Sampling frequency recommendation method and device, equipment and storage medium

Abstract

The invention provides a sampling frequency recommendation method and device, equipment and a storage medium, and relates to the technical field of communication. The sampling frequency recommendationmethod comprises the steps of obtaining a network key performance index of a to-be-analyzed data stream; sampling the network key performance index according to a plurality of different sampling frequencies to obtain an experience quality sequence corresponding to each sampling frequency, the plurality of different sampling frequencies comprising a standard sampling frequency and at least two to-be-tested sampling frequencies, and the standard sampling frequency being greater than each to-be-tested sampling frequency; And determining a matching degree between the experience quality sequence corresponding to each to-be-tested sampling frequency and the standard experience quality sequence, determining a recommended sampling frequency according to the matching degree between the experiencequality sequence corresponding to each to-be-tested sampling frequency and the standard experience quality sequence, and enabling the matching degree corresponding to the recommended sampling frequency to meet an expected condition. By using the technical scheme of the invention, the network experience quality, the network fault detection and identification capability and the network performance can be balanced.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular to a sampling frequency recommendation method, device, equipment and storage medium. Background technique [0002] In order to evaluate the performance of the network and optimize the network according to the performance of the network, a complete performance evaluation index system is equipped for the network. The performance evaluation of the network is realized by using the key performance indicator (Key Performance Indicator, KPI) of the network. Key performance indicators may include characteristics such as load rate, packet loss rate, and delay of devices at each layer in the network. [0003] For example, in the data streaming service scenario, the quality of experience of the data streaming service has gradually become one of the most concerned network performances. When a reliable transmission protocol, such as Transmission Control Protocol (TCP), is ...

AI Technical Summary

Problems solved by technology

However, the use of high sampling frequency requires storage and analysis of a large amount of sampling data, resulting in the occupation of a large amount of storage resources and computing resources of data analysis equipment, thereby reducing the performance of the network

The low sampling frequency will reduce the accuracy of identifying the quality of experience of the data stream service

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