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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haiying Shen |
| Copyright Year | 2009 |
| Abstract | Efficient file query is important to the overall performance of Peer-to-Peer (P2P) file sharing systems. Clustering peers by their common interests can significantly enhance the efficiency of file query. On the other hand, clustering peers by their physical proximity can also improve file query performance. Few current works are able to cluster peers based on both peer interest and physical proximity. It is even harder to realize it in structured P2Ps due to their strictly defined topologies, although they provide higher file query efficiency than unstructured P2Ps. In this paper, we introduce a proximity-aware and interest-clustered P2P file sharing system (PAIS) based on a structured P2P. It groups peers based on both interest and proximity. PAIS supports sophisticated routing and clustering strategies based on a hierarchical topology. Theoretical analysis and simulation results demonstrate that PAIS dramatically reduces the overhead and enhances efficiency in file sharing. |
| Starting Page | 164 |
| Ending Page | 171 |
| File Size | 223856 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424439355 |
| DOI | 10.1109/CCGRID.2009.17 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Peer to peer computing Network topology Grid computing Floods Scalability Spine Computer science Routing Analytical models Bandwidth Distributed hash table Peer to peer Proximity |
| Content Type | Text |
| Resource Type | Article |
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