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https://hdl.handle.net/2440/97231
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Type: | Conference paper |
Title: | Network-design sensitivity analysis |
Author: | Tune, P. Roughan, M. |
Citation: | Performance Evaluation Review, 2014, vol.42, iss.1, pp.449-461 |
Publisher: | Association for Computing Machinery |
Issue Date: | 2014 |
ISBN: | 9781450327893 |
ISSN: | 0163-5999 |
Conference Name: | 2014 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2014) (16 Jun 2014 - 20 Jun 2014 : Austin, Texas) |
Statement of Responsibility: | Paul Tune and Matthew Roughan |
Abstract: | Traffic matrices are used in many network engineering tasks, for instance optimal network design. Unfortunately, measurements of these matrices are error-prone, a problem that is exacerbated when they are extrapolated to provide the predictions used in planning. Practical network design and management should consider sensitivity to such errors, but although robust optimisation techniques exist, it seems they are rarely used, at least in part because of the difficulty in generating an ensemble of admissible traffic matrices with a controllable error level. We address this problem in our paper by presenting a fast and flexible technique of generating synthetic traffic matrices. We demonstrate the utility of the method by presenting a methodology for robust network design based on adaptation of the mean-risk analysis concept from finance. |
Keywords: | Mean-risk analysis network design network planning sensitivity analysis traffic matrix synthesis |
Rights: | © Authors |
DOI: | 10.1145/2591971.2591979 |
Published version: | http://dx.doi.org/10.1145/2637364.2591979 |
Appears in Collections: | Aurora harvest 3 Mathematical Sciences publications |
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