A search for routing strategies in a peer-to-peer network using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{iles:2002:RDS,
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author = "Michael Iles and Dwight Deugo",
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title = "A search for routing strategies in a peer-to-peer
network using genetic programming",
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booktitle = "Proceedings 21st IEEE Symposium on Reliable
Distributed Systems",
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year = "2002",
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pages = "341--346",
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month = "13-16 " # oct,
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keywords = "genetic algorithms, genetic programming, computer
networks, discrete event simulation, learning
(artificial intelligence), protocols, telecommunication
network routing, Gnutella protocol, machine learning
techniques, resource location optimization, routing
strategies, simulated peer-to-peer network, traffic
flow scenarios",
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ISSN = "1060-9857",
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DOI = "doi:10.1109/RELDIS.2002.1180207",
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abstract = "Results taken from a simulated peer-to-peer network
are described, in which genetic programming is used to
evolve routing strategies that optimise resource
location in various traffic flow scenarios. In all
cases the evolved strategies result in more numerous
resource locations than a pure, non-adaptive
peer-to-peer protocol such as the Gnutella protocol.
The resulting evolved strategies are described, and
empirical validation of the Gnutella protocol is given
via both its creation through machine-learning
techniques, and through the analysis of real-world
constants used in the protocol.",
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notes = "Inspec Accession Number: 7516795.
Carleton Univ., Ottawa, Ont., Canada",
- }
Genetic Programming entries for
Michael Iles
Dwight Deugo
Citations