Deep Packet Inspection on Commodity Hardware using FastFlow

被引：2
|
作者：
Danelutto, M. [1 ]
Deri, L. [1 ]
De Sensi, D. [1 ]
Torquati, M. [1 ]
机构：
[1] Univ Pisa, Comp Sci Dept, Pisa, Italy
来源：
PARALLEL COMPUTING: ACCELERATING COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) | 2014年 / 25卷
关键词：
Network streaming; NetFlow; DPI; FastFlow; multi-core;
D O I：
10.3233/978-1-61499-381-0-92
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The analysis of packet payload is mandatory for network security and traffic monitoring applications. The computational cost of this activity pushed the industry towards hardware-assisted deep packet inspection (DPI) that have the disadvantage of being more expensive and less flexible. This paper covers the design and implementation of a new DPI framework using FastFlow, a skeleton-based parallel programming library targeting efficient streaming on multi-core architectures. The experimental results demonstrate the efficiency of the DPI framework proposed, proving the feasibility to perform 10Gbit DPI analysis using modern commodity hardware.
引用
收藏
页码：92 / 99
页数：8
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