Integrated IP/WDM routing in GMPLS-based optical networks

Comellas, Jaume; Martinez, Ralph; Prat, Josep; Sales, Vicent; Junyent, G.

doi:10.1109/mnet.2003.1188283

Cited by 64 publications

(52 citation statements)

References 5 publications

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“…The problem with grooming policies is that they are rigid in the sense that they are unable to express mixed layer-preference policies, taking into account the implied resource consumption (like "set up a new lightpath of length at most two hops, and if this attempt fails, use a mixture of existing and new lightpaths"). An early attempt to define such mixed-strategies is described in [16]. The most important findings of these works are that although certain layer-preference policies work well under specific circumstances (like in a lightly loaded network or one with unlimited wavelength conversion), there does not seem to exist a universally optimal static policy.…”

Section: Backgroundsmentioning

confidence: 99%

Layer-preference policies in multi-layer GMPLS networks

et al. 2009

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We address the problem of routing Label Switched Paths (LSPs) in multi-layer networks based on the Generalized MultiProtocol Label Switching (GMPLS) paradigm. In particular, we pursue policies for choosing the appropriate layer to host a new LSP request, as we find that such layer-preference policies have significant impact on network performance. We discuss several simple layer-preference policies and we reveal why these simple policies ruin network performance in the long run. Consequently, we develop an efficient heuristics, the Min-phys-hop routing and wavelength assignment algorithm, to govern the selection of the best layer of a multi-layer network in which to host new LSP requests. We discuss the applicability of this algorithm with respect to the state-of-the-art GMPLS standards, above all, the GMPLS routing extensions to OSPF-TE. By extensive simulations, we justify that the Min-phys-hop algorithm produces closeto-optimal blocking and resource consumption under almost all possible selections of input parameters, and this is regardless of the wavelength and Optical-Electrical-Optical (OEO) conversion capability present in the network.

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Section: Backgroundsmentioning

confidence: 99%

Layer-preference policies in multi-layer GMPLS networks

et al. 2009

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“…The routing protocol advertises these lower-order LSPs as FA-LSPs. The nodes may use FA-LSP for path computation, nesting lower-order LSPs into FA-LSPs [18]. The FA functionality was implemented with a proprietary extension to the routing protocol.…”

Section: B Implementation and Experimental Verification Of A Multilamentioning

confidence: 99%

Optical Core Networks Research in the e-Photon-ONe+ Project

Callegati

Cugini

Ghobril

et al. 2009

J. Lightwave Technol.

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“…In such wavelength-routed WDM networks, a set of optical transport channels, called lightpaths, are established between nodes via optical cross-connects (OXCs). Much research has been devoted to developing methods of carrying IP traffic, which is the majority of Internet traffic, over wavelength-routed WDM networks [1,7,11,17,20,22,28,34,35]. One approach for accommodating IP traffic on a wavelength-routed WDM network is to configure a virtual topology, which consists of lightpaths and IP routers.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Virtual Topology Control Based on Attractor Selection

Arakawa

Murata

2017

Nature-Inspired Computing and Optimization

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One approach for accommodating traffic on a wavelength-routed optical network is to construct a virtual topology by establishing a set of lightpaths between nodes. To adapt to various changes in network environments, we propose an adaptive virtual topology control method, which reconfigures virtual topologies according to changing network environments, in IP over wavelength-routed wavelength division multiplexing networks. To achieve adaptability in the virtual topology control method, we focus on attractor selection, which models behaviors where biological systems adapt to unknown changes in their surrounding environments. The biological system driven by attractor selection adapts to environmental changes by selecting attractors of which the system condition is preferable. Our virtual topology control method uses deterministic and stochastic behaviors and controls these two appropriately by simple feedback of IP network conditions. Unlike current heuristic virtual topology control methods developed in the area of engineering, our method does not rely on pre-defined algorithms and uses stochastic behaviors for adapting to changes in network environments. The simulation results indicate that our virtual topology control method based on attractor selection adaptively responds to changes in network environments caused by node failure and constructs operational virtual topologies in more than 95% of simulation trials when 20% of nodes in the physical network fail simultaneously.

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Integrated IP/WDM routing in GMPLS-based optical networks

Cited by 64 publications

References 5 publications

Layer-preference policies in multi-layer GMPLS networks

Layer-preference policies in multi-layer GMPLS networks

Optical Core Networks Research in the e-Photon-ONe+ Project

Adaptive Virtual Topology Control Based on Attractor Selection

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