Optimized design of survivable MPLS over optical transport networks

  • Authors:
  • Wojtek Bigos;Bernard Cousin;StéPhane Gosselin;Morgane Le Foll;Hisao Nakajima

  • Affiliations:
  • France Télécom R&D-CORE/MCN, Lannion, France;University of Rennes 1, IRISA Research Laboratory, Rennes, France;France Télécom R&D-CORE/MCN, Lannion, France;France Télécom R&D-CORE/MCN, Lannion, France;France Télécom R&D-CORE/MCN, Lannion, France

  • Venue:
  • Optical Switching and Networking
  • Year:
  • 2006

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Abstract

In this paper we study different options for the survivability implementation in MPLS over Optical Transport Networks (OTNs) in terms of network resource usage and configuration cost. We investigate two approaches to the survivability deployment: single-layer survivability, where some recovery mechanism (e.g. protection or restoration) is implemented in a single network layer and multilayer survivability, where recovery is implemented in multiple network layers. The survivable MPLS over OTN design is implemented as a static network optimization problem and incorporates various methods for spare capacity allocation (SCA) to reroute disrupted traffic. The comparative analysis between the single layer and the multilayer survivability shows the influence of the traffic granularity on the survivability cost: for high-bandwidth LSPs, close to the optical channel capacity, the multilayer survivability outperforms the single layer one, whereas for low-bandwidth LSPs the single-layer survivability is more cost-efficient. For the multilayer survivability we demonstrate that by mapping efficiently the spare capacity of the MPLS layer onto the resources of the optical layer one can achieve up to 22% savings in the total configuration cost and up to 37% in the optical layer cost. Further savings (up to 9%) in the wavelength use can be obtained with the integrated approach to network configuration over the sequential one; however, this is at the increase in the optimization problem complexity. These results are based on a cost model with current technology pricing and were obtained for networks targeted to a nationwide coverage.