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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shiping Chen Kaihua Rao Yuan Li Lei Zhao Tao Li Shigang Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL (Shigang Chen) || Network Center, Univ. of Shanghai for Sci. & Technol., Shanghai (Shiping Chen; Kaihua Rao; Yuan Li; Lei Zhao) || Sch. of Comput. & Electr. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai (Tao Li) |
| Abstract | Most existing P2P networks route requests in O(kN1/k), O(logN), O(logN/log logN ), or O(logN/log k) hops, where N is the number of participating nodes and k is an adjustable parameter. Using the simple uniformly-random neighbor selection strategy, this paper proposes a random peer-to-peer network that is the first of its kind to resolve requests in d hops and O(d) messages with a probability of 1-c, where c is a chosen constant that can be arbitrarily small. The system combines arbitrary neighbor selection, typically used only in unstructured P2P networks, with a DHT (distributed hash table) ring. It is practically attractive due to small routing delay, which does not grow with the size of the network. The number of neighbors per node is O((-ln c)frac12dN1/d), which is within a constant factor (-ln c)frac12d from the optimal complexity O(N1/d) for any network whose routing paths are bounded by d hops. |
| Starting Page | 191 |
| Ending Page | 196 |
| File Size | 1159189 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424423736 |
| DOI | 10.1109/CHINACOM.2008.4685001 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information science Network topology Peer to peer computing Scalability Routing Hypercubes Computer networks Space exploration Application software IP networks |
| Content Type | Text |
| Resource Type | Article |
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