Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Controlled synthesis of traffic matrices
Author: Tune, P.
Roughan, M.
Citation: IEEE ACM Transactions on Networking, 2017; 25(3):1582-1592
Publisher: IEEE
Issue Date: 2017
ISSN: 1063-6692
Statement of
Paul Tune and Matthew Roughan
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.
Keywords: Internet traffic matrix; iterative proportional fitting; sensitivity analysis; synthetic generation
Description: Date of publication January 24, 2017; date of current version June 14, 2017.
Rights: © 2017 IEEE
DOI: 10.1109/TNET.2016.2639066
Grant ID:
Appears in Collections:Aurora harvest 8
Mathematical Sciences publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.