I’m not entirely certain these are problems that operators necessarily concern 
themselves with. Datacenters and specialized service networks, perhaps, but not 
internet service providers. Mainly because the internet is a relatively lossy 
beast with several performance inhibitors that constantly lie outside an 
operator’s control (i.e. bad filters seem to break the entire United States 
eastern seaboard at least once a year.) I’d wager most of us are not concerned 
with the kind of failure scenario you’re describing simply because there is no 
demand from our customers for sub-millisecond remediation. At least not from 
the ones who are willing to pay for it. 😉

---

Chris

From: NANOG <nanog-bounces+chris.wright=commnetbroadband....@nanog.org> On 
Behalf Of Matthew Nance Hall
Sent: Friday, August 5, 2022 12:24 PM
To: nanog@nanog.org
Cc: 'Ramakrishnan Durairajan' <r...@cs.uoregon.edu>; 'PAUL R BARFORD' 
<p...@cs.wisc.edu>; klaus-tycho.foers...@tu-dortmund.de
Subject: Question re. operator tools - somewhere betwixt fast failover and TE

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Hello,

I'm Matthew Nance-Hall (Matt), a PhD Candidate at the University of Oregon 
working with Prof. Ram Durairajan (UO), Prof. Paul Barford (UW-Madison) and 
Prof. Klaus-Tycho Foerster (TU Dortmund).

I was hoping someone could shed operator perspective on a research question 
we're exploring. We're interested in the timescales and mechanisms used to 
adjust data paths and wondering where gaps might exist between traffic 
engineering (TE), fast fail-over, and routing.

We're specifically curious about spatio-temporal characteristics where gaps 
might exist. For example, the topological scope of an event (congestion or 
outage) and the timescale for adjustments to be made. I'm aware there are 
operator tools such as fast fail-over and TE for making changes confined to 
single links or across the whole network but wonder if there is a place for 
events that have broader scope (beyond a single link but less than the whole 
network) where new inquiry and exploration would be welcome.

Thank you,
Matt

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