Service system fault and performance prediction method based on monitoring data

Abstract

The method provides a service system fault and performance prediction method based on monitoring data. User operation behavior data are collected through a traffic monitoring manner of bypass monitoring, traffic data are obtained from a metropolitan area network switch through a mirror image port, the traffic data are passed to an SDN server, SDN technology is utilized to strip MPLS multi-layer protocols, and then the user operation behavior data are passed to a collection server; after completion of the step S1, original data cleaning and data categorization operation is carried out on the user operation behavior data, and pre-processing and aggregation of the user operation behavior data are realized; after completion of the step S2, modeling is carried out on the user behavior data, andfailure and performance prediction is realized; and a user use situation is predicted through a mathematical model, and scientific early warning judgment is realized. The method can judge network congestion and terminal performance or faults in advance, guide or help system service personnel in advance in solving problems, improve user experience of a service system, improve work efficiency, andreduce work pressure of operation and maintenance system personnel.

Description

technical field [0001] The invention relates to the technical field of network monitoring, and more specifically, to a monitoring data-based business system failure and performance prediction method. Background technique [0002] Users of prefectural and city business systems often encounter problems with terminals, browsers, and networks during use, which directly leads to a decline in system user experience. Due to the large number of users of the prefecture-city business system and its wide distribution, while the system operation and maintenance personnel are few and work in a centralized manner, it is easy to be overwhelmed when problems occur one after another; This is the case, and in the process of locating and processing the problem, the work of system users is in a state of stopping work or having a poor user experience. This is not only a trouble for operation and maintenance personnel, but also for business system users. The work efficiency is greatly reduced, a...

AI Technical Summary

Problems solved by technology

[0002] Users of prefecture-level business systems often encounter problems with terminals, browsers, and networks during use, which directly leads to a decline in user experience of the system

Due to the large number of users of the prefecture-city business system and its wide distribution, while the system operation and maintenance personnel are few and work in a centralized manner, it is easy to be overwhelmed when problems occur one after another; This is the case, and in the process of locating and processing the problem, the work of system users is in a state of stopping work or having a poor user experience. This is not only a trouble for operation and maintenance personnel, but also for business system users. The work efficiency is greatly reduced, and it is easy to cause a decline in work enthusiasm

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