Method and system for acquiring performance data object

Abstract

The invention relates to a method and a system for acquiring performance data. The system comprises a network management device and managed equipment, wherein the network management device can receive an acquisition task which carries an acquisition node rule, judges whether the acquisition task needs self-adaptive processing or not, performs self-adaptive processing on the acquisition task if the acquisition task needs self-adaptive processing, and performs adaptation processing on the acquisition task and forms a new acquisition task if the acquisition task does not need self-adaptive processing; and the managed equipment comprises at least one node which can acquire corresponding performance data according to the new acquisition task. In the method and the system for acquiring the performance data, a node which is consistent with rule description is selected for acquiring the performance data through the acquisition task which carries the acquisition node rule, so that a bandwidth problem caused by performance data acquisition of all acquisition nodes by a network manager is solved, and performance data acquisition efficiency is improved.

Description

technical field [0001] The invention relates to the fields of computers and communications, in particular to a method and system for collecting performance data objects in a network management system. Background technique [0002] In the network management of communication equipment and other electronic equipment, the pros and cons of various operating states of the equipment are generally evaluated by collecting their counter data. However, if all the counter data is collected, it will have a huge impact on the operating performance of the equipment. Therefore, at present, a certain number of device nodes and counters corresponding to the device nodes are selected one by one, and data collection is performed within a specified time range. [0003] However, in the case of a large number of device nodes, it is very inconvenient to select device nodes that meet certain characteristics one by one to collect counter data. Moreover, for the network management, sending a collect...

AI Technical Summary

Problems solved by technology

[0003] However, in the case of a large number of device nodes, it is very inconvenient to select device nodes that meet certain characteristics one by one to collect counter data

Moreover, for the network management, sending the collection tasks with a huge number of collection nodes to the device nodes through files and messages will consume a large amount of bandwidth.

In addition, if the device nodes conforming to a certain characteristic are often changed, it is necessary to manually maintain the collection device nodes, which is extremely labor-intensive

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