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Robust Designs for WDM Routing and Provisioning Jeff Kennington & Eli Olinick Southern Methodist University Augustyn Ortynski & Gheorghe Spiride Nortel.

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Presentation on theme: "Robust Designs for WDM Routing and Provisioning Jeff Kennington & Eli Olinick Southern Methodist University Augustyn Ortynski & Gheorghe Spiride Nortel."— Presentation transcript:

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2 Robust Designs for WDM Routing and Provisioning Jeff Kennington & Eli Olinick Southern Methodist University Augustyn Ortynski & Gheorghe Spiride Nortel Networks

3 Equipment modeling – sample network link LTE …… …… TE …… LTE …… …… TE ……

4 Unmet demand Satisfied demand Excess capacity Underprovisioned Case DallasAtlanta Perfect Match Case LAPhoenix Overprovisioned Case BostonNYC

5 Overprovisioned Case Underprovisioned Case Perfect Match Case UnderprovisioningOverprovisioning Regret

6 Overprovisioned Case Underprovisioned Case Perfect Match Case UnderprovisioningOverprovisioning Regret

7 If the point-to-point demands are known, then we can develop a perfect design. If the demands (which are forecasts) are not known with certainty, then we develop a design that attempts to minimize regret over a range of possible demands.

8 Atlanta San Francisco Los Angeles Dallas Chicago Boston New York Example

9 ATLBOSCHIDALLANYSF ATL BOS CHI DAL LA NY-4652 SF- Distance Matrix (KM)

10 ATLBOSCHIDALLANYSF ATL BOS CHI----- DAL---- LA--- NY-540 SF- Scenario #1 Demand Matrix (DS3s)

11 ATLBOSCHIDALLANYSF ATL BOS CHI----- DAL---- LA--- NY-1540 SF- Scenario #2 Demand Matrix (DS3s)

12 ATLBOSCHIDALLANYSF ATL BOS CHI----- DAL---- LA--- NY-2540 SF- Scenario #3 Demand Matrix (DS3s)

13 Atlanta San Francisco Los Angeles Dallas Chicago Boston New York Scenario #1 Solution

14 Atlanta San Francisco Los Angeles Dallas Chicago Boston New York Scenario #2 Optimal Solution

15 Atlanta San Francisco Los Angeles Dallas Chicago Boston New York Scenario #3 Solution

16 Atlanta San Francisco Los Angeles Dallas Chicago Boston New York Robust Solution

17 The End


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