Distributed Hybrid Earthquake Engineering Experiments: Experiences with a Ground-Shaking Grid Application

Authors:
Laura Pearlman;Carl Kesselman;Sridhar Gullapalli;B. F. Spencer, Jr.;Joe Futrelle;Kathleen Ricker;Ian Foster;Paul Hubbard;Charles Severance
Affiliations:
University of Southern California, Los Angeles;University of Southern California, Los Angeles;University of Southern California, Los Angeles;UIUC, Champaign, IL;UIUC, Champaign, IL;UIUC, Champaign, IL;Argonne National Laboratory, IL/ University of Chicago, IL;University of Chicago, IL;University of Michigan, Ann Arbor, MI
Venue:
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Year:
2004

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Abstract

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.