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Type: Conference paper
Title: COLD: Pop-level network topology synthesis
Author: Bowden, R.
Roughan, M.
Bean, N.
Citation: Proceedings of the 10th Conference on Emerging Networking Experiments and Technologies, 2014, pp.173-184
Publisher: ACM
Issue Date: 2014
ISBN: 9781450332798
Conference Name: 10th ACM International on Conference on emerging Networking Experiments and Technologies (CoNEXT) (2 Dec 2014 - 5 Dec 2014 : Sydney, NSW)
Statement of
Rhys Bowden, Matthew Roughan, Nigel Bean
Abstract: Network topology synthesis seeks methods to generate large numbers of example network topologies primarily for use in simulation. It is a topic that has received much attention over the years, underlying which is a con ict between randomness and design. Random graphs are appealing because they are simple and avoid the messy details that plague real networks. However real networks are messy, because network operators design their networks in the context of complex technological constraints, costs, and goals. When random models have been used they often produce patently unrealistic networks that only match a few arti cial connectivity statistics of real networks: the features that make the network useful and interesting are ignored. At best a network divorced from context is a purely mathematical object with no meaning or utility. At worst it can be completely misleading. However, design alone cannot generate an ensemble of networks with the variability needed in simulation. We need to balance design and randomness in a way that generates reasonable networks with given characteristics and predictable variability. This paper presents such a method, Combined Optimization and Layered Design (COLD), incorporating randomness and design principles to create ensembles of PoP-level synthetic networks.
Keywords: Topology generation; Heuristically Optimal Topologies
Rights: Copyright 2014 ACM
DOI: 10.1145/2674005.2675012
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Mathematical Sciences publications

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