Distributed data storage for modern astroparticle physics experiments

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 experiment...

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Bibliographic Details
Main Authors: Kryukov, Alexander, Nguyen, Minh-Duc, Bychkov, Igor, Mikhailov, Andrey, Shigarov, Alexey, Dubenskaya, Julia
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2019
Subjects:
Distributed, Parallel, and Cluster Computing cs.DC
High Energy Astrophysical Phenomena astro-ph.HE
Instrumentation and Methods for Astrophysics astro-ph.IM
FOS Computer and information sciences
FOS Physical sciences
taiga
Online Access:https://dx.doi.org/10.48550/arxiv.1907.06863
https://arxiv.org/abs/1907.06863
Description
Summary: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 of files or as aggregated events from different sources. In the last case the storage provides users with a special service that aggregates data from different storages into a single sample. Thanks to this feature, multi-messenger methods used for more sophisticated data exploration can be applied. Users can use both Web-interface and Application Programming Interface (API) for accessing the storage. In this paper we describe the architecture of a distributed data storage for astroparticle physics and discuss the current status of our work.

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