Telephone traffic data processing method and system of mobile communication network

Abstract

The invention discloses a telephone traffic counting data processing method of a mobile communication network. The method comprises the following steps that: S1, a data interface module obtains previous counter data of each factory terminal and analyses to obtain a data exchanging file; S2, a counter operation calling module rapidly loads the data exchanging file to an internal memory database in batch to generate network optimization previous KPI (Key Performance Indicator) index data; and S3, a data collection calculation module triggers the previous KPI index data in the internal memory database according to requirements to be collected into the KPI index data of each dimension to be calculated, and the collected KPI index data is put into a relation database and is transferred into a network optimization system by the relation database. According to different dimensions of collection calculations and regular calculations of a telephone traffic counting index, calculation and storage are respectively realized through internal memory data and a common relation type database, so that high data processing speed and high throughput rate are obtained by the whole system, and the instantaneity and the stability of the system are greatly improved.

Description

technical field [0001] The invention relates to a mobile communication network traffic data processing method and system, belonging to the technical field of communication data processing. Background technique [0002] Traffic statistical data is an important means to understand network performance. The ultimate goal of traffic statistical data analysis is to guide network optimization or network evaluation. Through the analysis of specific traffic statistics indicators, find out the possible causes of poor indicators, quickly locate problems and Provide network optimization suggestions. Traffic statistical data has the characteristics of large quantity, high real-time requirements, and complex definitions. Therefore, whether the traffic statistical data can be processed accurately, quickly and effectively is of great significance to the network optimization business of mobile communication. [0003] The current existing solutions mainly use ordinary relational databases...

AI Technical Summary

Problems solved by technology

However, this method uses a general relational database to undertake the two different responsibilities of data calculation and storage, which cannot well meet the high throughput and high real-time requirements in traffic statistics data processing, often causing performance bottlenecks in the entire system. It also makes the post-system maintenance workload more heavy

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