Target demand-oriented method for converting SNMP data into JSON data

By calculating the word frequency, inverse document frequency and information gain of SNMP data, weight information is obtained and data classification and storage is performed, the problem of low SNMP data conversion efficiency is solved, and the efficiency of data conversion and system response speed is improved.

CN119250025APending Publication Date: 2025-01-03ANHUI DINGJIA COMPUTER TECH CO LTD
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Patent Information

Application Number
CN202411234680.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

The prior art is inefficient when converting SNMP data to JSON data, requiring a lot of manual processing, resulting in low data conversion efficiency.

Method used

By calculating the word frequency information, inverse document frequency information and information gain information of SNMP data, calculate the weight information, and classify the data according to the weight information, data conversion is performed using preset storage units and object identifiers, and data access and access are optimized. .

Benefits of technology

Improves the efficiency of data conversion, reduces unnecessary data processing, simplifies data conversion steps, and allows the system to respond to different target requirements more quickly.

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Abstract

The invention relates to a method and a device for converting SNMP (Simple Network Management Protocol) data into JSON (JavaScript Object Notation) data for a target demand, computer equipment, a computer readable storage medium and a computer program product, which can be applied to the technical field of computers. The method comprises the steps of calculating word frequency information, inverse document frequency information and information gain information of SNMP data according to preset keywords; calculating weight information of the SNMP data according to the word frequency information, the inverse document frequency information and the information gain information; classifying the SNMP data according to the weight information to obtain a classification result of the SNMP data; according to a classification result, storing the SNMP data in a preset storage unit in a classified manner; according to a received target demand, reading target SNMP data from the SNMP data stored in the preset storage unit; and according to the object identifier in the target SNMP data, converting the target SNMP data into JSON data. By adopting the method, the data conversion efficiency can be improved.
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Citation Information

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