Adaptive resource location in a peer-to-peer network

Authors:
Michael Iles;Dwight Deugo
Affiliations:
Carleton University, Ottawa, Ontario, Canada;Carleton University, Ottawa, Ontario, Canada
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

Citing 4
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Abstract

Flooding broadcast networks have proven themselves capable of meeting most major criteria for successful peer-to-peer networks, but they have one major shortcoming: an inefficient resource discovery mechanism that has difficulty scaling. We develop a 'meta-protocol' for flooding broadcast networks that is expressive enough to describe a range of existing and deployed flooding broadcast network protocols. We then describe how to apply genetic programming to obtain specific network protocols from this meta-protocol that are optimized for various specific network scenarios.