Distributed data storage for modern astroparticle physics experiments
Alexander Kryukov, Minh-Duc Nguyen, Igor Bychkov, Andrey Mikhailov,, Alexey Shigarov, and Julia Dubenskaya

TL;DR
This paper presents a distributed data storage system designed for astroparticle physics experiments, enabling unified data management and multi-messenger analysis across multiple experiments with flexible access methods.
Contribution
It introduces a novel distributed storage architecture based on SWMR model, supporting data aggregation and multi-experiment integration for astroparticle physics.
Findings
Successful implementation of a unified storage interface
Enabling multi-messenger data analysis
Flexible data access via Web and API
Abstract
The German-Russian Astroparticle Data Life Cycle Initiative is an international project launched in 2018. The Initiative aims to develop technologies that provide a unified approach to data management, as well as to demonstrate their applicability on the example of two large astrophysical experiments - KASCADE and TAIGA. One of the key points of the project is the development of a distributed storage, which, on the one hand, will allow data of several experiments to be combined into a single repository with unified interface, and on the other hand, will provide data to all participants of experimental groups for multi-messenger analysis. Our approach to storage design is based on the single write-multiple read (SWMR) model for accessing raw or centrally processed data for further analysis. The main feature of the distributed storage is the ability to extract data either as a collection…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Big Data Technologies and Applications · Distributed and Parallel Computing Systems
