Data acquisition optimization method and system

Abstract

The invention discloses a data acquisition optimization method and a data acquisition optimization system. The method comprises the following steps that: an operation and maintenance centre (OMC) determines a uniform minimal report particle size for each network element, configures the offset of a report time for each network element according to the minimal report particle size, and transmits an offset-containing performance task to each network element; and after receiving the performance task, the network element determines the report time for reporting performance data according to the offset in the performance task. By adopting the data acquisition optimization method and the data acquisition optimization system provided by the invention, tremendous pressure, caused by large amount of file transmission, of the OMC can be avoided and the load of a server can be reduced.

Description

technical field [0001] The invention relates to the communication field, in particular to a method and system for optimizing data collection. Background technique [0002] In the overall requirements of the OMC (Operations&Maintenance Center, operation and maintenance center), the requirement for the performance module is to be able to collect and manage performance index data of 10,000 network elements. The collection granularity can be set by the user, and the options include two granularities of 15 minutes and 30 minutes. [0003] The main process of data collection is as follows: [0004] First create a performance task in OMC. The main content of the task includes: which network elements to collect data, which performance indicators to collect, the granularity of collection, and the start and end time of collection; [0005] After the performance task is delivered to the network element, the network element collects and counts performance indicators for each granulari...

AI Technical Summary

Problems solved by technology

[0007] The current data acquisition solution mainly has the following two defects: First, the concurrent upload volume of FTP is too large, at most 10,000 network elements will be uploaded at the same time, and the number of FTP connections allocated to the performance management module by the OMC system is limited , only 30; second, the transmission is frequent, and the minimum collection granularity currently supported is 15 minutes, that is to say, in the limit case, 10,000 network elements will upload files every 15 minutes

This will cause long-term congestion of the FTP server and high system resource usage. In addition, after the collection granularity ends, some network elements still fail to obtain FTP links, so that the upload of performance index data cannot be completed.

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