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Column-Oriented Data Store for Astrophysical Data

Authors: Jakub Yaghob; David Bednárek; Martin Krulis; Filip Zavoral;

Column-Oriented Data Store for Astrophysical Data

Abstract

Astrophysical databases have used proprietary formats (especially the FITS format) to represent measured data and related metadata. The design of the FITS format was influenced by punch cards, thus it is extremely inappropriate for modern hardware. Even though this format is well established in the domain of astrophysics and will be definitely used as a common ground for data exchange, a new representation is required if the data are to be processed efficiently in a high performance manner. In this paper, we propose a specialized column-oriented format for the measured data, which allows much faster loading from the persistent data storage and direct application of the data in computational operations. Furthermore, we have tested various I/O methods implemented in modern operating systems to accommodate different access patterns that were observed in various use cases. We have created a prototype implementation of the proposed methods and experimentally evaluated their benefits.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
Average
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