Evolutionary design of hash function pairs for network filters
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- @Article{DOBAI2017173,
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author = "Roland Dobai and Jan Korenek and Lukas Sekanina",
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title = "Evolutionary design of hash function pairs for network
filters",
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journal = "Applied Soft Computing",
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year = "2017",
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volume = "56",
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number = "Supplement C",
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pages = "173--181",
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month = jul,
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keywords = "genetic algorithms, genetic programming, EHW,
Evolutionary algorithm, Hash function, Network filter,
Field-programmable gate array, Cuckoo",
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ISSN = "1568-4946",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494617301321",
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DOI = "doi:10.1016/j.asoc.2017.03.009",
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abstract = "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.",
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notes = "Evolvable hardware paper, Not GP?",
- }
Genetic Programming entries for
Roland Dobai
Jan Korenek
Lukas Sekanina
Citations