Randomized algorithms for optimizing large join queries
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Rules of encounter: designing conventions for automated negotiation among computers
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The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Multiobjective query optimization
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
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Artificial Intelligence
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The VLDB Journal — The International Journal on Very Large Data Bases
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An Internet-based negotiation server for e-commerce
The VLDB Journal — The International Journal on Very Large Data Bases
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ICDE '02 Proceedings of the 18th International Conference on Data Engineering
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
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In this paper we present a distributed query framework suitable for use in federations of digital libraries (DL). Inspired by e-commerce technology, we recognize CPU-processing and queries (and query answers) as commodities and model the task of query optimization and execution as a task of trading CPU-processing, queries and query-answers. We show that our framework satisfies the needs of modern DL federations by respecting the autonomy of DL nodes and natively supporting their business model. Our query processing conception is independent of the possible distributed architecture and can be easily implemented over a typical GRID architectural infrastructure or a Peer-To-Peer network.