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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mahmood, A.H. Jabbar, A. Cetinkaya, E.K. Sterbenz, J.P.G. |
| Copyright Year | 2010 |
| Description | Author affiliation: Inf. & Telecommun. Technol. Center, Univ. of Kansas, Lawrence, KS, USA (Mahmood, A.H.; Jabbar, A.; Cetinkaya, E.K.; Sterbenz, J.P.G.) |
| Abstract | Realistic network topologies are crucial for network research and are commonly used for the analysis, simulation, and evaluation of various mechanisms and protocols. In this paper, we discuss network topology models to generate physical topologies for backbone networks. In order to gain better understanding of current topologies and engineer networks for the future, it is necessary to generate realistic physical topologies that are governed by the infrastructure as opposed to only logical topologies that are governed by policy or higher-layer abstractions. The objective of this work is to present the principles that are key to node distributions of realistic topologies and the challenges involved. We argue that the dominant factors that influence the location of the PoPs are population density distribution and the technology penetration of a given region. Hence we implement a clustering algorithm to accurately predict the location of PoPs and later explore cost constrained models to generate realistic physical topologies. |
| Starting Page | 400 |
| Ending Page | 404 |
| File Size | 1284904 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424488636 |
| e-ISBN | 9781424488650 |
| DOI | 10.1109/GLOCOMW.2010.5701678 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Network topology Network topology model cost-constraint Clustering algorithms geography Africa technology penetration Topology Internet resilience Resilience population |
| Content Type | Text |
| Resource Type | Article |
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