[lacnog] Fwd: [110attendees] Applied Networking Research Prize talks at IETF 110

[Carlos M. Martinez]

¡Hola!

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!

/Carlos

Forwarded message:

> 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
> https://www.ietf.org/mailman/listinfo/110attendees
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