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Applying Fuzzy Computing Methods for On-line Monitoring of New Generation Network Elements

  • Igor Kotenko
  • Igor Saenko
  • Sergey Ageev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

New generation networks belong to the class of big sophisticated heterogeneous hierarchical geographically distributed systems. Their functional characteristics, defining reliability, are the main characteristics which provide the application of these networks for their intended purpose. The paper offers the method of on-line functional monitoring of technical states of the new generation network elements based on application of a hierarchical fuzzy logical inference. The method and the generalized algorithm of on-line functional monitoring of technical states are developed. For realization of the offered method, the technology of intelligent agents is used. The functional structure of the intelligent agent is offered. The order of its interaction with a network element is considered. Results of modeling have shown a high efficiency of the offered approach. The possibility of the hardware-software realization of the offered method and algorithm a near real time mode is shown.

Keywords

New generation network Situation network Monitoring Fuzzy logical inference 

Notes

Acknowledgements

This work was partially supported by grants of RFBR (projects No. 16-29-09482, 18-07-01369, 18-07-01488), by the budget (the project No. AAAA-A16-116033110102-5), and by Government of Russian Federation (Grant 08-08).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)Saint-PetersburgRussia
  2. 2.St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Saint-PetersburgRussia

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