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  5. Scalable Anti-KNN: Decentralized Computation of k-Furthest-Neighbor Graphs with HyFN
 
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Scalable Anti-KNN: Decentralized Computation of k-Furthest-Neighbor Graphs with HyFN

Author(s)
Bouget, Simon  
Bromberg, Yérom-David  
Taïani, François  
Ventresque, Anthony  
Uri
http://hdl.handle.net/10197/9040
Date Issued
2017-06-22
Date Available
2017-11-13T16:21:58Z
Abstract
The decentralized construction of k-Furthest-Neighbor graphs has been little studied, although such structures can play a very useful role, for instance in a number of distributed resource allocation problems. In this paper we define KFN graphs; we propose HyFN, a generic peer-to-peer KFN construction algorithm, and thoroughly evaluate its behavior on a number of logical networks of varying sizes.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Lero
Type of Material
Conference Publication
Publisher
Springer
Subjects

Decentralized

Self-organization

P2P

Algorithm

Similarity

Epidemic protocol

Gossip protocol

Scalability

HyFN

KNN graphs

KFN graphs

DOI
10.1007/978-3-319-59665-5_7
Language
English
Status of Item
Peer reviewed
Journal
Lecture Notes in Computer Science, volume 10320
Conference Details
Distributed Applications and Interoperable Systems (DAIS), Neuchâtel, Switzerland, 2017
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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DAIS17_paper_16.pdf

Size

980.92 KB

Format

Adobe PDF

Checksum (MD5)

0708bbe28a8e3a2d784de4ed93264b7c

Owning collection
Computer Science Research Collection
Mapped collections
PEL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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