, IL; University of Chicago, IL
Paul Hubbard , University of Chicago, IL
Charles Severance , University of Michigan, Ann Arbor, MI
Joe Futrelle , UIUC, Champaign, IL
Kathleen Ricker , UIUC, Champaign, IL
Carl Kesselman , University of Southern California, Los Angeles
Earthquake engineers have traditionally investigated the behavior of structures with either computational simulations or physical experiments. Recently, a new hybrid approach has been proposed that allows tests to be decomposed into independent substructures that can be located at different test facilities, tested separately, and integrated via a computational simulation. We describe a Grid-based architecture for performing such novel distributed hybrid computational/physical experiments. We discuss the requirements that underlie this extremely challenging application of Grid technologies, describe our architecture and implementation, and discuss our experiences with the application of this architecture within an unprecedented earthquake engineering test that coupled large-scale physical experiments in Illinois and Colorado with a computational simulation. Our results point to the remarkable impacts that Grid technologies can have on the practice of engineering, and also contribute to our understanding of how to build and deploy effective Grid applications.
B. F. Spencer, Jr., Laura Pearlman, Sridhar Gullapalli, Ian Foster, Paul Hubbard, Charles Severance, Joe Futrelle, Kathleen Ricker, Carl Kesselman, "Distributed Hybrid Earthquake Engineering Experiments: Experiences with a Ground-Shaking Grid Application", High-Performance Distributed Computing, International Symposium on, vol. 00, no. , pp. 14-23, 2004, doi:10.1109/HPDC.2004.11
96 ms
(Ver 3.3 (11022016))