Deriving Network Topologies from Real World Constraints
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.
Recommended Citation
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
Meeting Name
2010 IEEE GLOBECOM Workshop on Complex and Communication Networks (CCNet) (2010: Dec. 6-10, Miami, Florida)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
European Commission
Keywords and Phrases
Network Topology Model; Cost-Constraint; Geography; Population; Resilience; Technology Penetration
International Standard Book Number (ISBN)
978-1-4244-8865-0
Electronic OCLC #
733820263
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2010 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2010