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Robust Network Tomography in the Presence of Failures

Robust Network Tomography in the Presence of Failures. ICDCS 2014 Srikar Tati , Simone Silvestri , Ting He and Thomas La Porta Pennsylvania State University Wu W enbin. Background on network tomography. e2e measurements => linear system => solutions for each link

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Robust Network Tomography in the Presence of Failures

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  1. Robust Network Tomography in the Presence of Failures ICDCS 2014 SrikarTati, Simone Silvestri, Ting He and Thomas La Porta Pennsylvania State University Wu Wenbin

  2. Background on network tomography • e2e measurements • => linear system • => solutions for each link • Without failures • Without costs

  3. Impact of link failures

  4. Problem formulation • Expected rank of paths R : ER(R) • Probing cost of paths R : PC(R) • Problem statement:

  5. Budget-constraint optimization • NP-hard • Submodularfunction • => greedy algorithm with lower bound • Linear independence constraint • => greedy algorithm finds optimal solution

  6. RoMe algorithm • At least 1-1/(e^0.5) times of the optimal value

  7. Without knowledge of failures • Failure distribution -- unknown • ER(R,θ) instead of ER(R) • Find optimal for

  8. LSR algorithm

  9. Evaluation

  10. Contribution • Show importance of path selection in the presence of failures • RoMealgorithm • LSR algorithm

  11. Question

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