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DOBAI Roland, KOŘENEK Jan a SEKANINA Lukáš. Evolutionary design of hash function pairs for network filters. Applied Soft Computing. Amsterdam: Elsevier Science, 2017, roč. 56, č. 7, s. 173-181. ISSN 1568-4946. Dostupné z: http://dx.doi.org/10.1016/j.asoc.2017.03.009
Jazyk publikace:angličtina
Název publikace:Evolutionary design of hash function pairs for network filters
Místo vydání:NL
Časopis:Applied Soft Computing, roč. 56, č. 7, Amsterdam, NL
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Klíčová slova
evolution, hash function, network filter, field-programmable gate
array, cuckoo
Network filtering is a challenging area in high-speed computer networks, mostly because lots of filtering rules are required and there is only a limited time available for matching these rules. Therefore, network filters accelerated by field-programmable gate arrays (FPGAs) are becoming common where the fast lookup of filtering rules is achieved by the use of hash tables. It is desirable to be able to fill-up these tables efficiently, i.e. to achieve a high table-load factor in order to reduce the offline time of the network filter due to rehashing and/or table replacement. A parallel reconfigurable hash function tuned by an evolutionary algorithm (EA) is proposed in this paper for Internet Protocol (IP) address filtering in FPGAs. The EA fine-tunes the reconfigurable hash function for a given set of IP addresses. The experiments demonstrate that the proposed hash function provides high-speed lookup and achieves a higher table-load factor in comparison with conventional solutions.
   author = {Roland Dobai and Jan Ko{\v{r}}enek and Luk{\'{a}}{\v{s}}
   title = {Evolutionary design of hash function pairs for network
   pages = {173--181},
   journal = {Applied Soft Computing},
   volume = {56},
   number = {7},
   year = {2017},
   ISSN = {1568-4946},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11244}

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