Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130723" target="_blank" >RIV/00216305:26230/18:PU130723 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11706" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11706</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AHS.2018.8541401" target="_blank" >10.1109/AHS.2018.8541401</a>

Result language
angličtina
Original language name
Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/LTC18053" target="_blank" >LTC18053: Advanced Methods of Nature-Inspired Optimisation and HPC Implementation for the Real-Life Applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems
ISBN
978-1-5386-7753-7
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
257-263
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Edinburgh
Event location
Edinbugh
Event date
Aug 6, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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