LTE base station big data mining method and device based on memory-mapped files

Abstract

The invention discloses an LTE base station big data mining method and device based on memory-mapped files. The method comprises the steps of creating one memory-mapped file F1 for all base stations to store current period original counter information; storing original counter in F1 according to a predefined data structure M; creating a memory-mapped file F2 and copying original counter data in F1 into F2 when it is time for current period integrality statistics; ranking all M structures in F2, reading and comparing all M structures in F2, conducting count counting on the comparison result, and then calculating the integrality of the current index. By the adoption of the method and device, files stored on magnetic discs are processed with the memory-mapped files, I / O operation on files is reduced, original counter integrality calculation efficiency is improved, and platform memory consumption, expansion difficulty and corresponding cost are reduced.

Description

technical field [0001] The present invention relates to the field of wireless communication technology, in particular to a memory-mapped file-based big data mining method and device for improving the statistical efficiency of the complete rate of the original counter (original index parameter reported by the LTE base station) of an LTE (Long Term Evolution) base station. Background technique [0002] With the wide application of computers and the rapid development of computer technology, people's ability to use information technology to collect data has been greatly improved. Big data exists in various fields such as business management, government office, scientific research and engineering development. Facing massive amounts of data, how to effectively discover valuable information or knowledge is a very difficult task. Data mining is to extract knowledge that people are interested in from a large amount of data, which is implicit, previously unknown and potentially useful...

AI Technical Summary

Problems solved by technology

[0003] Existing data mining technologies require computers with large storage and computing capabilities, and even knowledge in related scientific fields such as cloud computing and artificial intelligence. Although these technical methods can improve the efficiency of data mining to a certain extent, they often It leads to a great waste of system resources and increases the cost of project deployment

Especially the original counter of LTE (LongTerm Evolution) base station has a large amount of data and is difficult to mine

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