Detail publikace

Memory Optimization for Packet Classification Algorithms

Originální název

Memory Optimization for Packet Classification Algorithms

Anglický název

Memory Optimization for Packet Classification Algorithms

Jazyk

en

Originální abstrakt

We propose novel method how to reduce data structure size for the family of packet classification algorithms at the cost of additional pipelined processing with only small amount of logic resources. The reduction significantly decreases overhead given by the crossproduct nature of classification rules. Therefore the data structure can be compressed to 10 % on average. As high compression ratio is achieved, fast on-chip memory can be used to store data structures and hardware architectures can process network traffic at significantly higher speed.

Anglický abstrakt

We propose novel method how to reduce data structure size for the family of packet classification algorithms at the cost of additional pipelined processing with only small amount of logic resources. The reduction significantly decreases overhead given by the crossproduct nature of classification rules. Therefore the data structure can be compressed to 10 % on average. As high compression ratio is achieved, fast on-chip memory can be used to store data structures and hardware architectures can process network traffic at significantly higher speed.

BibTex


@inproceedings{BUT30760,
  author="Jan {Kořenek} and Viktor {Puš}",
  title="Memory Optimization for Packet Classification Algorithms",
  annote="We propose novel method how to reduce data structure size for the family of
packet classification algorithms at the cost of additional pipelined processing
with only small amount of logic resources. The reduction significantly decreases
overhead given by the crossproduct nature of classification rules. Therefore the
data structure can be compressed to 10 % on average. As high compression ratio is
achieved, fast on-chip memory can be used to store data structures and hardware
architectures can process network traffic at significantly higher speed.",
  address="Association for Computing Machinery",
  booktitle="Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems",
  chapter="30760",
  edition="Association for Computing Machinery",
  howpublished="print",
  institution="Association for Computing Machinery",
  year="2009",
  month="september",
  pages="165--166",
  publisher="Association for Computing Machinery",
  type="conference paper"
}