Approximate ad-hoc query engine for simulation data

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In this paper, we describe AQSim, an ongoing effort to design and implement a system to manage terabytes of scientific simulation data. The goal of this project is to reduce data storage requirements and access times while permitting ad-hoc queries using statistical and mathematical models of the data. In order to facilitate data exchange between models based on different representations, we are evaluating using the ASCI common data model which is comprised of several layers of increasing semantic complexity. To support queries over the spatial-temporal mesh structured data we are in the process of defining and implementing a grammar for ... continued below

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Abdulla, G.; Baldwin, C.; Critchlow, T.; Kamimura, R.; Lozares, I.; Musick, R. et al. February 1, 2001.

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Description

In this paper, we describe AQSim, an ongoing effort to design and implement a system to manage terabytes of scientific simulation data. The goal of this project is to reduce data storage requirements and access times while permitting ad-hoc queries using statistical and mathematical models of the data. In order to facilitate data exchange between models based on different representations, we are evaluating using the ASCI common data model which is comprised of several layers of increasing semantic complexity. To support queries over the spatial-temporal mesh structured data we are in the process of defining and implementing a grammar for MeshSQL.

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PDF-FILE: 5 ; SIZE: 78.1 KBYTES pages

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  • First Association for Computing Machinery and Institute for Electrical and Electronics Engineers Joint Conference on Digital Libraries, Roanoke, VA (US), 06/24/2000--06/28/2000

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  • Report No.: UCRL-JC-142228
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 15005540
  • Archival Resource Key: ark:/67531/metadc1405016

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  • February 1, 2001

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  • Jan. 23, 2019, 12:54 p.m.

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  • Feb. 5, 2019, 5:18 p.m.

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Abdulla, G.; Baldwin, C.; Critchlow, T.; Kamimura, R.; Lozares, I.; Musick, R. et al. Approximate ad-hoc query engine for simulation data, article, February 1, 2001; California. (https://digital.library.unt.edu/ark:/67531/metadc1405016/: accessed March 26, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.