Processing of raw astronomical data of large volume by MapReduce model

Exponential grow of volume, increased quality of data in current and incoming sky surveys open new horizons for astrophysics but require new approaches to data processing especially big data technologies and cloud computing. This work presents a MapReduce-based approach to solve a major and importan...

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Bibliographic Details

Published in:	Труды Института системного программирования РАН
Main Authors:	S. . Gerasimov, A. . Mesheryakov, I. . Kolosov, E. . Glotov, I. . Popov
Format:	Article
Language:	English
Published:	Russian Academy of Sciences, Ivannikov Institute for System Programming 2018-10-01
Subjects:	mapreduce hadoop небесный обзор большие данные облачные вычисления обработка изображений
Online Access:	https://ispranproceedings.elpub.ru/jour/article/view/929