Kyong-Hye Park

dblp:142/0356 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Routing and switching · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching
IP lookup
0.212014
On Adding Bloom Filters to Longest Prefix Matching Algorithms · IEEE Trans. Computers 2014
Routing and switching › IP lookup
longest prefix matching
0.212014
On Adding Bloom Filters to Longest Prefix Matching Algorithms · IEEE Trans. Computers 2014
Routing and switching
router architecture
0.212014
On Adding Bloom Filters to Longest Prefix Matching Algorithms · IEEE Trans. Computers 2014

Methods — techniques the papers use, named apart from their topics

parallel multiple hashing · 0.2bloom filter · 0.2binary search on levels · 0.2
YearPublicationVenuePosition
2014 On Adding Bloom Filters to Longest Prefix Matching Algorithms
abstract
High-speed IP address lookup is essential to achieve wire-speed packet forwarding in Internet routers. Ternary content addressable memory (TCAM) technology has been adopted to solve the IP address lookup problem because of its ability to perform fast parallel matching. However, the applicability of TCAMs presents difficulties due to cost and power dissipation issues. Various algorithms and hardware architectures have been proposed to perform the IP address lookup using ordinary memories such as SRAMs or DRAMs without using TCAMs. Among the algorithms, we focus on two efficient algorithms providing high-speed IP address lookup: parallel multiple-hashing (PMH) algorithm and binary search on level algorithm. This paper shows how effectively an on-chip Bloom filter can improve those algorithms. A performance evaluation using actual backbone routing data with 15,000-220,000 prefixes shows that by adding a Bloom filter, the complicated hardware for parallel access is removed without search performance penalty in parallel-multiple hashing algorithm. Search speed has been improved by 30-40 percent by adding a Bloom filter in binary search on level algorithm.
Hyesook Lim, Kyuhee Lim, Nara Lee, Kyong-Hye Park
IEEE Trans. Computers4