article · Electronic Theses and Dissertations Repository (University of Pisa) · 2011
Fast Packet Processing on High Performance Architectures
ANTICHI, GIANNI
Cited by 0Open access
Abstract
The rapid growth of Internet and the fast emergence of new network applications have brought great challenges and complex issues in deploying high-speed and QoS guaranteed IP network. For this reason packet classification and network intrusion detection have assumed a key role in modern communication networks in order to provide Qos and security. In this thesis we describe a number of the most advanced solutions to these tasks. We introduce NetFPGA and Network Processors as reference platforms both for the design and the implementation of the solutions and algorithms described in this thesis. The rise in links capacity reduces the time available to network devices for packet processing. For this reason, we show different solutions which, either by heuristic and randomization or by smart construction of state machine, allow IP lookup, packet classification and deep packet inspection to be fast in real devices based on high speed platforms such as NetFPGA or Network Processors.
Cite this paper
ANTICHI, G. (2011). Fast Packet Processing on High Performance Architectures. Electronic Theses and Dissertations Repository (University of Pisa).
ANTICHI, GIANNI. “Fast Packet Processing on High Performance Architectures.” Electronic Theses and Dissertations Repository (University of Pisa), 2011.
ANTICHI, GIANNI. 2011. “Fast Packet Processing on High Performance Architectures.” Electronic Theses and Dissertations Repository (University of Pisa).
ANTICHI, G. (2011) ‘Fast Packet Processing on High Performance Architectures’, Electronic Theses and Dissertations Repository (University of Pisa).
@article{antichi2011fast,
title = {{Fast Packet Processing on High Performance Architectures}},
author = {ANTICHI, GIANNI},
journal = {Electronic Theses and Dissertations Repository (University of Pisa)},
year = {2011}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.