Prediction-based routing as RWA in multilayer traffic engineering
Visualitza/Obre
Cita com:
hdl:2117/16382
Tipus de documentArticle
Data publicació2012-04
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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/ Multi-Protocol 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has been proposedas a RWA mechanism for optical transport networks; it bases routing not on possibly inaccurate or outdated network state, but instead on previous connections set-up.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.
CitacióPuype, B. [et al.]. Prediction-based routing as RWA in multilayer traffic engineering. "Photonic network communications", Abril 2012, vol. 23, núm. 2, p. 172-182.
ISSN1387-974X
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
PBR_RWA_MTE_PNET.pdf | 684,7Kb | Visualitza/Obre |