Controlled synthesis of traffic matrices
Date
2017
Authors
Tune, P.
Roughan, M.
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Journal article
Citation
IEEE ACM Transactions on Networking, 2017; 25(3):1582-1592
Statement of Responsibility
Paul Tune and Matthew Roughan
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Abstract
The traffic matrix (TM) is a chief input in many network design and planning applications. In this paper, we propose a model, called the spherically additive noise model (SANM). In conjunction with iterative proportional fitting (IPF), it enables fast generation of synthetic TMs around a predicted TM. We analyze SANM and IPF’s action on the model to show theoretical guarantees on asymptotic convergence, in particular, convergence to the well-known gravity model.
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Dissertation Note
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Date of publication January 24, 2017; date of current version June 14, 2017.
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© 2017 IEEE