Hierarchical Semi-Sparse Cubes-Parallel Framework for Storing Multi-Modal Big Data in HDF5
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F23%3A00581668" target="_blank" >RIV/67985815:_____/23:00581668 - isvavai.cz</a>
Result on the web
<a href="https://hdl.handle.net/11104/0349775" target="_blank" >https://hdl.handle.net/11104/0349775</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2023.3323897" target="_blank" >10.1109/ACCESS.2023.3323897</a>
Alternative languages
Result language
angličtina
Original language name
Hierarchical Semi-Sparse Cubes-Parallel Framework for Storing Multi-Modal Big Data in HDF5
Original language description
In this article, we present a revised version of the Hierarchical Semi-Sparse Cube (HiSS-Cube) framework. It aims to provide highly parallel processing of combined multi-modal multi-dimensional big data. The main contributions of this study are as follows: 1) Highly parallel construction of a database built on top of the HDF5 framework. This database supports parallel queries 2) design of a database index on top of HDF5 that can be easily constructed in parallel 3) support of efficient multi-modal big data combinations. We tested the scalability and efficiency on big astronomical spectroscopic and photometric data obtained from the Sloan Digital Sky Survey. The performance of HiSS-Cube is bounded by the I/O bandwidth and I/O operations per second of the underlying parallel file system, and it scales linearly with the number of I/O nodes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
11
Issue of the periodical within the volume
November
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
119876-119897
UT code for WoS article
001100997000001
EID of the result in the Scopus database
2-s2.0-85174830822