Polling optimization method and apparatus based on monitoring plug-in states

Abstract

The embodiment of the invention discloses a polling optimization method based on monitoring plug-in states. The method comprises the following steps: classifying state monitoring plug-ins into a state monitoring plug-in returning a normal monitoring result and a state monitoring plug-in returning an alarm monitoring result, then judging whether the state monitoring plug-ins can accomplish normal polling within a preset polling time limit, and adopting different polling strategies, so that the state monitoring plug-in returning the alarm monitoring result can accomplish complete execution in each turn of polling, thereby reducing the situation of alarm delay caused by the untimely polling of the alarm monitoring plug-in, maximally guaranteeing the accuracy and timeliness of the alarm of the monitoring software while guaranteeing the overall monitoring effect of the software, and solving the technical problem that the existing computer manufacturers solve the overstock problem of the monitoring plug-ins by adjusting the monitoring interval of the monitoring software, resulting in that the alarming monitoring devices cannot be maximally and preferentially processed in a polling system of the monitoring plug-ins.

Description

technical field [0001] The invention relates to the field of resource monitoring and management, in particular to a polling optimization method and device based on monitoring plug-in status. Background technique [0002] The current monitoring management software is becoming more and more common. The monitoring data collection of equipment by monitoring management software is mostly carried out in the form of monitoring plug-ins. When there are many monitoring devices, it is necessary to write a large number of monitoring Polling these plug-ins to remotely collect hardware information on the monitoring device through SNMP protocol, IPMI protocol, etc. For the software on the server side, regular polling and information collection occupy a large amount of resources for the server of the monitoring software, resulting in a great waste of resources. Regular polling and information collection often lead to untimely monitoring information when there are many monitoring plug-ins....

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a polling optimization method and device based on monitoring plug-in status, by first classifying status monitoring plug-ins into status monitoring plug-ins returning normal monitoring results and status monitoring plug-ins returning alarm monitoring results, and then judging the status Whether the monitoring plug-in can finish polling normally within the preset polling time limit, so that different polling strategies are adopted, so that the status monitoring plug-in that returns the alarm monitoring result can be executed in each round of polling, reducing the occurrence of alarm monitoring plug-in rounds. The alarm delay caused by untimely inquiry, while ensuring the overall monitoring effect of the software, maximizes the accuracy and timeliness of the monitoring software alarms, and solves the problem of monitoring plug-ins by adjusting the monitoring interval of the monitoring software at present. The backlog problem caused by the technical problem of the monitoring equipment that cannot give priority to alarms within the monitoring plug-in polling system

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