Title :
Fast and scalable packet classification
Author :
Van Lunteren, Jan ; Engbersen, Ton
Author_Institution :
IBM Res., Zurich Res. Lab., Ruschlikon, Switzerland
fDate :
5/1/2003 12:00:00 AM
Abstract :
Emerging Internet applications create the need for advanced packet classifiers. We propose a novel multifield classification scheme, called P2C, which exploits the strengths of state-of-the-art memory technologies to provide wire-speed classification performance for OC-192 and beyond, in combination with very high storage efficiency and the support of fast incremental updates. Key features of the new scheme are its ability to adapt to the complexity of a classification rule set, whereas the storage requirements and update dynamics can be tuned at the granularity of individual rules. This makes P2C suitable for a broad spectrum of applications.
Keywords :
Internet; digital storage; packet switching; signal classification; telecommunication network routing; transport protocols; FPGA; IP; Internet applications; Internet protocol; OC-192; P2C; associative memories; classification rule set complexity; fast incremental updates; fast packet classification; memory technologies; multifield classification; network routing; packet classifiers; scalable packet classification; storage efficiency; storage requirements; update dynamics; wire-speed classification performance; Classification algorithms; IP networks; Information filtering; Information filters; Routing; Search methods; Table lookup; Telecommunication traffic; Tree data structures; Web and internet services;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2003.810527