Traffic identification of network business based on multi-layer cascade algorithm

The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic managem...

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Main Authors: Feng HUANG, Yao WANG, Li HUANG, Jiming YAO, Shidong LIU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-12-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015399/
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author Feng HUANG
Yao WANG
Li HUANG
Jiming YAO
Shidong LIU
author_facet Feng HUANG
Yao WANG
Li HUANG
Jiming YAO
Shidong LIU
author_sort Feng HUANG
collection DOAJ
description The contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed,after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow,and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account,and takes more attention to the identification of important business,so it can help enhance user experience.
format Article
id doaj-art-dfaaa91fc6fd4973b967bcbbbc05ffe5
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-12-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-dfaaa91fc6fd4973b967bcbbbc05ffe52025-01-15T03:16:16ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-12-013124925359612621Traffic identification of network business based on multi-layer cascade algorithmFeng HUANGYao WANGLi HUANGJiming YAOShidong LIUThe contradiction between traffic demand and network bandwidth is the main problem of the current network.Traffic management is one of the effective solutions,at the same time it can improve the quality of service of the network,and network traffic identification is the basis of fine traffic management.The traffic identification method of network business based on multi-layer cascade algorithm was proposed,after the research of network traffic identification and machine learning techniques.This method can adapt to the situation of the complex network traffic flow,and can balance the contradiction between the time performance and the accuracy of the machine learning algorithm.Furthermore the cascade algorithm of this method takes the cost imbalance into account,and takes more attention to the identification of important business,so it can help enhance user experience.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015399/traffic identificationsmart pipelinemulti-layer cascade algorithmmachine learning
spellingShingle Feng HUANG
Yao WANG
Li HUANG
Jiming YAO
Shidong LIU
Traffic identification of network business based on multi-layer cascade algorithm
Dianxin kexue
traffic identification
smart pipeline
multi-layer cascade algorithm
machine learning
title Traffic identification of network business based on multi-layer cascade algorithm
title_full Traffic identification of network business based on multi-layer cascade algorithm
title_fullStr Traffic identification of network business based on multi-layer cascade algorithm
title_full_unstemmed Traffic identification of network business based on multi-layer cascade algorithm
title_short Traffic identification of network business based on multi-layer cascade algorithm
title_sort traffic identification of network business based on multi layer cascade algorithm
topic traffic identification
smart pipeline
multi-layer cascade algorithm
machine learning
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015399/
work_keys_str_mv AT fenghuang trafficidentificationofnetworkbusinessbasedonmultilayercascadealgorithm
AT yaowang trafficidentificationofnetworkbusinessbasedonmultilayercascadealgorithm
AT lihuang trafficidentificationofnetworkbusinessbasedonmultilayercascadealgorithm
AT jimingyao trafficidentificationofnetworkbusinessbasedonmultilayercascadealgorithm
AT shidongliu trafficidentificationofnetworkbusinessbasedonmultilayercascadealgorithm