A Scalable P2P Database System with Semi-Automated Schema Matching

Authors:
Colin Rouse;Sonia Berman
Affiliations:
University of Cape Town, South Africa;University of Cape Town, South Africa
Venue:
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Year:
2006

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Evaluating a Peer-to-Peer Database Server Based on BitTorrent

BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier

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Abstract

This paper describes a system called Mapster that allows users in a P2P network to share their databases. The research addresses problems of heterogeneity and scalability of sharing databases in P2P networks. Fine-grained access to users' databases is provided through schema matching and a super-peer topology. The schema matching component allows information to be translated across heterogeneous databases by semi-automatically determining the mappings between the databases within the P2P network. The super-peer topology provides a suitable environment for the schema matching and query processing.