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Threshold expression analytic method

A parsing method and expression technology, applied in the field of threshold expression parsing, can solve the problems of long time parsing expressions, complex parsing process, slow parsing speed, etc., to simplify parsing process, shorten parsing time, and improve efficiency.

Inactive Publication Date: 2008-05-07
HUAWEI TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0023] 1. In the existing threshold expression analysis method, the threshold expression in IPMS must be converted from the in-order expression method to the post-order expression method for each analysis. The analysis process is relatively complicated and the speed is not high;
[0024] 2. In the existing threshold expression analysis method, a process from reading to the next performance data is performed for all performance data in the collected data report, that is, the number of execution cycles is the same as the number of performance data, Then when the amount of data contained in the collected data report is large, it takes a long time to complete the parsing expression
[0025] Therefore, existing threshold expression parsing methods are slow to parse

Method used

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Embodiment Construction

[0048] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0049] The present invention is a threshold expression analysis method in NMS, which converts the threshold expression from the in-order expression to the post-order expression in advance, stores it in the memory of the IPMS in the form of a stack, and saves the collected data report in the Map in advance. Among them, the basic ideas include:

[0050] A. Read the threshold expression represented by the post-sequence expression from the memory of the IPMS;

[0051] B. Take out the ME names in the threshold expression one by one, use the taken ME name as an index, find the corresponding value in the Map that saves the collected data report, and replace the ME name in the threshold expression with the found value;

[0052] C. Determining Threshold Expression Parsing R...

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Abstract

The method stores expression of threshold value in advance, and builds Map, which stores coincidence relation between ME name and value of measure entity in report of collected data. The method includes following steps: (1) reading out expression of threshold value stored; (2) picking up ME name of measure entity in expression of threshold value one by one; looking up value corresponding to ME name in the said Map by using ME name as index; replacing corresponding ME name in expression of threshold value by using looked up value; (3) based on replaced expression of threshold value, determining whether parsed result of expression of threshold value is true or false. The invention raises speed of parsing expression.

Description

technical field [0001] The invention relates to a network management system (NMS) technology, in particular to a threshold expression analysis method in the NMS. Background technique [0002] As the name implies, the function of NMS is to manage network devices and network lines. Through the network management system, the available time of the network can be greatly increased, the utilization rate of network units, network performance, service quality, security and economic benefits can be improved, and the management and control network operation can be reduced in a multi-standard and multi-vendor mixed network environment. cost and provide the basis for network planning. [0003] During network operation, the performance data of each network element has its own performance threshold. Specifically, the performance threshold refers to the boundary conditions set by the user in the form of logical expressions for a specific measurement object (MO). Usually, this logical ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24
Inventor 莱密斯古步山
Owner HUAWEI TECH CO LTD
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