2012
DOI: 10.1016/j.comnet.2012.03.016
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An energy-aware dynamic RWA framework for next-generation wavelength-routed networks

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Cited by 38 publications
(21 citation statements)
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“…Note that, since nodes in V can be either electronic routers equipped with energy-hungry switching fabrics or optical cross-connects, empowered by more energy-efficient matrices implemented by using MEMS or liquid-crystal on silicon (LCoS) devices, their energy scaling factors are different (we use the same values as [23]). Since no sleep mode is allowed for the optical amplifiers and they always operate on the entire band involved (e.g., the C-Band), they are not considered in the equation, being an invariant factor.…”
Section: Routermentioning
confidence: 99%
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“…Note that, since nodes in V can be either electronic routers equipped with energy-hungry switching fabrics or optical cross-connects, empowered by more energy-efficient matrices implemented by using MEMS or liquid-crystal on silicon (LCoS) devices, their energy scaling factors are different (we use the same values as [23]). Since no sleep mode is allowed for the optical amplifiers and they always operate on the entire band involved (e.g., the C-Band), they are not considered in the equation, being an invariant factor.…”
Section: Routermentioning
confidence: 99%
“…As for space complexity, the multigraph network representation employed by HyLERA requires less space with respect to the layered graph approach conventionally used in dynamic RWA algorithms [23]. Using up to λ wavelengths on each edge, the layered representation with C converter nodes will require λn + 2 nodes (λ layers, each dedicated to an individual wavelength, plus two additional nodes to serve as ingress and egress) and λm + 2λ + C · (λ − 1) edges (converters can be modeled by cross-layer edges that connect each layer to the λ adjacent layer -a wavelength conversion spanning multiple frequencies will thus entail many such edges in sequence), while the equivalent multigraph representation will require only n nodes and λm edges, thus notably reducing the space complexity.…”
Section: Time and Space Complexity Analysismentioning
confidence: 99%
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“…To this end, the usage of renewable energy sources (such as solar panels and wind turbines) as opposed to traditional ones (such as coal and fuel) has gained importance [1]. These environmental concerns also have a technological aspect.…”
Section: Introductionmentioning
confidence: 98%
“…The main issue the current research confronts is the low lightpath reuse rate (directly correlated to the power consumption) of existing energy-efficient methods [4]- [6] for designing the virtual topology (set of lightpaths that fulfill logical connections between node-pairs), and the ability to effectively design the topology [7] with energy-efficiency as goal, either through off-line planning or during the on-line operation of a network. Power saving increases when the reuse rate gets higher, but this happens at the expense of the computational complexity.…”
Section: Introductionmentioning
confidence: 99%