Architecture of scalability file system for meteorological observation data storing

I. A. Botygin, V. N. Popov, V. A. Tartakovsky, Vladislav Stanislavovich Sherstnev

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

6 Цитирования (Scopus)

Выдержка

The approach allows to organize distributed storage of large amounts of diverse data in order to further their parallel processing in high performance cluster systems for problems of climatic processes analysis and forecasting. For different classes of data was used the practice of using meta descriptions-like formalism associated with certain categories of resources. Development of a metadata component was made based on an analysis of data of surface meteorological observations, atmosphere vertical sounding, atmosphere wind sounding, weather radar observing, observations from satellites and others. A common set of metadata components was formed for their general description. The structure and content of the main components of a generalized meta descriptions are presented in detail on the example of reporting meteorological observations from land and sea stations.

Язык оригиналаАнглийский
Название основной публикацииProceedings of SPIE - The International Society for Optical Engineering
ИздательSPIE
Том9680
ISBN (печатное издание)9781628419085
DOI
СостояниеОпубликовано - 2015
Событие21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Российская Федерация
Продолжительность: 22 июн 201526 июн 2015

Другое

Другое21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
СтранаРоссийская Федерация
ГородTomsk
Период22.6.1526.6.15

Отпечаток

File System
Metadata
files
Scalability
metadata
sounding
Meteorological radar
Atmosphere
meteorological radar
atmospheres
Satellites
Parallel Processing
Weather
forecasting
Radar
Forecasting
resources
High Performance
Processing
stations

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Цитировать

Botygin, I. A., Popov, V. N., Tartakovsky, V. A., & Sherstnev, V. S. (2015). Architecture of scalability file system for meteorological observation data storing. В Proceedings of SPIE - The International Society for Optical Engineering (Том 9680). [96800J] SPIE. https://doi.org/10.1117/12.2205749

Architecture of scalability file system for meteorological observation data storing. / Botygin, I. A.; Popov, V. N.; Tartakovsky, V. A.; Sherstnev, Vladislav Stanislavovich.

Proceedings of SPIE - The International Society for Optical Engineering. Том 9680 SPIE, 2015. 96800J.

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Botygin, IA, Popov, VN, Tartakovsky, VA & Sherstnev, VS 2015, Architecture of scalability file system for meteorological observation data storing. в Proceedings of SPIE - The International Society for Optical Engineering. том. 9680, 96800J, SPIE, 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Tomsk, Российская Федерация, 22.6.15. https://doi.org/10.1117/12.2205749
Botygin IA, Popov VN, Tartakovsky VA, Sherstnev VS. Architecture of scalability file system for meteorological observation data storing. В Proceedings of SPIE - The International Society for Optical Engineering. Том 9680. SPIE. 2015. 96800J https://doi.org/10.1117/12.2205749
Botygin, I. A. ; Popov, V. N. ; Tartakovsky, V. A. ; Sherstnev, Vladislav Stanislavovich. / Architecture of scalability file system for meteorological observation data storing. Proceedings of SPIE - The International Society for Optical Engineering. Том 9680 SPIE, 2015.
@inproceedings{16ff54455935409f804e2d5c647b3575,
title = "Architecture of scalability file system for meteorological observation data storing",
abstract = "The approach allows to organize distributed storage of large amounts of diverse data in order to further their parallel processing in high performance cluster systems for problems of climatic processes analysis and forecasting. For different classes of data was used the practice of using meta descriptions-like formalism associated with certain categories of resources. Development of a metadata component was made based on an analysis of data of surface meteorological observations, atmosphere vertical sounding, atmosphere wind sounding, weather radar observing, observations from satellites and others. A common set of metadata components was formed for their general description. The structure and content of the main components of a generalized meta descriptions are presented in detail on the example of reporting meteorological observations from land and sea stations.",
keywords = "Big data, distributed file system, hydrometeorological observation data., metadescription, operational code data",
author = "Botygin, {I. A.} and Popov, {V. N.} and Tartakovsky, {V. A.} and Sherstnev, {Vladislav Stanislavovich}",
year = "2015",
doi = "10.1117/12.2205749",
language = "English",
isbn = "9781628419085",
volume = "9680",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",

}

TY - GEN

T1 - Architecture of scalability file system for meteorological observation data storing

AU - Botygin, I. A.

AU - Popov, V. N.

AU - Tartakovsky, V. A.

AU - Sherstnev, Vladislav Stanislavovich

PY - 2015

Y1 - 2015

N2 - The approach allows to organize distributed storage of large amounts of diverse data in order to further their parallel processing in high performance cluster systems for problems of climatic processes analysis and forecasting. For different classes of data was used the practice of using meta descriptions-like formalism associated with certain categories of resources. Development of a metadata component was made based on an analysis of data of surface meteorological observations, atmosphere vertical sounding, atmosphere wind sounding, weather radar observing, observations from satellites and others. A common set of metadata components was formed for their general description. The structure and content of the main components of a generalized meta descriptions are presented in detail on the example of reporting meteorological observations from land and sea stations.

AB - The approach allows to organize distributed storage of large amounts of diverse data in order to further their parallel processing in high performance cluster systems for problems of climatic processes analysis and forecasting. For different classes of data was used the practice of using meta descriptions-like formalism associated with certain categories of resources. Development of a metadata component was made based on an analysis of data of surface meteorological observations, atmosphere vertical sounding, atmosphere wind sounding, weather radar observing, observations from satellites and others. A common set of metadata components was formed for their general description. The structure and content of the main components of a generalized meta descriptions are presented in detail on the example of reporting meteorological observations from land and sea stations.

KW - Big data

KW - distributed file system

KW - hydrometeorological observation data.

KW - metadescription

KW - operational code data

UR - http://www.scopus.com/inward/record.url?scp=84963632399&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963632399&partnerID=8YFLogxK

U2 - 10.1117/12.2205749

DO - 10.1117/12.2205749

M3 - Conference contribution

AN - SCOPUS:84963632399

SN - 9781628419085

VL - 9680

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

ER -