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Knowledge and Cache based Adaptive Query Searching in Unstructured P2P Networks
2012
International Journal of Computer Applications
Efficient search is a challenging task in unstructured peer-topeer networks. In this paper, Knowledge and Cache based Adaptive Query Searching (KCAQS) is proposed that adaptively performs a query searching through either directed flooding or biased random walk based on the number of hop counts in query message. In addition, knowledge intended forwarding is deployed for forwarding a query to the high quality peers through probabilistic knowledge predicted from the previously requested queries.
doi:10.5120/7390-0247
fatcat:exupipcd55eknf4ri4kvd2kzdq