A local search mechanism for peer-to-peer networks
Proceedings of the eleventh international conference on Information and knowledge management
A Tutorial on CRC Computations
IEEE Micro
Document Ranking and the Vector-Space Model
IEEE Software
Constructing internet coordinate system based on delay measurement
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Intelligent Content-Based Retrieval for P2P Networks
CW '03 Proceedings of the 2003 International Conference on Cyberworlds
Information Retrieval Techniques for Peer-to-Peer Networks
Computing in Science and Engineering
A Scalable Peer-to-Peer System for Music Information Retrieval
Computer Music Journal
Super-Peer selection based framework using dynamic capacity and similarity
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
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The peer-to-peer (P2P) systems have grown significantly over the last few years due to their high potential of sharing various resources. However, identifying the location and content similarity between peers is very costly and time-consuming as it involves the cooperation of many peers. In this study, we propose an ISP2P (Intelligent Super-Peer based P2P) system, which classifies the peers into three types, ASP (Agent Super-Peer), SP (Super-Peer) and OP (Ordinary-Peer), and utilizes the location information and content types to provide efficient content distribution and retrieval service. The proposed system can improve the performance of average message response time and reduce the message traffic by using the similarity of the network distance and contents.