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Tag Archives: TMA
New paper “Bidirectional Anycast/Unicast Probing (BAUP): Optimizing CDN Anycast” at IFIP TMA 2020
We published a new paper “Bidirectional Anycast/Unicast Probing (BAUP): Optimizing CDN Anycast” by Lan Wei (University of Southern California/ ISI), Marcel Flores (Verizon Digital Media Services), Harkeerat Bedi (Verizon Digital Media Services), John Heidemann (University of Southern California/ ISI) at … Continue reading
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Tagged anycast, conference, isi, lacanic, network datasets, paaddos, TMA, usc, verizon
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new conference paper “Does Anycast Hang up on You?” in TMA 2017
The paper “Does Anycast hang up on you?” will appear in the 2017 Conference on Network Traffic Measurement and Analysis (TMA) July 21-23, 2017 in Dublin, Ireland. From the abstract: Anycast-based services today are widely used commercially, with several major … Continue reading
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Tagged anycast, conference, datasets, DNS, impact, isi, lacrend, measurement systems, network datasets, nipet, papers, predict, reliability, researchroot, tech report, TMA, usc
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new conference paper “Do You See Me Now? Sparsity in Passive Observations of Address Liveness” in TMA 2017
The paper “Do You See Me Now? Sparsity in Passive Observations of Address Liveness” will appear in the 2017 Conference on Network Traffic Measurement and Analyais (TMA) July 21-23, 2017 in Dublin, Ireland. The datasets from the paper that … Continue reading
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Tagged conference, datasets, Internet address space, Internet address usage, IPv4, isi, lacrend, lander, measurement systems, modeling, network datasets, papers, security, steel, TMA, usc
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new workshop paper “Assessing Affinity Between Users and CDN Sites” in TMA 2015
The paper “Assessing Affinity Between Users and CDN Sites” (available at http://www.isi.edu/~xunfan/research/Fan15a.pdf) will appear at the Traffic Monitoring and Analysis Workshop in April 2015 in Barcelona, Spain. From the abstract: Large web services employ CDNs to improve user performance. CDNs … Continue reading
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Tagged affinity, CDN, datasets, isi, lacrend, lander, measurement systems, network datasets, papers, predict, retro-future, TMA, usc, workshop
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