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The approach for improvement of knowledge bases organization in optical data networks cluster
Author(s): Vadim Malinovskyi; Jacek Klimek; Aliya Kalizhanova
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Paper Abstract

This work devoted to some approach to for improve of knowledge bases organization in optical data networks cluster based in modern, cutting edge technologies in knowledge bases which are composed of united data bases with POSTGRESQL, MONGO {DB}) big data access technologies. These environments can provide working in actual times with Big Data in multicomponent fiber optic data networks cluster. The proposed approaches and architecture can be used to create new generation optical distributed networks with same cluster, based on GRID architecture with highspeed optical channels (5NGi Optical Internet). Parallel GRID based architectural can effectively to work with artificial intelligence (AIs) algorithms and architecture.

Paper Details

Date Published: 6 November 2019
PDF: 7 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111760F (6 November 2019); doi: 10.1117/12.2536699
Show Author Affiliations
Vadim Malinovskyi, Vinnytsia National Technical Univ. (Ukraine)
Jacek Klimek, Lublin Univ. of Technology (Poland)
Aliya Kalizhanova, Institute of Information and Computational Technologies (Kazakhstan)
Al-Farabi Kazakh National Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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