Deriving Network Topologies from Real World Constraints
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.
M. A. Hameed et al., "Deriving Network Topologies from Real World Constraints," Proceedings of the 2010 IEEE GLOBECOM Workshop on Complex and Communication Networks (CCNet), pp. 400-404, Institute of Electrical and Electronics Engineers (IEEE), Jan 2010.
The definitive version is available at https://doi.org/10.1109/GLOCOMW.2010.5701678
2010 IEEE GLOBECOM Workshop on Complex and Communication Networks (CCNet) (2010: Dec. 6-10, Miami, Florida)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Network Topology Model; Cost-Constraint; Geography; Population; Resilience; Technology Penetration
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Article - Conference proceedings
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