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Content Provider | IEEE Xplore Digital Library |
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Author | Guangyu Shi Youshui Long Jian Chen Hao Gong Hongli Zhang |
Copyright Year | 2008 |
Description | Author affiliation: Huawei Technol. Co., Ltd., Shenzhen (Guangyu Shi; Youshui Long; Jian Chen; Hao Gong) |
Abstract | A peer-to-peer (P2P) system is built upon an overlay network whose logical topology is independent of the underlying physical network. A lot of research work has been presented to address this issue, but most results still have some drawbacks, such as complexity or deployment difficulty. In order to alleviate the mismatching problem, we propose a topology matching technique with 2-means clustering algorithm called 2MC-Match, which uses the 2-means clustering algorithm to classify the Internet peers and build efficient ldquocloserdquo cluster. By performing the measured realistic Internet data (China), we show that 2MC-Match outperforms the well-known GNP in both aspects of accuracy and maintenance cost. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 469313 |
Page Count | 6 |
File Format | |
ISBN | 9781424427024 |
ISSN | 15301346 |
DOI | 10.1109/ISCC.2008.4625623 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-07-06 |
Publisher Place | Morocco |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Peer to peer computing Topology Internet Classification algorithms Network topology Economic indicators IP networks 2-means clustering P2P mismatch |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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