Abstract
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.
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Zhang, H., Liu, X., Liu, P. (2005). Fuzzy Reward Modeling for Run-Time Peer Selection in Peer-to-Peer Networks. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_66
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DOI: https://doi.org/10.1007/11539506_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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