Artificial Life
Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
A Complex Systems Approach to Service Discovery
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Gossiping for resource discovering: An analysis based on complex network theory
Future Generation Computer Systems
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While others have attempted to determine, by way of mathematical formulae, optimal resource duplication strategies for random walk protocols, this paper is concerned with studying the emergent effects of dynamic resource propagation and replication. In particular, we show, via modelling and experimentation, that under any given decay (purge) rate the number of nodes that have knowledge of particular resource converges to a fixed point or a limit cycle. We also show that even for high rates of decay – that is, when few nodes have knowledge of a particular resource – the number of hops required to find that resource is small.