Efficien t Processing Distributed Joins with Bloomfilter usi…
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- OpenAlex ID W2589740103
- Type Article
- Language EN
- Published 01 Jun 2013
- Volume 6 (3)
- Pages 43–58
- FWCI 2.19
- Added 03 Mar 2017
- Updated 26 Aug 2026
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Efficien t Processing Distributed Joins with Bloomfilter using MapReduce y
Article 2013 EN
The MapReduce framework has been widely used to process and analyze large-scale datasets over large clusters. As an essential problem, join operation among large clusters attracts more and more attention in recent years due to the utilization of MapReduce. Many strategies have been proposed to improve the efficiency of dis-tributed join, among which bloomfilter is a successful one. However, the bl…
12
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3
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2.19
FWCI
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Changchun Zhang | — | |
| 2 | Lei Wu | — | |
| 3 | Jing Li | — |
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