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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhiwei Gao Zhimin Gu Wenbao Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Computer Science, Shijiazhuang Vocational Technology Institute, 050081, China (Wenbao Wang) || Department of Computer Science, Beijing Institute of Technology, 100081, China (Zhiwei Gao; Zhimin Gu) |
| Abstract | By exploiting heterogeneity, the super-node paradigm can lead to improved efficiency, without compromising the decentralized nature of peer-to-peer (P2P) networks. So many relevant applications such as grids, cloud computings use super-node paradigm as the lower service. However, due to inherent decentralisation, scale, dynamism, and complexity of P2P environments, self-managing super-node selection is a challenging problem. This paper present a super-node election protocol based on self-information theory (SPSI). In SPSI, every node has a information vector (VI), and SPSI uses a weighted mean mechanism based on VI to promote the “best” nodes to super-node status. We are the first (to the best of our knowledge) to use self-information theory to select super-node. The paper also includes extensive simulation experiments to prove the efficiency, scalability and robustness of SPSI. |
| Starting Page | 1076 |
| Ending Page | 1081 |
| File Size | 318524 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467301503 |
| ISSN | 17389445 |
| e-ISBN | 9788955191639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-19 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | GIRI |
| Subject Keyword | Peer to peer computing Protocols Topology Binary trees Network topology Convergence Nominations and elections SPSI super-node self-information scalability |
| Content Type | Text |
| Resource Type | Article |
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