Evolutionary Design of Fast High-quality Hash Functions for Network Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121592" target="_blank" >RIV/00216305:26230/16:PU121592 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11078" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11078</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2908812.2908825" target="_blank" >10.1145/2908812.2908825</a>
Alternative languages
Result language
angličtina
Original language name
Evolutionary Design of Fast High-quality Hash Functions for Network Applications
Original language description
High speed networks operating at 100 Gbps pose many challenges for hardware and software involved in the packet processing. As the time to process one packet is very short the corresponding operations have to be optimized in terms of the execution time. One of them is non-cryptographic hashing implemented in order to accelerate traffic flow identification. In this paper, a method based on linear genetic programming is presented, which is capable of evolving high-quality hash functions primarily optimized for speed. Evolved hash functions are compared with conventional hash functions in terms of accuracy and execution time using real network data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA14-04197S" target="_blank" >GA14-04197S: Advanced Methods for Evolutionary Design of Complex Digital Circuits</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO '16 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference
ISBN
978-1-4503-4206-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
901-908
Publisher name
Association for Computing Machinery
Place of publication
New York, NY
Event location
Denver
Event date
Jul 20, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000382659200114