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Failure Localization Capability: Theorem Proof and Evaluation

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 Added by Liang Ma
 Publication date 2020
and research's language is English




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This is a technical report, containing all the theorem proofs and additional evaluations in paper Network Capability in Localizing Node Failures via End-to-end Path Measurements by Liang Ma, Ting He, Ananthram Swami, Don Towsley, and Kin K. Leung, published in IEEE/ACM Transactions on Networking, vol. 25, no. 1, pp. 434-450, 2017.

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This is a technical report, containing all the theorem proofs in paper On Optimal Monitor Placement for Localizing Node Failures via Network Tomography by Liang Ma, Ting He, Ananthram Swami, Don Towsley, and Kin K. Leung, published in IFIP WG 7.3 Performance, 2015.
49 - Liang Ma , Ting He , Kin K. Leung 2020
This is a technical report, containing all the theorem proofs and additional evaluations in paper Monitor Placement for Maximal Identifiability in Network Tomography by Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley, published in IEEE INFOCOM, 2014.
This is a technical report, containing all the theorem proofs in paper Node Failure Localization in Communication Networks via Network Tomography by Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung, and Jessica Lowe, published in ITA Annual Fall Meeting, 2014.
We give a general method of extending unital completely positive maps to amalgamated free products of C*-algebras. As an application we give a dilation theoretic proof of Bocas Theorem.
A networks transmission capacity is the maximal rate of traffic inflow that the network can handle without causing congestion. Here we study how to enhance this quantity by redistributing the capability of individual nodes while preserving the total sum of node capability. We propose a practical and effective node-capability allocation scheme which allocates a nodes capability based on the local knowledge of the nodes connectivity. We show the scheme enhances the transmission capacity by two orders of magnitude for networks with heterogenous structures.
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