Journal article

DOBAI Roland, KOŘENEK Jan and SEKANINA Lukáš. Evolutionary design of hash function pairs for network filters. Applied Soft Computing. Amsterdam: Elsevier Science, 2017, vol. 56, no. 7, pp. 173-181. ISSN 1568-4946. Available from:
Publication language:english
Original title:Evolutionary design of hash function pairs for network filters
Title (cs):Evoluční návrh párů hašovacích funkcí pro síťové filtry
Journal:Applied Soft Computing, Vol. 56, No. 7, Amsterdam, NL
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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}} Sekanina},
   title = {Evolutionary design of hash function pairs for
	network filters},
   pages = {173--181},
   journal = {Applied Soft Computing},
   volume = 56,
 number = 7,
   year = 2017,
   ISSN = {1568-4946},
   doi = {10.1016/j.asoc.2017.03.009},
   language = {english},
   url = {}

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