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)

Аннотация

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

ASJC Scopus subject areas

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

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  • 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