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Author Sadasivam, G. Sudha ♦ Karthikeyan, V.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Target Node ♦ Novel Peer-to-peer Information Retrieval Framework ♦ Hash Value ♦ Active Peer List ♦ Information Retrieval Framework ♦ Ip Address Hash ♦ Ip Hash Value ♦ Ip Address ♦ Hadoop Cluster ♦ Tree Indexed
Abstract Abstract. Peer-to-Peer (P2P) Information Retrieval framework consists of a peer to peer network of nodes, which voluntarily agree to share their resources by joining the network. While joining these nodes construct the active peer list. Each peer maintains a B+ tree containing IP hash values. The files are distributed over the peer to peer network based on the keywords. The files are initially uploaded into the target node based on the closest match between the hash values of the IP address of the node and the keywords used to index the file. While searching, the target node is identified by finding the closest match between the hash value of the keyword and the IP address hash from the B+ tree stored in the peers. After identifying the target node, the references to desired document is retrieved by searching a B+ tree indexed using keywords. The proposed framework uses Hadoop cluster to extract keywords from the files to be uploaded in the desired
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2009-01-01