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Framework for Approximate Queries on Simulation Data.

DE200415006312

Publication Date	2001
Personal Author	Abdulla, G.; Baldwin, C.; Crichlow, T.; Kamimura, R.; Lee, B.; Musick, R.; Snapp, R.; Tang, N. A.
Page Count	22
Abstract	AQSim is a system intended to enable scientists to query and analyze a large volume of scientific simulation data. The system uses the state of the art in approximate query processing techniques to build a novel framework for progressive data analysis. These techniques are used to define a multi-resolution index, where each node contains multiple models of the data. The benefits of these models are two-fold: (1) they are compact representations, reconstructing only the information relevant to the analysis, and (2) the variety of models capture different aspects of the data which may be of interest to the user but are not readily apparent in their raw form. To be able to deal with the data interactively, AQSim allows the scientist to make an informed tradeoff between query response accuracy and time.
Keywords	Data analysis Data processing Accuracy Simulation Representations Lawrence Livermore National Laboratory Multi-resolution index Approximate query
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200414

Framework for Approximate Queries on Simulation Data.

Framework for Approximate Queries on Simulation Data.
DE200415006312

Publication Date	2001
Personal Author	Abdulla, G.; Baldwin, C.; Crichlow, T.; Kamimura, R.; Lee, B.; Musick, R.; Snapp, R.; Tang, N. A.
Page Count	22
Abstract	AQSim is a system intended to enable scientists to query and analyze a large volume of scientific simulation data. The system uses the state of the art in approximate query processing techniques to build a novel framework for progressive data analysis. These techniques are used to define a multi-resolution index, where each node contains multiple models of the data. The benefits of these models are two-fold: (1) they are compact representations, reconstructing only the information relevant to the analysis, and (2) the variety of models capture different aspects of the data which may be of interest to the user but are not readily apparent in their raw form. To be able to deal with the data interactively, AQSim allows the scientist to make an informed tradeoff between query response accuracy and time.
Keywords	Data analysis Data processing Accuracy Simulation Representations Lawrence Livermore National Laboratory Multi-resolution index Approximate query
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200414