TY - GEN
T1 - Distributed optimization of converged IP-optical networks
AU - Elwalid, Anwar
AU - Mitra, Debasis
AU - Wang, Qiong
PY - 2005
Y1 - 2005
N2 - The Internet transport infrastructure is moving towards a model of high-speed router networks that are directly interconnected by re-configurable optical core networks. This IP over Optical (IPO) architecture, when coupled with the emerging IP-based Generalized Multi-Protocol Label Switching (GMPLS) control plane, offers network operators opportunities for dynamic, multi-layer optimization of traffic engineering. We present a novel approach for joint optical network provisioning and IP traffic engineering, in which the IP and optical network domains collaboratively achieve the objective of maximizing the benefit of carrying end-to-end IP traffic at the minimum lightpath design cost. Our approach is developed under the Overlay inter-networking model with each network having a limited view of the other. The cooperation is achieved through minimal information exchange. Our solution is based on a novel application of Generalized Bender's Decomposition to implement distributed, multi-layer optimization. The process converges to the optimal value of the objective function. A case study is presented to illustrate the proposed method.
AB - The Internet transport infrastructure is moving towards a model of high-speed router networks that are directly interconnected by re-configurable optical core networks. This IP over Optical (IPO) architecture, when coupled with the emerging IP-based Generalized Multi-Protocol Label Switching (GMPLS) control plane, offers network operators opportunities for dynamic, multi-layer optimization of traffic engineering. We present a novel approach for joint optical network provisioning and IP traffic engineering, in which the IP and optical network domains collaboratively achieve the objective of maximizing the benefit of carrying end-to-end IP traffic at the minimum lightpath design cost. Our approach is developed under the Overlay inter-networking model with each network having a limited view of the other. The cooperation is achieved through minimal information exchange. Our solution is based on a novel application of Generalized Bender's Decomposition to implement distributed, multi-layer optimization. The process converges to the optimal value of the objective function. A case study is presented to illustrate the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=33846605601&partnerID=8YFLogxK
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U2 - 10.1109/GLOCOM.2005.1577752
DO - 10.1109/GLOCOM.2005.1577752
M3 - Conference contribution
AN - SCOPUS:33846605601
SN - 0780394143
SN - 9780780394148
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 813
EP - 818
BT - GLOBECOM'05
T2 - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
Y2 - 28 November 2005 through 2 December 2005
ER -