Design and provisioning of WDM networks with multicast traffic grooming

In this paper we consider the optimal design and provisioning of WDM networks for the grooming of multicast subwavelength traffic. We develop a unified framework for the optimal provisioning of different practical scenarios of multicast traffic grooming. We also introduce heuristic solutions. Optima...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2006-01, Vol.24 (4), p.53-53
Main Authors: Ul-Mustafa, R., Kamal, A.E.
Format: Article
Language:English
Subjects:
Add-drop multiplexers
Algorithms
Bandwidth
Bifurcation
Computer networks
Costs
Electronic components
Electronic equipment
Heuristic
Multicast
Multicasting
Networks
Optical fibers
Optimization
Provisioning
Studies
Telecommunication traffic
Traffic engineering
Traffic flow
Wavelength division multiplexing
WDM networks
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Summary:In this paper we consider the optimal design and provisioning of WDM networks for the grooming of multicast subwavelength traffic. We develop a unified framework for the optimal provisioning of different practical scenarios of multicast traffic grooming. We also introduce heuristic solutions. Optimal solutions are designed by exploiting the specifies of the problems to formulate Mixed Integer Linear Programs (MILPs). Specifically, we solve the generic multicast problem in which, given a set of multicast sessions and all destination nodes of a multicast session requiring the same amount of traffic, all demands need to be accommodated. The objective is to minimize the network cost by minimizing the number of higher layer electronic equipment and, simultaneously, minimizing the total number of wavelengths used. We also solve two interesting and practical variants of the traditional multicast problem, namely, multicasting with partial destination set reachability and multicasting with traffic thinning. For both variants, we also provide optimal as well as heuristic solutions. Also, the paper presents a number of examples based on the exact and heuristic approaches
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2006.1613771