Published 2019
| Version v1
Journal article
A Distributed Storage for Astroparticle Physics
Creators
- 1. M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics, 119992 Leninskiy gory-1, Moscow (Russian Federation)
Description
In this paper we present the architecture of a distributed data storage for astroparticle physics. The main advantage of the proposed architecture is the possibility to extract data on both file and event level for further processing and analysis. The storage also provides users with a special service allowing to aggregate data from different storages into a single sample. This feature permits to apply multi-messenger methods for more sophisticated investigation of the data. Users can use both Webinterface and Application Programming Interface (API) for accessing the storage.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/12/epjconf_vlvnt2018_08003.pdf; https://doaj.org/article/2e01643dc12440809d440c8a8ec4a49cAdditional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 207
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- International Conference on Very Large Volume Neutrino Telescopes
- Acronym
- VLVnT-2018
- Dates
- 2-4 Oct 2018
- Place
- Dubna (Russian Federation)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53098053
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER ARCHITECTURE; DATA BASE MANAGEMENT; DATA PROCESSING; INFORMATION SYSTEMS; PROGRAMMING
- Descriptors DEC
- MANAGEMENT; PROCESSING