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- Title
Clusterix-Like BigData DBMS.
- Authors
Raikhlin, Vadim A.; Klassen, Roman K.
- Abstract
Commercial OLAP systems are economically unavailable for organizations with limited financial capabilities. Analytical processing of large amounts of data in these organizations can be accomplished using open-source software systems on a cost-effective cluster platform. Previously created Clusterix-like DBMS using a regular query processing plan is not efficient enough. Therefore, research on such systems was developed with a focus on a full load of processor cores and using the GPU acceleration (systems Clusterix-N, N—from new) up to the development of a system comparable in efficiency to the open-source system Spark, which is currently considered the most promising. The development methodology was based on the constructive system modeling methodology.
- Subjects
SYSTEMS software; SYSTEMS development; PRODUCTION planning; GRAPHICS processing units; FINANCIAL databases
- Publication
Data Science & Engineering, 2020, Vol 5, Issue 1, p80
- ISSN
2364-1185
- Publication type
Article
- DOI
10.1007/s41019-020-00116-2