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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai Han Qingyu Guo Jing Luo |
| Copyright Year | 2009 |
| Abstract | In a peer to peer file sharing system, there are usually multiple peers which store the copies of a requested file, and these peers may charge different costs for resource sharing. Moreover, the peers in the system are often connected in a network with heterogeneous link bandwidths. We propose two optimal algorithms for P2P file downloading, both based on the network flow theory. The first algorithm guarantees that the requested file can be downloaded in the shortest time,and the second algorithm guarantees that the file downloading can be done in the shortest time with the lowest cost. In both algorithms, the peer selection, task assignment and rate allocation problems are solved jointly, and duplicate downloading is avoided. Finally, we give a complexity analysis of the proposed algorithms. |
| Starting Page | 1088 |
| Ending Page | 1090 |
| File Size | 547882 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424435814 |
| DOI | 10.1109/ETCS.2009.248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis peer selection Costs Peer to peer computing Educational technology rate allocation Computer science Network servers peer to peer Bandwidth Computer architecture network flow theory Computer science education task assignment Resource management |
| Content Type | Text |
| Resource Type | Article |
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