IEEE/ACM Transactions on Networking (TON)
Network dimensioning and performance of multiservice, multirate loss networks with dynamic routing
IEEE/ACM Transactions on Networking (TON)
The Multi-Hour Bandwidth Packing Problem with Response Time Guarantees
Information Technology and Management
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
Finding Critical Traffic Matrices
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
A quantitative measure for telecommunications networks topology design
IEEE/ACM Transactions on Networking (TON)
Domination Between Traffic Matrices
Mathematics of Operations Research
MatPlanWDM: an educational tool for network planning in wavelength-routing networks
ONDM'07 Proceedings of the 11th international IFIP TC6 conference on Optical network design and modeling
Routing and wavelength assignment of scheduled lightpath demands
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications - Part Supplement
On traffic domination in communication networks
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
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In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic domination relation between sets of traffic matrices to multi-hour network planning. Two problem variants are considered: a network with a static, and with a dynamic traffic routing. We derive a set of techniques for, given a multi-hour traffic demand potentially composed of hundreds of matrices, obtaining a traffic series with a smaller number of matrices. The traffic domination relation guarantees that the network designed for the simplified series is suitable for the original one. Also, we apply the domination relation to derive lower bounds to the network cost, and upper bounds to the suboptimality incurred by simplifying the traffic demand. The algorithms proposed are tested in a case of study with the Abilene network. In our tests, a long traffic series could be reduced to a small number of traffic matrices, and be effective for network planning.