Intelligent Network Monitoring System Based on Self-Similar Model

Abstract

The invention discloses an intelligent network monitoring system based on a self-similar model, which comprises a data source receiving module, a service modeling and analysis module, a dynamic service quality monitoring module, an access layer equipment operation module, an automatic intervention module and an alarm setting module, wherein the data source receiving module encapsulates data into a current network access behavior of a customer and service quality information; the service modeling and analysis module establishes corresponding customer service behavior models; the dynamic service quality monitoring module compares service models of the customer and judges whether a user service is normal; the automatic intervention module presets a workflow and conducts intelligent intervention to solve network abnormalities; and the alarm setting module take remote intervention measures when a network is abnormal. The system is developed on the basis of a self-similar theoretical design, is adaptable to actual analysis and monitoring of the network better, and can find the abnormities in the network more efficiently and accurately. A flow model of the system is diversified and convenient in deep intrinsic reaction to an online behavioral habit of the customer, quick and accurate position and intelligent repair of the network abnormities, and alarm as well as manual intervention.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to an intelligent network monitoring system based on a self-similar model. Background technique [0002] With the rapid development of the Internet, network users are increasing year by year. With the increase in quantity, the requirements for network quality are becoming more and more prominent, especially for some large customers, network quality is particularly important. Network failure rate, convergence speed, business monitoring and management efficiency, etc. are closely related to user experience satisfaction, but the old management model is increasingly unable to adapt to the current network environment. Network operators must actively intervene and manage customer service quality in order to reduce the impact of network failures on customers and improve service quality. [0003] Traditional network quality management is usually implemented through firewalls, ac...

AI Technical Summary

Problems solved by technology

Like the access control list, QOS also has the defect that it cannot change with network changes and lacks the necessary intelligence

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