Anzeige
Erschienen in:
2006 | OriginalPaper | Buchkapitel
Proposal for Self-organizing Information Distribution in Peer-to-Peer Networks
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The usage of peer-to-peer networks often follows a query-response paradigm, where users initiate searches which then have to be routed over the network efficiently. This paper proposes an approach for self-organizing information distribution in peer-to-peer networks that inverts this paradigm: data objects actively travel through the net to those nodes for which they are relevant. The underlying mechanism is rooted in the principles of Swarm Intelligence and relies on the dissemination of artificial pheromones, where each pheromone represents one particular relevance criterion that applies to a given data object. Data objects leave trails of these pheromones at each node they visit and move along gradients of pheromone concentration to regions in which they are relevant.