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The Use of Demand-wise Shared Protection in Creating Topology Optimized High Availability Networks

  • Author / Creator
    Todd, Brody
  • In order to meet the availability requirements of modern communication networks, a number of survivability techniques were developed that adapt the demand-wise shared protection design model to incorporate strategies increasing network availability. The survivability methodologies developed took two approaches. The first incorporated availability directly into the network design model. The second ensured minimum dual failure restorability was set within the model. These methodologies were developed for predetermined topologies, as well as to have topology optimization incorporated into the model.
    All methodologies were implemented and analyzed on a set of samples. The analysis examined cost, topology and actual availability of the network designs. Availability design was effective but computationally intensive and difficult to design. Minimum dual failure restorability was also effective in increasing availability with a significant caveat, dual failure restorability increased exposure to possible failures, and without sufficient levels of dual failure restorability could have a negative impact on availability.

  • Subjects / Keywords
  • Graduation date
    Fall 2009
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R39134
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
  • Supervisor / co-supervisor and their department(s)
  • Examining committee members and their departments
    • Ingolfsson, Armann (Finance and Management Science)
    • Lipsett, Michael (Mechanical Engineering)
    • Flynn, Peter (Mechanical Engineering)
    • Doucette, John (Mechanical Engineering)