Hybrid centralized pre-computing/local distributed optimization of shared disjoint-backup path approach to GMPLS optical mesh network intelligent restoration

Qian Gong; Rong Xu; Jintong Lin

doi:10.1117/12.523680

15 April 2004 Hybrid centralized pre-computing/local distributed optimization of shared disjoint-backup path approach to GMPLS optical mesh network intelligent restoration

Qian Gong, Rong Xu, Jintong Lin

Author Affiliations +

Proceedings Volume 5282, Network Architectures, Management, and Applications; (2004) https://doi.org/10.1117/12.523680
Event: Asia-Pacific Optical and Wireless Communications, 2003, Wuhan, China

Abstract

Wavelength Division Multiplexed (WDM) networks that route optical connections using intelligent optical cross-connects (OXCs) is firmly established as the core constituent of next generation networks. Rapid failure recovery is fundamental to building reliable transport networks. Mesh restoration promises cost effective failure recovery compared with legacy ring networks, and is now seeing large-scale deployment. Many carriers are migrating away from SONET ring restoration for their core transport networks and replacing it with mesh restoration through “intelligent” O-E-O cross-connects (XC). The mesh restoration is typically provided via two fiber-disjoint paths: a service path and a restoration path. this scheme can restore any single link failure or node failure. And by used shared mesh restoration, although every service route is assigned a restoration route, no dedicated capacity needs to be reserved for the restoration route, resulting in capacity savings. The restoration approach we propose is Centralized Pre-computing, Local Distributed Optimization, and Shared Disjoint-backup Path. This approach combines the merits of centralized and distributed solutions. It avoids the scalability issues of centralized solutions by using a distributed control plane for disjoint service path computation and restoration path provisioning. Moreover, if the service routes of two demands are disjoint, no single failure will affect both demands simultaneously. This means that the restoration routes of these two demands can share link capacities, because these two routes will not be activated at the same time. So we can say, this restoration capacity sharing approach achieves low restoration capacity and fast restoration speed, while requiring few control plane changes.

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Qian Gong, Rong Xu, and Jintong Lin "Hybrid centralized pre-computing/local distributed optimization of shared disjoint-backup path approach to GMPLS optical mesh network intelligent restoration", Proc. SPIE 5282, Network Architectures, Management, and Applications, (15 April 2004); https://doi.org/10.1117/12.523680

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KEYWORDS

Optical networks

Wavelength division multiplexing

Networks

Optimization (mathematics)

Databases

Network architectures

Internet

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