Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey. (5th February 2019)
- Record Type:
- Journal Article
- Title:
- Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey. (5th February 2019)
- Main Title:
- Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey
- Authors:
- Patgiri, Ripon
Nayak, Sabuzima
Borgohain, Samir Kumar - Other Names:
- Xu Zhiyong Academic Editor.
- Abstract:
- Abstract : Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns "true" or "false" with an error tolerance depending on the presence of the element in the set. Bloom filter is used to boost up the performance of a system using small space overhead. It is extensively used since its inception. The Bloom filter has met wide area of applications. Bloom filter is used in entire computing field irrespective of application and research domain. Bloom filter poses (i) high adaptability, (ii) low memory space overhead as compared to hashing algorithms, (iii) high scalability, and (iv) high performance. In this article, we uncover the application area of Bloom filter in computer networking and its related domain.
- Is Part Of:
- Journal of computer networks and communications. Volume 2019(2019)
- Journal:
- Journal of computer networks and communications
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-02-05
- Subjects:
- Computer networks -- Periodicals
Computer science -- Periodicals
004.605 - Journal URLs:
- https://www.hindawi.com/journals/jcnc/ ↗
- DOI:
- 10.1155/2019/2712417 ↗
- Languages:
- English
- ISSNs:
- 2090-7141
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10268.xml