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Functional bloom filter, better than hash tables
- Title
- Functional bloom filter, better than hash tables
- Authors
- Byun H.; Lim H.
- Ewha Authors
- 임혜숙
- SCOPUS Author ID
- 임혜숙
- Issue Date
- 2018
- Journal Title
- International Conference on Electronics, Information and Communication, ICEIC 2018
- Citation
- International Conference on Electronics, Information and Communication, ICEIC 2018 vol. 2018-January, pp. 1 - 3
- Keywords
- Bloom filter; functional Bloom filter; hash table; key-value structure
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Indexed
- SCOPUS
- Document Type
- Conference Paper
- Abstract
- Hash tables have been widely used in many applications, which need to return values corresponding to each input key. However, hash-based data structures have an intrinsic problem of collision, where different keys have the same index of a hash table. As the load factor of the hash table increases, the number of collisions increases. Elements that could not be stored because of the collision cause failures in returning values. Variant structures such as multi-hashing, cuckoo hashing, and d-left hashing have been studied, but none of the structures solve completely the collision problem. In this paper, we claim that a functional Bloom filter can replace a hash table. While the hash table requires to store each input key itself or the signature of each input key in addition to the return value, the functional Bloom filter can store the return value only, since different combinations of Bloom filter indexes can work as the signature of each input key. Performance evaluation results show that the functional Bloom filter is more efficient than hash-based data structures in storing more number of elements into a fixed size memory and hence in producing less failures. © 2018 Institute of Electronics and Information Engineers.
- DOI
- 10.23919/ELINFOCOM.2018.8330628
- ISBN
- 9781538647547
- Appears in Collections:
- 공과대학 > 전자전기공학전공 > Journal papers
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