Optical cost metrics in multi-layer traffic engineering for IP-over-optical networks

Puype, Bart; Yan, Qiang; Maesschalck, Sophie De; Colle, Didier; Pickavet, Mario; Demeester, Piet

doi:10.1109/icton.2004.1360248

Cited by 20 publications

(29 citation statements)

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“…We also indicate, for the PBRadjusted case, router load normalized with blocking rate (load × [1-blocking rate]), since for increasing IP request blocking, we will see router load saturating for high traffic volumes, as the optical layer becomes a bottleneck. However, as noted in [6], there is a limit to the amount of optimization that can be set by adjusting the optimization parameter of the metric. Beyond certain values, the optical metric will conflict with the IP cost function and break down the cost penalty for lightly loaded IP/MPLS links.…”

Section: Case Study and Simulation Resultsmentioning

confidence: 99%

“…We also presented some measures that can be taken to optimize this scheme more toward the underlying optical layer [6]. As presented in the figure above, no such measures are included yet since the cost function is still based entirely on IP/MPLS information.…”

Section: Ip/mpls Logical Topology Construction and Proactive Mltementioning

confidence: 99%

“…The MLTE scheme considered that the number of wavelengths in every path of the physical topology is unlimited. These assumptions did allow minimizing total capacity usage as a performance parameter [6] using an optical metric. However, the number of blocked connections in the optical layer was not a parameter to be minimized because of the unlimited number of wavelengths.…”

Section: Scheme Integrationmentioning

confidence: 99%

“…As can be expected, optical metrics were shown to influence optical layer blocking, since they optimize optical layer resource usage. However, the optical metrics in [6] were based on physical layer hop count and therefore static. If the goal is to dynamically resolve optical capacity bottlenecks, the optical metric needs to be a mechanism based on optical layer measurements, e.g., free wavelengths for each fiber.…”

Section: Scheme Integrationmentioning

confidence: 99%

“…The reference static metric M static is based on the shortest path hop count hops(s, d) between those nodes s and d. The metric is a linear function of hop count [6]:…”

Section: Pbr-based Optical Metricsmentioning

confidence: 99%

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Prediction-based routing as RWA in multilayer traffic engineering

et al. 2011

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Multilayer traffic engineering (MLTE) allows coping with ever-increasing and varying traffic demands in IP-over-Optical multilayer networks. It utilizes cross-layer TE (Traffic Engineering) techniques to provision optical lightpath capacity to the IP/MPLS (Internet Protocol/ MultiProtocol Label Switching) logical topology on-demand. Such provisioning however causes optical connection arrival rates that pose strong performance requirements to Routing and Wavelength Assignment (RWA) strategies. Collecting up-to-date network information for the RWA with rapidly changing network states can be quite difficult. Exposing optical layer state information to the IP layer in the overlay model, or transforming this optical layer information in a workable representation in an integrated control plane is similarly problematic. Prediction-Based Routing (PBR) has been proposed as a RWA mechanism for optical transport networks; it bases routing not on possibly inaccurate or outdated network state, but instead on previous connections set-up. In this article, we propose to implement PBR as the RWA mechanism in the optical layer of a multilayer network, and use the predictive capabilities of PBR to expose dynamic optical network information into the multilayer traffic engineering algorithm with minimal control plane overhead. Some simulations show the benefits of using the PBR in the optical layer for MLTE purposes.

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Section: Case Study and Simulation Resultsmentioning

confidence: 99%

Section: Ip/mpls Logical Topology Construction and Proactive Mltementioning

confidence: 99%

Section: Scheme Integrationmentioning

confidence: 99%

Section: Scheme Integrationmentioning

confidence: 99%

“…The reference static metric M static is based on the shortest path hop count hops(s, d) between those nodes s and d. The metric is a linear function of hop count [6]:…”

Section: Pbr-based Optical Metricsmentioning

confidence: 99%

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Prediction-based routing as RWA in multilayer traffic engineering

et al. 2011

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Multilayer Traffic Engineering Based on Transmission Quality and Grooming in the Next Generation Optical Internet

Colitti

Tran

Nowé

et al.

Advances in Computer, Information, and Systems Sciences, and Engineering

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Energy-Efficient Traffic Engineering

et al. 2013

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The energy consumption in telecommunication networks is expected to grow considerably, especially in core networks. In this chapter, optimization of energy consumption is approached from two directions. In a first study, multilayer traffic engineering is used to assign energy-efficient paths and logical topology to IP traffic. The relation with traditional capacity optimization is explained, and the multilayer traffic engineering strategy is applied for daily traffic variations. A second study considers the core network below the IP layer, giving a detailed power consumption model. Optical bypass is evaluated as a technique to achieve considerable power savings over per-hop optical-electronic-optical 3R regeneration

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Optical cost metrics in multi-layer traffic engineering for IP-over-optical networks

Cited by 20 publications

References 1 publication

Prediction-based routing as RWA in multilayer traffic engineering

Prediction-based routing as RWA in multilayer traffic engineering

Multilayer Traffic Engineering Based on Transmission Quality and Grooming in the Next Generation Optical Internet

Energy-Efficient Traffic Engineering

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