Method and system for generating service threshold by historical data based on network monitoring indexes

Abstract

The invention provides a method and a system for generating a service threshold by historical data based on network monitoring indexes. The method comprises steps: S1, monitoring item index historical data during a time period for the current time in history corresponding to date attributes of the same day are acquired; S2, abnormal data in the monitoring item index historical data are removed, and the average value of the remaining data after the abnormal data in the monitoring item index historical data are removed serves as a baseline value R for the monitoring item index; and S3, according to the baseline value R, a threshold or a threshold interval corresponding to the baseline value R is obtained. Based on the index historical data, the service threshold is calculated and generated respectively according to the date attributes and the time, the abnormal data are removed, a different baseline deviation value can be set, the actual condition in the case of network monitoring application can be met, and the accuracy of monitoring warning is improved.

Description

technical field [0001] The invention relates to the field of network operation monitoring, in particular to an alarm method and system for generating business thresholds from historical data based on network monitoring indicators. Background technique [0002] The network operation monitoring system is used to monitor the operation of the network. By collecting several operation indicators in the network, it reflects the operation health status of the network, and provides early warning for possible fault points in the network, which plays an important role in the long-term stable operation of the network. [0003] A network operation monitoring system collects network operation indexes and analyzes the collected index values. The usual method is to compare the index values ​​with the set thresholds to determine whether the index values ​​are within the normal range, so as to reflect the operation health status of the network. . If there are indicators that exceed the thres...

AI Technical Summary

Problems solved by technology

For example, the network traffic index of a securities company's trading system will have a large difference between working days and non-working days, and there will also be large fluctuations at different times of the day. If it is distinguished from non-working days, a more accurate dynamic threshold cannot be obtained

At the same time, if the abnormal historical indicator data is not excluded, the accuracy of the calculated dynamic threshold will be affected, and frequent alarms will occur.

Images