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1 Organizing QDNs for Searchability Without organization, a QDN that is generated by random interconnection of nodes is not efficiently searchable. With such a QDN, since the required data can be located anywhere in the network, nodes lack a sense of direction to forward the query toward the node(s) that potentially hold the required data. All neighbors of a node may equally lead the path to the target data. , flooding). In both cases, search is brute-force. As we mentioned in Section 2, unlike classical networks, with QDNs the topology is flexible and rewiring the links is fairly inexpensive.
Information provider and information consumer. Clients submit queries to their super-peer node and receive results from it, as in a hybrid system. However, super-peers are also connected to each other as peers in a pure system are (see also figure 2), routing messages over this overlay network, and submitting and answering queries on behalf of their clients and themselves. Examples of super-peer networks are JXTA, Edutella or Morpheus. Because a super-peer network combines elements of both pure and hybrid Fig.
With the searchable QDN model, each node is aware of the 5 6 Notation: is the value of the attribute at tuple is the set of these values for a set of tuples. , tendency of associating identities that are similar at dimension to each other. TEAM LinG - Live, Informative, Non-cost and Genuine! Searchable Querical Data Networks 27 identity of its neighbors. Assume that the selection condition of the query is represented by the tuple where if the attribute is not conditioned. To forward a query, the node uses the distance measure U to estimate the semantic distance of its neighbor from the target data content (hence, target node)7: Since with homophilic linking, the network distance is correlated with the semantic distance, among all neighbors, the node selectively chooses to forward the query to the neighbor with minimum semantic distance to the target data content.