Design and Implementation of a Novel Peer-To-Peer Information Retrieval Framework

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 constructthe active peer list. Each peer maintains a B+ tree containing IP hash values. The files are distributed overthe peer to peer network based on the keywords. The files are initially uploaded into the target node basedon the closest match between the hash values of the IP address of the node and the keywords used to indexthe file. While searching, the target node is identified by finding the closest match between the hash value ofthe 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. Theproposed framework uses Hadoop cluster to extract keywords from the files to be uploaded in the desiredtarget node. Hadoop’s MapReduce programming paradigm reduces the time for keyword extraction. As theframework maintains a B+ tree in the peers, it further reduces the search time and improves networkbandwidth