Data center self-driven troubleshooting method and system based on WN-Spline baseline domain algorithm

Abstract

The invention discloses a data center self-driven troubleshooting method and a system based on a WN-Spline baseline domain algorithm, and the method comprises the steps: building a time sequence monitoring data unified index library in a data center scene, carrying out the data cleaning, and building a data warehouse; establishing a time sequence model by adopting a WN-Spline baseline domain algorithm, and predicting a baseline domain of each monitoring index in the unified index library under a specified time window based on the data warehouse; and judging whether the monitoring indexes are abnormal or not based on the baseline domain of each monitoring index in the unified index library under the specified time window, and performing fault self-healing through a self-driven fault removal mechanism. According to the method, the nonlinear monitoring index baseline domain is dynamically generated by adopting the WN-Spline baseline domain algorithm based on massive historical monitoring data, anomaly judgment and prediction are performed, the method can flexibly adapt to different application scenes, the real-time performance is high, and automatic fault elimination can be realized through flow switching and fault transfer.

Description

technical field [0001] The invention belongs to the field of computer intelligent operation and maintenance, and in particular relates to a data center self-driving troubleshooting method and system based on a WN-Spline baseline domain algorithm. Background technique [0002] In recent years, with the rapid development of related technologies such as machine learning and cloud computing, the effective management and operation and maintenance of cloud computing resources and data centers have become important issues to be solved urgently. Facing fine-grained, multi-dimensional computing and storage resources It requires high consumption of traditional operation and maintenance platforms and team human resources, and it is impossible to troubleshoot and fix problems in a short period of time and effectively. At this stage, tens of thousands of data nodes, computing nodes, sensors, terminals, etc. are usually running in the computer data centers of universities or Internet ente...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes a data center self-driving troubleshooting method and system based on the WN-Spline baseline domain algorithm, which is used to solve the problem that the data center monitoring data baseline setting is not flexible enough in a hybrid cloud computing environment

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