Fine-Grained Network Traffic Identification Based on Tilera Platform

It is essential for network managers to decide how to use a reasonable allocation of bandwidth, providing differentiated services, as well as conducting security monitor and management so as to do fine-grained and precise IT operation. The fine-grained traffic identification method proposed was able...

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Main Authors: Shun Wu, Dan Su, Jia Wu, Kun Li, Dawei Xu, Yun Liu, Zheng Wei
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2013-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.11.016/
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author Shun Wu
Dan Su
Jia Wu
Kun Li
Dawei Xu
Yun Liu
Zheng Wei
author_facet Shun Wu
Dan Su
Jia Wu
Kun Li
Dawei Xu
Yun Liu
Zheng Wei
author_sort Shun Wu
collection DOAJ
description It is essential for network managers to decide how to use a reasonable allocation of bandwidth, providing differentiated services, as well as conducting security monitor and management so as to do fine-grained and precise IT operation. The fine-grained traffic identification method proposed was able to identify the user's behavior accurately according to the traffic that the application generates. In addition, compared with the traditional x86 platform, in order to achieve higher throughput and lower power consumption, the method was redesigned and implemented in the Tilera platform with parallelization. Finally, a variety of system performance test results were compared under the two platforms.
format Article
id doaj-art-4bfa96d099dd431d83b16afded328c9d
institution Kabale University
issn 1000-0801
language zho
publishDate 2013-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-4bfa96d099dd431d83b16afded328c9d2025-01-15T03:21:17ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-11-0129949859625446Fine-Grained Network Traffic Identification Based on Tilera PlatformShun WuDan SuJia WuKun LiDawei XuYun LiuZheng WeiIt is essential for network managers to decide how to use a reasonable allocation of bandwidth, providing differentiated services, as well as conducting security monitor and management so as to do fine-grained and precise IT operation. The fine-grained traffic identification method proposed was able to identify the user's behavior accurately according to the traffic that the application generates. In addition, compared with the traditional x86 platform, in order to achieve higher throughput and lower power consumption, the method was redesigned and implemented in the Tilera platform with parallelization. Finally, a variety of system performance test results were compared under the two platforms.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.11.016/network traffic identificationTilera platformparallelization
spellingShingle Shun Wu
Dan Su
Jia Wu
Kun Li
Dawei Xu
Yun Liu
Zheng Wei
Fine-Grained Network Traffic Identification Based on Tilera Platform
Dianxin kexue
network traffic identification
Tilera platform
parallelization
title Fine-Grained Network Traffic Identification Based on Tilera Platform
title_full Fine-Grained Network Traffic Identification Based on Tilera Platform
title_fullStr Fine-Grained Network Traffic Identification Based on Tilera Platform
title_full_unstemmed Fine-Grained Network Traffic Identification Based on Tilera Platform
title_short Fine-Grained Network Traffic Identification Based on Tilera Platform
title_sort fine grained network traffic identification based on tilera platform
topic network traffic identification
Tilera platform
parallelization
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.11.016/
work_keys_str_mv AT shunwu finegrainednetworktrafficidentificationbasedontileraplatform
AT dansu finegrainednetworktrafficidentificationbasedontileraplatform
AT jiawu finegrainednetworktrafficidentificationbasedontileraplatform
AT kunli finegrainednetworktrafficidentificationbasedontileraplatform
AT daweixu finegrainednetworktrafficidentificationbasedontileraplatform
AT yunliu finegrainednetworktrafficidentificationbasedontileraplatform
AT zhengwei finegrainednetworktrafficidentificationbasedontileraplatform