Paper
6 November 2019 The approach for improvement of knowledge bases organization in optical data networks cluster
Vadim Malinovskyi, Jacek Klimek, Aliya Kalizhanova
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111760F (2019) https://doi.org/10.1117/12.2536699
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vadim Malinovskyi, Jacek Klimek, and Aliya Kalizhanova "The approach for improvement of knowledge bases organization in optical data networks cluster", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111760F (6 November 2019); https://doi.org/10.1117/12.2536699
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KEYWORDS
Databases

Network architectures

Artificial intelligence

Optical networks

Data processing

Fiber optic networks

Channel projecting optics

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