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Dual-load Bloom filter: Application for name lookup

Title
Dual-load Bloom filter: Application for name lookup
Authors
Lee, JungwonByun, HayoungLim, Hyesook
Ewha Authors
임혜숙
SCOPUS Author ID
임혜숙scopus
Issue Date
2020
Journal Title
COMPUTER COMMUNICATIONS
ISSN
0140-3664JCR Link

1873-703XJCR Link
Citation
COMPUTER COMMUNICATIONS vol. 151, pp. 1 - 9
Keywords
Bloom filterDual-load Bloom filterName prefix trieNamed data networkingName lookupPath-compressed trie
Publisher
ELSEVIER
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
As a simple probabilistic data structure, a Bloom filter consumes a small amount of memory in efficiently dealing with a large set of data elements. Bloom filters stored in on-chip memories have been popularly used as pre-filters to minimize unnecessary off-chip memory accesses. This paper proposes an interesting variant of a Bloom filter, the dual-load Bloom filter (DLBF) and shows that the proposed DLBF can be effective for implementing a name lookup algorithm. While Bloom filters usually hold a single type of information, which is either the membership in a given set or the return values of elements, the proposed DLBF holds both the membership and the return values in a single Bloom filter. As one of the trie-based name lookup algorithms developed for named data networking, a path-compressed tie compresses each path in a name prefix trie by removing empty nodes with a single child. This type of trie should be designed to hold skip values to represent the numbers of removed nodes in addition to the name prefixes stored in each node. This paper shows that the proposed DLBF can hold the skip values and the name prefixes to implement a path-compressed trie in an on-chip memory. Simulation results show that the proposed name lookup structure improves search performance by 33% using a much smaller amount of memory than previous Bloom filter-based structures.
DOI
10.1016/j.comcom.2019.12.029
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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