Publication detail

Adaptive Development of Hash Functions in FPGA-Based Network Routers

DOBAI, R. KOŘENEK, J. SEKANINA, L.

Original Title

Adaptive Development of Hash Functions in FPGA-Based Network Routers

Type

conference paper

Language

English

Original Abstract

Accelerated network technologies are crucial for implementing packet processing in high-speed computer networks and therefore, network routers accelerated by field-programmable gate arrays (FPGAs) are becoming common. One of the time-critical jobs in routers is packet classification which requires rapid lookup in tables. Fast hash computation is a must in order to process the packets in time. Adaptive development of hash functions is proposed in this paper. The hash functions are based on non-linear feedback shift registers and configured by an evolutionary algorithm. The hash functions are developed inside of an FPGA-based network router and fine-tuned for the given table content. The experiments on the problem of hashing Internet Protocol (IP) addresses demonstrate that the evolved simple hash functions provide faster hash computation, better memory resource utilization and require smaller chip area in comparison with conventional hash functions. The best conventional hash function was able to store by a couple of hundred less IP addresses in a 8k hash table, the computation of hashes was by 42% slower, and the implementation required 15-times more hardware area.

Keywords

Evolution, hash function, Cuckoo hash, feedback shift register, IP, FPGA, Zynq

Authors

DOBAI, R.; KOŘENEK, J.; SEKANINA, L.

Released

6. 12. 2016

Publisher

IEEE Computational Intelligence Society

Location

Athens

ISBN

978-1-5090-4240-1

Book

2016 IEEE Symposium Series on Computational Intelligence

Pages from

1

Pages to

8

Pages count

8

URL

http://ieeexplore.ieee.org/document/7850171/

BibTex

@inproceedings{BUT131001,
  author="Roland {Dobai} and Jan {Kořenek} and Lukáš {Sekanina}",
  title="Adaptive Development of Hash Functions in FPGA-Based Network Routers",
  booktitle="2016 IEEE Symposium Series on Computational Intelligence",
  year="2016",
  pages="1--8",
  publisher="IEEE Computational Intelligence Society",
  address="Athens",
  doi="10.1109/SSCI.2016.7850171",
  isbn="978-1-5090-4240-1",
  url="http://ieeexplore.ieee.org/document/7850171/"
}