Monitoring data level-to-level management method, device and equipment based on charging cloud platform

Abstract

The embodiment of the invention discloses a monitoring data level-to-level management method, device and equipment based on a charging cloud platform, and relates to the field of data processing. The method comprises the following steps of classifying and dividing charging monitoring data of a charging cloud platform to generate dimension data, and setting a flow control threshold value for at least part of the dimension data; the TPS value of the dimension data is counted in real time, whether a flow control threshold value is set for the current dimension data or not is judged, and if yes, flow control operation is executed on the current dimension data based on the flow control threshold value; and if not, performing fusing operation on the current dimension data based on the maximum threshold value. According to the method, different control strategies are adopted for monitoring data of different dimensions in a hierarchical management mode, the situation that the whole reporting process is affected by sudden increase of data of one dimension is avoided, and continuous and normal processing of the monitoring data is effectively guaranteed.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method, device and equipment for hierarchical management of monitoring data based on a charging cloud platform. Background technique [0002] In the prior art, the monitoring data collection and management method of the charging cloud platform generally adopts a one-size-fits-all processing method, that is, once the monitoring data exceeds the set threshold, the fuse processing is performed to prevent the monitoring client from being exploded. The problem with this processing method is that, on the one hand, the fusing strategy is too simple, and a sudden increase in monitoring data in one dimension will cause the entire monitoring management system to fuse, thereby affecting the normal reporting of monitoring data in other dimensions; on the other hand, for the fusing threshold The fixed value setting method is adopted, and there is no flexible mechanism for adjusting the fusing...

AI Technical Summary

Problems solved by technology

The problem with this approach is that, on the one hand, the fusing strategy is too single, and a sudden increase in monitoring data in one dimension will cause the entire monitoring management system to be fusing, thereby affecting the normal reporting of monitoring data in other dimensions; on the other hand, for the fusing threshold Using fixed value setting method, there is no flexible mechanism to adjust the fusing threshold

[0003] Therefore, based on the problems existing in the monitoring data management of the existing charging cloud platform, it is necessary to provide a monitoring data hierarchical management method to avoid affecting the entire monitoring reporting process due to abnormal monitoring data in one dimension

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