A Service Performance Prediction Method for Video Website

A video website and service performance technology, which is applied in the field of video website service performance prediction that integrates multiple information sources, can solve problems such as large deviations in website performance prediction, and achieve the effect of improving accuracy

Active Publication Date: 2019-08-06
ZHENGZHOU SEANET TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problem existing in the existing method is that the data of a single indicator is used for prediction, without considering the data of other information sources. When the network situation fluctuates greatly, the prediction of website performance will have a large deviation

Method used

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  • A Service Performance Prediction Method for Video Website
  • A Service Performance Prediction Method for Video Website
  • A Service Performance Prediction Method for Video Website

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] The present invention provides a video website service performance prediction method, the steps of which include:

[0046] Step (1) by deploying the measurement program on the node to simulate the user request, regularly measure the connection time and download rate of the video website two service performance indicators;

[0047] Step (2) From the data measured in step 1, calculate the correlation coefficient of download rate and connection time, if the absolute value of the correlation coefficient exceeds the preset threshold, it is determined that the two sequences are correlated, otherwise it is determined that the two sequences are not correlated;

[0048] Step (3) In step 2, if it is determined that the two sequences are correlated, put the measured connection time and historical data of the download rate into the website performance prediction data set, otherwise only put the download rate into the data set. Then linearly normalize the data set;

[0049] Step (4...

Embodiment 2

[0052]Both data measurement and service performance prediction models of the present invention operate on a single node.

[0053] A single node regularly measures the connection time and download rate of the video website through the measurement program, and then calculates the correlation between the connection time and the download rate. After integrating the data set, the parameters are dimensionless and normalized. Then select an appropriate time series forecasting model or machine learning model for forecasting, and denormalize the forecasted results to obtain the real forecasted value.

[0054] In a use case such as figure 2 As shown, it is assumed that the measurement program is deployed on node 1, and the download rate and connection time of the video website are measured regularly. The node predicts the download rate in the future according to the above method according to the measured data.

[0055] Take the download rate prediction of node 1 as an example to illus...

Embodiment 3

[0096] In addition, the present invention also provides a service performance prediction system for a video website, the system comprising:

[0097] The preprocessing module is used to regularly measure the performance parameters of the video website by simulating user requests, and calculate the correlation coefficient between the performance parameters;

[0098] If the absolute value of the correlation coefficient exceeds the preset threshold, store the values ​​of all performance parameters into the performance prediction data set of the corresponding website, otherwise, only store the download rate into the performance prediction data set of the corresponding website;

[0099] Wherein, the performance parameters include: connection time and download rate;

[0100] The prediction module is used to perform parameter dimensionless and normalized preprocessing on the prediction data set, and predict the service performance of the video website at the next moment based on the d...

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Abstract

The invention discloses a method for predicting service performance of a video website. The method comprises: step 101) through simulating a user request, measuring video website performance parameters at regular time, calculating a correlation coefficient of the performance parameters; if the absolute value of the correlation coefficient exceeds a preset threshold value, storing values of all performance parameters to a performance prediction data set of a corresponding website, if not, just storing download velocity to a performance prediction data set of the corresponding website, wherein the performance parameters include connection time and download velocity; step 102) performing parameter nondimensionalization and normalization preprocessing on the prediction data set, based on the data and a time sequence model or a machine learning model obtained by the preprocessing, predicting service performance of the video website at next moment, performing reverse normalization on the normalization prediction result output by the time sequence model or the machine learning model, to obtain a real service performance prediction value which can be obtained by accessing the video website by the user at next moment.

Description

technical field [0001] The invention relates to the field of website service performance prediction, in particular to a video website service performance prediction method that integrates multiple information sources, and belongs to the field of network service performance prediction. Background technique [0002] For a video content, there are many video websites in the network that can provide services. Because video websites provide services through the dynamic Internet, the service performance of video websites cannot be kept stable, and will change with changes in network environment, server load and other factors, resulting in periodic and transient service performance changes Case. For this reason, the analysis of historical data to accurately predict the service performance of video websites in the future is a key issue in selecting and using video sources that meet user needs, which is of great significance. [0003] At present, the main ideas of the existing vide...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/34
CPCG06F11/3447G06F11/3466
Inventor 刘学薛寒星尤佳莉
Owner ZHENGZHOU SEANET TECH CO LTD
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