[lacnog] Fwd: [110attendees] Applied Networking Research Prize talks at IETF 110
Carlos M. Martinez
carlosm3011 en gmail.com
Vie Mar 5 16:22:28 -03 2021
Les comparto los ganadores del ANRP. Estos papers son en general mas
aplicados y menos académicos que el “paper normal” y por eso
quizás más cercanos a nosotros operadores.
¡Buen fin de semana!
> From: Colin Perkins <csp en csperkins.org>
> To: irtf-announce en irtf.org
> Cc: 110attendees en ietf.org
> Subject: [110attendees] Applied Networking Research Prize talks at
> IETF 110
> Date: Fri, 5 Mar 2021 19:19:45 +0000
> The Applied Networking Research Prize award talks for IETF 110 will be
> given by Audrey Randall <http://audrey-randall.github.io/>
> ("Trufflehunter: Cache Snooping Rare Domains at Large Public DNS
> Resolvers <https://doi.org/10.1145/3419394.3423640> ") and Francis Y.
> Yan <https://francisyyan.org/> ("Learning in situ: a randomized
> experiment in video streaming
> <https://www.usenix.org/conference/nsdi20/presentation/yan> ”).
> Francis will talk about his work to apply machine learning to video
> bitrate adaptation. In streaming nearly four decades worth of video to
> more than 60,000 users across the global Internet, researchers found
> the statistical margins of error in quantifying streaming performance
> are considerable. These uncertainties affect the design space of
> machine-learning approaches that can practically be deployed. The team
> then developed an adaptive bitrate (ABR) algorithm that robustly
> outperformed other schemes by reinforcement learning in situ. To
> support further investigation, they are publishing data and results on
> the Puffer website and inviting the research community to train and
> test new streaming algorithms.
> Audrey will discuss work on Trufflehunter, a DNS cache snooping tool
> for estimating the prevalence of rare and sensitive Internet
> applications. Unlike previous efforts that have focused on small,
> misconfigured open DNS resolvers, Trufflehunter models the complex
> behavior of large multi-layer distributed caching infrastructures. The
> large footprint of such resolvers presents an opportunity to observe
> rare domain usage, while preserving the privacy of the users accessing
> them. A controlled testbed allowed evaluation of how accurately
> Trufflehunter can estimate domain name usage across the U.S.,
> providing a way to make a lower-bound estimate about the popularity of
> several rare and sensitive applications (most notably smartphone
> stalkerware) which are otherwise challenging to survey.
> Look out for these talks in the IRTF Open Meeting on Monday – and
> find more information about the Applied Networking Research Prize at
> https://irtf.org/anrp/ <https://irtf.org/anrp/>
> Colin Perkins
> IRTF Chair
> 110attendees mailing list
> 110attendees en ietf.org
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