Abstract
Peer-oriented computing is a natural way for meeting the data sharing requirements of decentralized, highly dynamic, scalable applications. In this paper we present a framework for data sharing in a peer-to-peer database network. We first introduce a publish/subscribe model where peer groups are formed by matching peer interests (subscriptions) against publications published by relevant peers in the network. We show that queries can be processed on basis of peer collaboration without the need for a global schema.
Original language | English |
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Pages (from-to) | 244-262 |
Number of pages | 19 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 2888 |
Publication status | Published - 2003 |
Externally published | Yes |
Keywords
- Peer to peer databases
- Publish/subscribe models
- Query processing
- Query transformation