Ça peut intéresser du monde ici. (Sondage sur les problèmes gris, ou
non-binaires.)
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Liste de diffusion du FRnOG
http://www.frnog.org/
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Dear NANOG,
Detecting whole-link and node failures is relatively easy nowadays (e.g., using
BFD). But what about detecting gray failures that only affect a *subset* of the
traffic, e.g. a router randomly dropping 0.1% of the packets? Does your network
often experience these gray failures? Are they problematic? Do you care? And
can we (network researchers) do anything about it?”
Please help us out to find out by answering our short (<10 minutes) anonymous
survey.
Survey URL: https://forms.gle/v99mBNEPrLjcFCEu8
## Context:
When we think about network failures, we often think about a link or a network
device going down. These failures are "obvious" in that *all* the traffic
crossing the corresponding resource is dropped. But network failures can also
be more subtle and only affect a *subset* of the traffic (e.g. 0.01% of the
packets crossing a link/router). These failures are commonly referred to as
"gray" failures. Because they don't drop *all* the traffic, gray failures are
much harder to detect.
Many studies revealed that cloud and datacenter networks routinely suffer from
gray failures and, as such, many techniques exist to track them down in these
environments (see e.g. this study from Microsoft Azure
https://www.microsoft.com/en-us/research/wp-content/uploads/2017/06/paper-1.pdf).
What is less known though is how much gray failures affect *other* types of
networks such as Internet Service Providers (ISPs), Wide Area Networks (WAN),
or Enterprise networks. While the bug reports submitted to popular routing
vendors (Cisco, Juniper, etc.) suggest that gray failures are pervasive and
hard to catch for all networks, we would love to know more about first-hand
experiences.
## About the survey:
The questionnaire is intended for network operators. It has a total of 15
questions and should take at most 10 minutes to complete. The survey and the
collected data are totally anonymous (so please do not include information that
may help to identify you or your organization). All questions are optional, so
if you don't like a question or don't know the answer, just skip it.
Thank you so much in advance, and we look forward to read your responses!
Laurent Vanbever, ETH Zurich
PS: Of course, we would be extremely grateful if you could forward this email
to any operator you might know who may not read NANOG ( assuming those even
exist? :-) )!
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