Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations
Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami

TL;DR
This paper provides rigorous theorem proofs and additional evaluations for a method that efficiently identifies additive link metrics using network tomography, enhancing the theoretical foundation and empirical validation of the approach.
Contribution
It offers a complete set of theorem proofs and supplementary evaluations for an efficient network tomography method to identify additive link metrics.
Findings
Theoretical proofs confirm the method's correctness.
Additional evaluations demonstrate practical effectiveness.
Enhanced understanding of the method's limitations and strengths.
Abstract
This is a technical report, containing all the theorem proofs and additional evaluations in paper "Efficient Identification of Additive Link Metrics via Network Tomography" by Liang Ma, Ting He, Kin K. Leung, Don Towsley, and Ananthram Swami, published in IEEE ICDCS, 2013.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopological and Geometric Data Analysis · Data Management and Algorithms · Network Security and Intrusion Detection
