Approximate ad-hoc query engine for simulation data
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.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15005540
- Report Number(s):
- UCRL-JC-142228; TRN: US200323%%314
- Resource Relation:
- Conference: 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; Other Information: PBD: 1 Feb 2001
- Country of Publication:
- United States
- Language:
- English
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