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A method and big data system for monitoring data communication service quality

A quality of service and data communication technology, applied in the field of mobile convergence, can solve problems such as inability to warn of risks

Active Publication Date: 2022-08-02
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem solved by the solution provided according to the embodiment of the present invention is that it is impossible to timely warn potential risks or quickly locate existing faults

Method used

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  • A method and big data system for monitoring data communication service quality
  • A method and big data system for monitoring data communication service quality
  • A method and big data system for monitoring data communication service quality

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Embodiment Construction

[0023] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the preferred embodiments described below are only used to illustrate and explain the present invention, but not to limit the present invention.

[0024] figure 1 is a flow chart of a method for monitoring the quality of data communication services provided by an embodiment of the present invention, such as figure 1 shown, including:

[0025] Step S101: the big data system obtains log processing results and log statistics results of each network element by performing log processing on the log data sent by the bill log server of each network element;

[0026] Step S102: the big data system performs service quality monitoring on the key index data of the network element log according to the obtained log processing results and log statistics results of each network element, and determines whether the key index data ...

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Abstract

The invention discloses a data communication service quality monitoring method and a big data system. The method includes Kafka producers sending logs on network elements to big data in real time, and the brokers of the big data Kafka cluster receive the log data and then start The spark streaming task calls the kafka consumer to process log data. Write log processing results and statistical results to Elasticsearch in real time. At the same time, some real-time statistical results are written to hdfs, and the data on hdfs is read during offline daily and monthly statistics, and then the statistical results are written to Elasticsearch. After the storage is completed, the key indicators are monitored and judged in real time. When the key indicators are found to change, an early warning prompt is issued to the operation and maintenance personnel in time, so that the fault can be manually intervened before it occurs or at the beginning. exclude.

Description

technical field [0001] The invention relates to the technical field of mobile convergence, in particular to a method and a big data system for monitoring the quality of data communication services. Background technique [0002] With the gradual expansion and deepening of social networking, operators are also focusing on launching social platforms based on mobile terminals. The number of elements is increasing, and many interrelated network elements make manual maintenance more difficult, and it is impossible to give early warning of potential risks in time, or to quickly locate existing faults. Once a fault occurs or the fault cannot be quickly located and solved, it will seriously affect the user's perception and use. SUMMARY OF THE INVENTION [0003] The technical problem solved by the solutions provided according to the embodiments of the present invention is that it is impossible to give early warning of potential risks in time, or to quickly locate faults that have o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/069H04L41/0631H04L41/0677G06F16/14G06F16/182G06F16/2458
CPCH04L41/0631H04L41/0677H04L41/069
Inventor 周悦来
Owner ZTE CORP