[metrics-bugs] #33076 [Metrics/Analysis]: Graph onionperf and consensus information from Rob's experiments
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Thu Jan 30 10:36:54 UTC 2020
#33076: Graph onionperf and consensus information from Rob's experiments
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Reporter: mikeperry | Owner: metrics-team
Type: task | Status: needs_revision
Priority: Medium | Milestone:
Component: Metrics/Analysis | Version:
Severity: Normal | Resolution:
Keywords: metrics-team-roadmap-2020Q1 | Actual Points:
Parent ID: | Points:
Reviewer: | Sponsor:
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Comment (by mikeperry):
Ok I went and dug through the Tor and TorFlow source. For CDF-Relay-
Stream-Capacity, we actually need:
{{{
plot -> 1000*measured/min(rate, observed)
}}}
As min(rate,observed) is what TorFlow uses to multiply out the measured bw
weights. It does not include the middle "burst" value in this minimum.
For CDF−Relay−Utilization, we def want:
{{{
read_write := (read + written) / 2;
peak := observed
plot -> read_write / peak
}}}
> I recall the peak advertised bandwidth thing we talked about in
Whistler. It's significantly harder to compute than the current advertised
(or observed) bandwidth, because we need to include lots of descriptors
for that. We should pick a formula that we use for all experiments, not
just for this one. Maybe we can start with the single value and leave it
as a possible extension for the future to consider a moving window of 30
days.
Yeah.. so we really need this 30 day peak of the observed value, as that
gets us closer to the true network capacity and utilization. Rob's
experiment is useful exactly because it forces relays closer to their peak
capacity. Long term, I think metrics should be computing these 30 day
maxes continually and providing them as an auxillary csv or other data
stream for graphs like these.
For this experiment, it is interesting to see the direct change from 5 day
peak observed to Rob's new values, but if I had to pick only one graph, I
would still prefer using 30 day peaks.
--
Ticket URL: <https://trac.torproject.org/projects/tor/ticket/33076#comment:11>
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