The approach for improvement of knowledge bases organization in optical data networks cluster

Vadim Malinovskyi, Jacek Klimek, Aliya Kalizhanova

2019

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DOI 10.1117/12.2536699
Data confidence 70 medium
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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.