Processing of raw astronomical data of large volume by MapReduce model

Abstract

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 important computational task in astrophysics - raw astronomical image data processing.

Keywords

• mapreduce
• hadoop
• небесный обзор
• большие данные
• облачные вычисления
• обработка изображений