Publication Details
Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs
hash function, FPGA, genetic programming, network flow
Efficient monitoring of high speed computer networks operating with a 100 Gigabit per second (Gbps) data throughput requires a suitable hardware acceleration of its key components. We present a platform capable of automated design of hash functions suitable for network flow hashing. The platform employs a multi-objective linear genetic programming developed for the hash function design. We evolved high-quality hash functions and implemented them in a field programmable gate array (FPGA). Several evolved hash functions were combined together in order to form a new reconfigurable hash function. The proposed reconfigurable design significantly reduces the area on a chip while the maximum operation frequency remains very close to the fastest hash functions. Properties of evolved hash functions were compared with the state-of-the-art hash functions in terms of the quality of hashing, area and operation frequency in the FPGA.
@INPROCEEDINGS{FITPUB11706,
author = "David Grochol and Luk\'{a}\v{s} Sekanina",
title = "Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs",
pages = "257--263",
booktitle = "Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems",
year = 2018,
location = "Edinburgh, GB",
publisher = "Institute of Electrical and Electronics Engineers",
ISBN = "978-1-5386-7753-7",
doi = "10.1109/AHS.2018.8541401",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11706"
}