Fine-Grained Network Traffic Identification Based on Tilera Platform

Shun Wu; Dan Su; Jia Wu; Kun Li; Dawei Xu; Yun Liu; Zheng Wei

doi:10.3969／j.issn.1000-0801.2013.11.016

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Fine-Grained Network Traffic Identification Based on Tilera Platform

Electric power information column | 更新时间：2024-06-05

- Fine-Grained Network Traffic Identification Based on Tilera Platform
- Telecommunications Science Vol. 29, Issue 11, Pages: 94-98(2013)
- 作者机构：
  
  1. 国网冀北电力有限公司信通分公司北京100053
  2. 西安交通大学西安710049
- 作者简介：
- 基金信息：
- DOI：10.3969／j.issn.1000-0801.2013.11.016
  CLC：
- Published Online：2013-11，
  
  Published：20 November 2013
- 稿件说明：
移动端阅览
Shun Wu, Dan Su, Jia Wu, et al. Fine-Grained Network Traffic Identification Based on Tilera Platform[J]. Telecommunications science, 2013, 29(11): 94-98.
DOI：

Shun Wu, Dan Su, Jia Wu, et al. Fine-Grained Network Traffic Identification Based on Tilera Platform[J]. Telecommunications science, 2013, 29(11): 94-98. DOI： 10.3969／j.issn.1000-0801.2013.11.016.

摘要

网络管理员需要根据用户对应用的使用情况决定如何合理地分配带宽，提供区别化服务，进行安全监测和管理，以进行更加细致和准确的IT运维。研究了网络细粒度应用行为识别系统，能根据应用产生的流量精准识别用户在应用上的行为。与x86架构相比，为了实现更高的吞吐率和更低的功耗，应着重在Tilera平台上对应用识别进行并行设计和实现。最后对两种平台下系统的各种性能测试结果进行了对比，并得出结论。

Abstract

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.

关键词

Keywords

references

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