关键词: 对等网络, 相似度, 最优化理论

Abstract: P2P file sharing applications are becoming more and more popular in Internet. They have deployed their own content delivery networks to facilitate the publishing and searching of files. A similarity-computing model is proposed for the peers in content delivery networks. The model fully mines the meta-information of files owned by peers, that is, the model calculates the similarity making use of file name, file size, file type according to different weights. The original problem of determining the model parameters is formulated as a constrained optimization problem, and the eMule application is taken as an instance to show how the model parameters can be determined. Since the similarity-computing model introduces the semantic information of peers, it can be applied to improve the physical topologies of content delivery networks, thus to improve the query and routing performance.

Key words: peer-to-peer network, similarity, optimization theory