Yes, latency is complicated.... Back when I was involved in the
early Internet (early 1980s), we knew that latency was an issue
requiring much further research, but we figured that meanwhile
problems could be avoided by keeping traffic loads well below capacity
while the appropriate algorithms could be discovered by the engineers
(I was one...). Forty years later, it seems like it's still a
research topic.
Years later in the 90s I was involved in operating an international
corporate intranet. We quickly learned that keeping the human users
happy required looking at more than the routers and circuits between
them. With much of the "reliability mechanisms" of TCP et al now
located in the users' computers rather than the network switches,
evaluating users' experience with "the net" required measurements from
the users' perspective.
To do that, we created a policy whereby every LAN attached to the
long-haul backbone had to have a computer on that LAN to which we had
remote access. That enabled us to perform "ping" tests and also
collect data about TCP behavior (duplicates, retransmissions, etc.)
using SNMP, etherwatch, et al. It was not unusual for the users'
data to indicate that "the net", as they saw it, was misbehaving while
the network data, as seen by the operators, indicated that all the
routers and circuits were working just fine.
If the government regulators want to keep the users happy, IMHO they
need to understand this.
Jack Haverty
On 2/26/24 16:25, rjmcmahon wrote:
On top of all that, the latency responses tend to be non parametric
and may need full pdfs/cdfs along with non-parametric statistical
process controls. Attached is an example from many years ago which
was a firmware bug that sometimes delayed packet processing,
creating a second node in the pdf.
Engineers and their algorithms can be this way it seems.
Bob
I didn't study the whole report, but I didn't notice any metrics
associated with *variance* of latency or bandwidth. It's common for
vendors to play games ("Lies, damn lies, and statistics!") to make
their metrics look good. A metric of latency that says something
like "99% less than N milliseconds" doesn't necessarily translate
into
an acceptable user performance.
It's also important to look at the specific techniques used for
taking
measurements. For example, if a measurement is performed every
fifteen minutes, extrapolating the metric as representative of all
the
time between measurements can also lead to a metric judgement which
doesn't reflect the reality of what the user actually experiences.
In addition, there's a lot of mechanism between the ISPs' handling
of
datagrams and the end-user. The users' experience is affected by
how
all of that mechanism interacts as underlying network behavior
changes. When a TCP running in some host decides it needs to
retransmit, or an interactive audio/video session discards datagrams
because they arrive too late to be useful, the user sees
unacceptable
performance even though the network operators may think everything
is
running fine. Measurements from the end-users' perspective might
indicate performance is quite different from what measurements at
the
ISP level suggest.
Gamers are especially sensitive to variance, but it will also apply
to
interactive uses such as might occur in telemedicine or remote
operations. A few years ago I helped a friend do some tests for a
gaming situation and we discovered that the average latency was
reasonably low, but occasionally, perhaps a few times per hour,
latency would increase to 10s of seconds.
In a game, that often means the player loses. In a remote surgery
it
may mean horrendous outcomes. As more functionality is performed
"in
the cloud" such situations will become increasingly common.
Jack Haverty
On 2/26/24 12:02, rjmcmahon via Nnagain wrote:
Thanks for sharing this. I'm trying to find out what are the key
metrics that will be used for this monitoring. I want to make sure
iperf 2 can cover the technical, traffic related ones that make
sense to a skilled network operator, including a WiFi BSS manager. I
didn't read all 327 pages though, from what I did read, I didn't see
anything obvious. I assume these types of KPIs may be in reference
docs or something.
Thanks in advance for any help on this.
Bob
And...
Our bufferbloat.net submittal was cited multiple times! Thank you
all
for participating in that process!
https://docs.fcc.gov/public/attachments/DOC-400675A1.pdf
It is a long read, and does still start off on the wrong feet
(IMHO),
in particular not understanding the difference between idle and
working latency.
It is my hope that by widening awareness of more of the real
problems
with latency under load to policymakers and other submitters
downstream from this new FCC document, and more reading what we
had to
say, that we will begin to make serious progress towards finally
fixing bufferbloat in the USA.
I do keep hoping that somewhere along the way in the future, the
costs
of IPv4 address exhaustion and the IPv6 transition, will also get
raised to the national level. [1]
We are still collecting signatures for what the bufferbloat
project
members wrote, and have 1200 bucks in the kitty for further
articles
and/or publicity. Thoughts appreciated as to where we can go next
with
shifting the national debate about bandwidth in a better
direction!
Next up would be trying to get a meeting, and to do an ex-parte
filing, I think, and I wish we could do a live demonstration on
television about it as good as feynman did here:
https://www.youtube.com/watch?v=raMmRKGkGD4
Our original posting is here:
https://docs.google.com/document/d/19ADByjakzQXCj9Re_pUvrb5Qe5OK-QmhlYRLMBY4vH4/edit
Larry's wonderful post is here:
https://circleid.com/posts/20231211-its-the-latency-fcc
[1] How can we get more talking about IPv4 and IPv6, too? Will we
have
to wait another year?
https://hackaday.com/2024/02/14/floss-weekly-episode-769-10-more-internet/
--
https://blog.cerowrt.org/post/2024_predictions/
Dave Täht CSO, LibreQos
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