Optimal resource provisioning for dynamic wavelength services with access port constraints

Xiaolan Joy Zhang, Steven S. Lumetta, Angela L. Chiu, Robert Doverspike

Research output: Contribution to journalArticlepeer-review

Abstract

With increasing demands for dynamic high data-rate private line services from large customers, network carriers have begun to provide flexible on-demand connections to construct these customers' networks. Advances in optical devices have greatly improved the reconfigurability of the optical layer, which makes it possible to provide optical on-demand services at wavelength granularity (10 Gbps to 40 Gbps per channel). This new dynamic wavelength service model allows a customer owning or leasing a few terminal ports in the network to connect these ports on demand. The network must be pre-dimensioned with enough resources to support any possible connection configuration between the preallocated ports of a dynamic wavelength customer. In this paper, we introduce a resource optimization problem for dynamic wavelength services and propose a few efficient techniques to tackle this challenging problem. A heuristic optimizer based on a combination of simulated annealing and genetic algorithms is developed to solve the problem efficiently for large networks.We show that our solver can produce optimization solutions within 7% overhead of a lower bound with a small amount of computation.

Original languageEnglish (US)
Article number5699895
Pages (from-to)756-769
Number of pages14
JournalJournal of Lightwave Technology
Volume29
Issue number5
DOIs
StatePublished - 2011

Keywords

  • Combinatorial optimization
  • dynamic wavelength service
  • optical networking
  • resource provisioning
  • wide area networking

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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