Health monitoring system and method under multi-place and multi-center architecture

Abstract

The invention provides a health monitoring system and method under a multi-place and multi-center architecture, and relates to the technical field of system management. The system comprises a multi-place and multi-center deployment subsystem deployed under the multi-place and multi-center architecture and used for monitoring health information of the architecture; an abnormity detection and analysis subsystem used for detecting component abnormity under the architecture, and carrying out disaster recovery switching according to a detection result; and a scoring subsystem used for carrying out health scoring on the multi-place and multi-center architecture according to set scoring configuration parameters and the health information and evaluating the health state according to a scoring result. Thus, abnormal problems possibly occurring under the multi-place and multi-center architecture can be accurately, timely and flexibly judged, monitoring of faults of major disaster scenes, equipment, components and the like is met, the health state of each framework is displayed through the health score, and the monitoring accuracy and efficiency are effectively improved.

Description

technical field [0001] The invention relates to the technical field of system management, in particular to a health monitoring system and method under a multi-site and multi-center framework. Background technique [0002] In order to achieve disaster recovery and multiple activities in the computer room, enterprises often need to build multiple centers in multiple places to meet business needs, but problems also arise. How to judge the health status of the huge computer room system and when to decide to switch the computer room has become a difficult problem for enterprises. At present, the commonly used method is to manually monitor the running status of the machines in each computer room. Although major disaster scenarios such as power outages, fires, and network breakdowns can be monitored, it is not easy to monitor small numbers or even individual machine failures. In addition, manual monitoring will increase labor costs, and manual monitoring will inevitably lead to mo...

AI Technical Summary

Problems solved by technology

At present, the commonly used method is to manually monitor the running status of the machines in each computer room. Although it can monitor major disaster scenarios such as power outages, fires, and network failures, it is not easy to monitor a small number or even individual machines that fail.

In addition, manual monitoring will increase labor costs, and manual monitoring will inevitably lead to monitoring errors or errors, causing unnecessary impact on the enterprise

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