Distributed Adaptive Test Monitoring Data Classification Technique Based on Data Fields

Aiming at the problem that monitoring data in cross-domain tests face a large amount of data and cross categories, we establish a test monitoring data classification system, study the distributed adaptive data classification technology based on data fields, cut and assign the classification task to nodes at different levels by using a distributed data processing scheme to make the classification modular and low-coupling, and realize fast and accurate classification of cross-domain test monitoring data to achieve the purpose of improving the monitoring efficiency of test data by different test personnel and fast access to key data.