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Grid query optimization in the analysis of cone penetration testing data

Dudas, PM and Karimi, HA and Rezgui, A (2011) Grid query optimization in the analysis of cone penetration testing data. In: UNSPECIFIED UNSPECIFIED, 59 - 67. ISBN UNSPECIFIED

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Abstract

Soil liquefaction takes place during and/or after the occurrence of an earthquake and is a major contributor to urban seismic risk. Geologists use a technique called the cone penetration test (CPT) to determine the properties of soils, including liquefaction levels, which yields large amounts of soil data. The analysis of such massive amounts of data requires high-performance computing resources. In this paper, we present GQO (Grid Query Optimizer), a distributed algorithm that enables the analysis of large CPT data sets efficiently on a grid cyberinfrastructure. © 2011 The Geological Society of America. All rights reserved.


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Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Dudas, PM
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Rezgui, A
Date: 1 January 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Special Paper of the Geological Society of America
Volume: 482
Page Range: 59 - 67
DOI or Unique Handle: 10.1130/2011.2482(06)
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0072-1077
Date Deposited: 07 Jul 2012 14:24
Last Modified: 31 Jul 2020 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/12743

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