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In order to achieve the access of massive high-dimensional data on P2P network efficiently, we present a distributed similarity retrieval system named R-Chord using modified iDistance based on relative position code (RPCID). RPCID calculates the lower bound distance between the query point and the data point using relative position code (RPC). RPC is a data object encoding method based on spatial...
Efficient discovery of information based on partially specified and misspelled query keywords is a challenging problem in large scale peer-to-peer (P2P) networks. This paper presents QPM, a P2P search mechanism for efficient information retrieval with misspelled and partial keywords. QPM uses the double metaphone algorithm to phonetically match misspelled query keywords with advertised keywords. For...
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global system property and direct the actions of self-adaptive distributed algorithms. Examples include using estimates of the network size to dimension distributed hash tables or estimates of the average system load to direct load-balancing...
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