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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2013-11-01
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Series: | Dianxin kexue |
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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 |