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Scalable Anti-KNN: Decentralized Computation of k-Furthest-Neighbor Graphs with HyFN
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
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
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DAIS17_paper_16.pdf
Size
980.92 KB
Format
Adobe PDF
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