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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-12-01
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Series: | Dianxin kexue |
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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 |