A Search Algorithm Based on K-Weighted Search Tree

Abstract

Aiming at the issue of low efficiency in Peer-to-Peer (P2P) network system, a search algorithm based on K-weighted search tree is proposed. The k-weighted search tree serving the search is constructed. The nodes are ranked from top to bottom in the tree according to the query hit rate, and the nodes with large hit rate and stable are on the tree layer, the search can thus determine the direction of the message diffusion. By caching the upper node, establishment of search results, using node index, overheated resource replication and add remote neighbours for leaf node, and other methods to improve search efficiency and balance load. The analysis and simulation results show that the proposed algorithm can greatly reduce the invalid message with higher search efficiency, and maintenance of the search tree is less expensive.