Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Solving Local Cost Estimation Problem for Global Query Optimization in Multidatabase Systems
Distributed and Parallel Databases
Fuzzy cost modeling for peer-to-peer systems
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Fuzzy service selection in a distributed object-oriented environment
IEEE Transactions on Fuzzy Systems
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A good query plan in p2p networks is crucial to increase the query performance. Optimization of the plan requires effective and suitable remote cost estimation of the candidate peers on the basis of the information concerning the candidates' run-time cost model and online time. We propose a fuzzy reward model to evaluate a candidate peer's online reliability relative to the query host, and utilize a real-time cost model to estimate the query execution time. The optimizer is based on the run-time information to generate an effective query plan.