Principal component analysis of time delay in large IP network

Network time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the dee...

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Main Authors: Xuan WEI, Xiaoying HUANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2021-04-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021059/
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author Xuan WEI
Xiaoying HUANG
author_facet Xuan WEI
Xiaoying HUANG
author_sort Xuan WEI
collection DOAJ
description Network time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the deep reason of time delay and the interdependencies among nodes of the network, a scientific and reasonable network time delay evaluation system was built, and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future, PCA can be applied to the real-time on-line monitoring and analysis of the network performance, such as network traffic, network delay, network packet loss, etc., in combination with the network topology, current network traffic direction, routing, distance and other related factors, thus the efficiency and quality of network operations can be further improved.
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institution Kabale University
issn 1000-0801
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-1fd65a5fbcf34a138f0425f33d4196b12025-01-15T03:26:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-04-0137627259807610Principal component analysis of time delay in large IP networkXuan WEIXiaoying HUANGNetwork time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the deep reason of time delay and the interdependencies among nodes of the network, a scientific and reasonable network time delay evaluation system was built, and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future, PCA can be applied to the real-time on-line monitoring and analysis of the network performance, such as network traffic, network delay, network packet loss, etc., in combination with the network topology, current network traffic direction, routing, distance and other related factors, thus the efficiency and quality of network operations can be further improved.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021059/network time delayprincipal component analysiscoefficient matrixproportion of variance
spellingShingle Xuan WEI
Xiaoying HUANG
Principal component analysis of time delay in large IP network
Dianxin kexue
network time delay
principal component analysis
coefficient matrix
proportion of variance
title Principal component analysis of time delay in large IP network
title_full Principal component analysis of time delay in large IP network
title_fullStr Principal component analysis of time delay in large IP network
title_full_unstemmed Principal component analysis of time delay in large IP network
title_short Principal component analysis of time delay in large IP network
title_sort principal component analysis of time delay in large ip network
topic network time delay
principal component analysis
coefficient matrix
proportion of variance
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021059/
work_keys_str_mv AT xuanwei principalcomponentanalysisoftimedelayinlargeipnetwork
AT xiaoyinghuang principalcomponentanalysisoftimedelayinlargeipnetwork