Mesh-based Survivable Transport Networks: Options and Strategies for Optical, MPLS, SONET and ATM Networking
Generalized multiprotocol label switching: an overview of routing and management enhancements
IEEE Communications Magazine
Design of logical topologies for wavelength-routed optical networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A study of waveband switching with multilayer multigranular optical cross-connects
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
On the benefits of traffic bifurcation in multi-granular optical transport networks
ONDM'10 Proceedings of the 14th conference on Optical network design and modeling
A new multi-granularity grooming algorithm based on traffic partition in IP over WDM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards the realistic planning of GMPLS-based optical transport networks
Photonic Network Communications
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With the ever-increasing traffic in WDM transport networks, the development of GMPLS (or multi-granular) transport networks becomes essential to avoid the cost explosion of OXCs. Much work has been devoted to the development of Multi-Granular Optical Crossconnect (MG-OXC) architectures and network design and planning methods. Extending these efforts here, we address a new problem of planning the GMPLS-based transport network by (1) considering the whole traffic hierarchy defined in GMPLS; and (2) allowing the bifurcation of multi-granularity traffic demands among different physical routes. We call such a problem the Routing and Multi-Granular Paths Assignment (RMGPA). The objective of the problem is to minimize the total weighted port count in the transport network. Due to the computational complexity of the problem, only very small-sized planning problems can be solved exactly through Mixed Integer Linear Programming (MILP) optimization. In this paper, we propose efficient heuristics that are capable of solving large-sized planning problems in a reasonable amount of time.