In the daily wireless network optimization of operators, one of the key problems to be solved is how to efficiently and automatically collect, parse, correlate and store the northbound parameter files, and ensure the reliability of the data as well as the high concurrency and high availability of the service in this process. Aiming at the shortcomings of the existing general data collection solutions in terms of performance and scalability, this paper researches and implements a set of high-performance and high-availability centralized collection system of northbound wireless parameter data, which significantly improves the efficiency and performance of data collection and storage and reduces the maintenance cost of the existing data collection by means of the centralized and distributed processing scheme and the database mechanism of incremental data updating and comparing. The system realizes full automation of database schema building and parameter field association back-filling, and when the northbound parameter specification is updated, only simple modification of relevant configurations is needed to complete the adaptation, which significantly reduces the system iteration development cost.

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Centralized Data Collection System with High-Performance and High-Availability for Northbound Wireless Parameters

  • Jimin Ling,
  • Jinhu Shen,
  • Pengcheng Liu,
  • Shenglong Li,
  • Mingjie Yang,
  • Yang Liu,
  • Zeyi Yang,
  • Xiaoxuan Du

摘要

In the daily wireless network optimization of operators, one of the key problems to be solved is how to efficiently and automatically collect, parse, correlate and store the northbound parameter files, and ensure the reliability of the data as well as the high concurrency and high availability of the service in this process. Aiming at the shortcomings of the existing general data collection solutions in terms of performance and scalability, this paper researches and implements a set of high-performance and high-availability centralized collection system of northbound wireless parameter data, which significantly improves the efficiency and performance of data collection and storage and reduces the maintenance cost of the existing data collection by means of the centralized and distributed processing scheme and the database mechanism of incremental data updating and comparing. The system realizes full automation of database schema building and parameter field association back-filling, and when the northbound parameter specification is updated, only simple modification of relevant configurations is needed to complete the adaptation, which significantly reduces the system iteration development cost.