COGNITIVE MONITORING IN AN INFORMATION AND COMMUNICATION NETWORK OPERATION SYSTEM

Abstract

A method for increasing the functionality of existing types of monitoring used in modern information and communication networks based on the use of cognitive technologies is proposed. Modern cognitive technologies are allowed to combine the implementation of traditional monitoring procedures with predictive procedures and the ability to recognize the upcoming changes in the state of the object. The implementation of these procedures involves the consistent implementation of the stages of short-term, situational and long-term forecasting. This allows the identification in advance of the possibility of emergency situations on the object, directly recognize the moments of their occurrence and make timely decisions about the need to reconfigure the resources of the monitoring object, thus maintaining its state in accordance with the standards of technical operation. Long-term forecasting provides the identification of the emerging trend of changes in the dynamic characteristics of an object, which makes it possible to decide in advance about the need to reconstruct the information and communication network, when the means of reconfiguring its resources are already ineffective. The listed procedures are implemented by means of statistical analysis and generally solve the problem of creating a system of preventive technical operation. The paper proposes a cognitive monitoring system architecture that mediates the interaction of existing monitoring tools and control systems and technical operation. The implementation of cognitive monitoring procedures in the functional plane of the TMN concept is shown by adding prediction functions and recognizing emergency situations. The proposed method is also interpreted in terms of the concept of TINA, the introduction of the prognostic monitoring application into the software functional plane.