Telecommunications Science ›› 2013, Vol. 29 ›› Issue (11): 94-98.doi: 10.3969/j.issn.1000-0801.2013.11.016

• Electric power information column • Previous Articles     Next Articles

Fine-Grained Network Traffic Identification Based on Tilera Platform

Shun Wu1,Dan Su1,Jia Wu1,Kun Li1,Dawei Xu1,Yun Liu1,Zheng Wei2   

  1. 1 Information & Telecommunication Company of State Grid Jibei Electric Power Co., Ltd., Beijing 100053, China
    2 Xi'an Jiaotong University, Xi'an 710049, China
  • Online:2013-11-20 Published:2017-07-04

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.

Key words: network traffic identification, Tilera platform, parallelization

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