http://arxiv.org/abs/1812.01906
A distributed data warehouse system is one of the actual issues in the field of astroparticle physics. Famous experiments, such as TAIGA, KASCADE-Grande, produce tens of terabytes of data measured by their instruments. It is critical to have a smart data warehouse system on-site to store the collected data for further distribution effectively. It is also vital to provide scientists with a handy and user-friendly interface to access the collected data with proper permissions not only on-site but also online. The latter case is handy when scientists need to combine data from different experiments for analysis. In this work, we describe an approach to implementing a distributed data warehouse system that allows scientists to acquire just the necessary data from different experiments via the Internet on demand. The implementation is based on CernVM-FS with additional components developed by us to search through the whole available data sets and deliver their subsets to users’ computers.
M. Nguyen, A. Kryukov, J. Dubenskaya, et. al.
Thu, 6 Dec 18
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Comments: 5 pages, 3 figures, The 8th International Conference “Distributed Computing and Grid-technologies in Science and Education” (GRID 2018)