From mboxrd@z Thu Jan  1 00:00:00 1970
Return-Path: <rjmcmahon@rjmcmahon.com>
Received: from bobcat.rjmcmahon.com (bobcat.rjmcmahon.com [45.33.58.123])
 (using TLSv1.2 with cipher ADH-AES256-GCM-SHA384 (256/256 bits))
 (No client certificate requested)
 by lists.bufferbloat.net (Postfix) with ESMTPS id 4D38F3B29D;
 Tue, 25 Oct 2022 11:17:19 -0400 (EDT)
Received: from mail.rjmcmahon.com (bobcat.rjmcmahon.com [45.33.58.123])
 by bobcat.rjmcmahon.com (Postfix) with ESMTPA id 77AEE1B252;
 Tue, 25 Oct 2022 08:17:18 -0700 (PDT)
DKIM-Filter: OpenDKIM Filter v2.11.0 bobcat.rjmcmahon.com 77AEE1B252
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=rjmcmahon.com;
 s=bobcat; t=1666711038;
 bh=70iB5cVcBYU2Wfzg0UZPB18gI1AvbtwYwA9RVmUBw68=;
 h=Date:From:To:Cc:Subject:In-Reply-To:References:From;
 b=OpeKwaBn4AOIr6pu9F+IOaFg7pmQvcA+Udv8YZtYJ7al9vGqr1luAUYg610coa+x7
 RJnTAp4e9W6zqzhy2u82pYt//SdFCRjhnpck8tEii+A/Iy5nodDTlXn9VgbAfw1K5G
 haN9buqpMJlZEoFGavM+xAfVoTQESqoy7Ks8Iivs=
MIME-Version: 1.0
Date: Tue, 25 Oct 2022 08:17:18 -0700
From: rjmcmahon <rjmcmahon@rjmcmahon.com>
To: Neal Cardwell <ncardwell@google.com>
Cc: Christoph Paasch <cpaasch=40apple.com@dmarc.ietf.org>, Dave Taht via
 Starlink <starlink@lists.bufferbloat.net>, tsvwg IETF list <tsvwg@ietf.org>,
 IETF IPPM WG <ippm@ietf.org>, Rpm <rpm@lists.bufferbloat.net>, Glenn
 Fishbine <glenn@breakingpointsolutions.com>, Measurement Analysis and Tools
 Working Group <mat-wg@ripe.net>, discuss <discuss@measurementlab.net>
In-Reply-To: <CADVnQy=uGOczVGtVQH3pjuD4wGrPq_ZBi-Otih-jUDZ8x0Ceog@mail.gmail.com>
References: <CAA93jw4w27a1EO_QQG7NNkih+C3QQde5=_7OqGeS9xy9nB6wkg@mail.gmail.com>
 <CABs+J_DhaLPp8nba=hqrg6Z_Db3DBH1__FymBsqEXgSDo+8-5w@mail.gmail.com>
 <339AB8BC-9628-40E2-9339-77FCFA74488D@gmx.de>
 <26F033E5-2490-414E-8DFF-4ACD27B74075@apple.com>
 <E45A11AA-3EAD-4BA7-9D29-B3FDCAC0B5FE@gmx.de>
 <CAF33DDA-8421-4284-9C22-C86771CA7DF3@apple.com>
 <CADVnQy=uGOczVGtVQH3pjuD4wGrPq_ZBi-Otih-jUDZ8x0Ceog@mail.gmail.com>
Message-ID: <24d2e4c89cd4c9d0a4736f37cefa1e42@rjmcmahon.com>
X-Sender: rjmcmahon@rjmcmahon.com
Content-Type: multipart/mixed;
 boundary="=_fd7680ba2f4540fb4a0d03955c45e35f"
Subject: Re: [Rpm] [tsvwg] [Starlink] [M-Lab-Discuss] misery metrics &
 consequences
X-BeenThere: rpm@lists.bufferbloat.net
X-Mailman-Version: 2.1.20
Precedence: list
List-Id: revolutions per minute - a new metric for measuring responsiveness
 <rpm.lists.bufferbloat.net>
List-Unsubscribe: <https://lists.bufferbloat.net/options/rpm>,
 <mailto:rpm-request@lists.bufferbloat.net?subject=unsubscribe>
List-Archive: <https://lists.bufferbloat.net/pipermail/rpm>
List-Post: <mailto:rpm@lists.bufferbloat.net>
List-Help: <mailto:rpm-request@lists.bufferbloat.net?subject=help>
List-Subscribe: <https://lists.bufferbloat.net/listinfo/rpm>,
 <mailto:rpm-request@lists.bufferbloat.net?subject=subscribe>
X-List-Received-Date: Tue, 25 Oct 2022 15:17:19 -0000

--=_fd7680ba2f4540fb4a0d03955c45e35f
Content-Transfer-Encoding: 8bit
Content-Type: text/plain; charset=UTF-8;
 format=flowed

One sample for a subgroup, from an SPC perspective, is typically 
insufficient, e.g. Shewart control charts. Below are some suggestions:

https://bookdown.org/lawson/an_introduction_to_acceptance_sampling_and_spc_with_r26/shewhart-control-charts-in-phase-i.html

o) Define the subgroup size: Initially, this is a constant number of 4 
or 5 items per each subgroup taken over a short enough interval of time 
so that variation among them is due only to common causes.

o) Define the Subgroup Frequency: The subgroups collected should be 
spaced out in time, but collected often enough so that they can 
represent opportunities for the process to change.

o) Define the number of subgroups: Generally 25 or more subgroups are 
necessary to establish the characteristics of a stable process. If some 
subgroups are eliminated before calculating the revised control limits 
due to the discovery of assignable causes, additional subgroups may need 
to be collected so that there are at least 25 subgroups used in 
calculating the revised limits.

Then return the mean and variance per the control chart tables and the 
subgroup size. Also, keep in mind that the subgrouping is normalizing 
the samples so information is lost if the underlying distribution is not 
normal. That's why we give the full histogram in iperf 2. One can 
compare against normal.

https://en.wikipedia.org/wiki/Control_chart

Bob

> On Mon, Oct 24, 2022 at 7:44 PM Christoph Paasch
> <cpaasch=40apple.com@dmarc.ietf.org> wrote:
> 
>> On Oct 24, 2022, at 1:57 PM, Sebastian Moeller <moeller0@gmx.de>
>> wrote:
>> Hi Christoph
>> 
>> On Oct 24, 2022, at 22:08, Christoph Paasch <cpaasch@apple.com>
>> wrote:
>> 
>> Hello Sebastian,
>> 
>> On Oct 23, 2022, at 4:57 AM, Sebastian Moeller via Starlink
>> <starlink@lists.bufferbloat.net> wrote:
>> 
>> Hi Glenn,
>> 
>> On Oct 23, 2022, at 02:17, Glenn Fishbine via Rpm
>> <rpm@lists.bufferbloat.net> wrote:
>> 
>> As a classic died in the wool empiricist, granted that you can
>> identify "misery" factors, given a population of 1,000 users, how do
>> you propose deriving a misery index for that population?
>> 
>> We can measure download, upload, ping, jitter pretty much without
>> user intervention.  For the measurements you hypothesize, how you
>> you automatically extract those indecies without subjective user
>> contamination.
>> 
>> I.e.  my download speed sucks. Measure the download speed.
>> 
>> My isp doesn't fix my problem. Measure what? How?
>> 
>> Human survey technology is 70+ years old and it still has problems
>> figuring out how to correlate opinion with fact.
>> 
>> Without an objective measurement scheme that doesn't require human
>> interaction, the misery index is a cool hypothesis with no way to
>> link to actual data.  What objective measurements can be made?
>> Answer that and the index becomes useful. Otherwise it's just
>> consumer whining.
>> 
>> Not trying to be combative here, in fact I like the concept you
>> support, but I'm hard pressed to see how the concept can lead to
>> data, and the data lead to policy proposals.
>> 
>> [SM] So it seems that outside of seemingly simple to test
>> throughput numbers*, the next most important quality number (or the
>> most important depending on subjective ranking) is how does latency
>> change under "load". Absolute latency is also important albeit
>> static high latency can be worked around within limits so the change
>> under load seems more relevant.
>> All of flent's RRUL test, apple's networkQuality/RPM, and iperf2's
>> bounceback test offer methods to asses latency change under load**,
>> as do waveforms bufferbloat tests and even to a degree Ookla's
>> speedtest.net [1]. IMHO something like latency increase under load
>> or apple's responsiveness measure RPM (basically the inverse of the
>> latency under load calculated on a per minute basis, so it scales in
>> the typical higher numbers are better way, unlike raw latency under
>> load numbers where smaller is better).
>> IMHO what networkQuality is missing ATM is to measure and report
>> the unloaded RPM as well as the loaded the first gives a measure
>> over the static latency the second over how well things keep working
>> if capacity gets tight. They report the base RTT which can be
>> converted to RPM. As an example:
>> 
>> macbook:~ user$ networkQuality -v
>> ==== SUMMARY ====
>> 
>> Upload capacity: 24.341 Mbps
>> Download capacity: 91.951 Mbps
>> Upload flows: 20
>> Download flows: 16
>> Responsiveness: High (2123 RPM)
>> Base RTT: 16
>> Start: 10/23/22, 13:44:39
>> End: 10/23/22, 13:44:53
>> OS Version: Version 12.6 (Build 21G115)
> 
> You should update to latest macOS:
> 
> $ networkQuality
> ==== SUMMARY ====
> Uplink capacity: 326.789 Mbps
> Downlink capacity: 446.359 Mbps
> Responsiveness: High (2195 RPM)
> Idle Latency: 5.833 milli-seconds
> 
> ;-)
> 
>  [SM] I wish... just updated to the latest and greatest for this
> hardware (A1398):
> 
> macbook-pro:DPZ smoeller$ networkQuality
> ==== SUMMARY ====
> 
> Upload capacity: 7.478 Mbps
> Download capacity: 2.415 Mbps
> Upload flows: 16
> Download flows: 20
> Responsiveness: Low (90 RPM)
> macbook-pro:DPZ smoeller$ networkQuality -v
> ==== SUMMARY ====
> 
> Upload capacity: 5.830 Mbps
> Download capacity: 6.077 Mbps
> Upload flows: 12
> Download flows: 20
> Responsiveness: Low (56 RPM)
> Base RTT: 134
> Start: 10/24/22, 22:47:48
> End: 10/24/22, 22:48:09
> OS Version: Version 12.6.1 (Build 21G217)
> macbook-pro:DPZ smoeller$
> 
> Still, I only see the "Base RTT" with the -v switch and I am not sure
> whether that is identical to your "Idle Latency".
> 
> I guess I need to convince my employer to exchange that macbook
> (actually because the battery starts bulging and not because I am
> behind with networkQuality versions ;) )
> 
> Yes, you would need macOS Ventura to get the latest and greatest.
> 
>>> But, what I read is: You are suggesting that “Idle Latency”
>>> should be expressed in RPM as well? Or, Responsiveness expressed
>>> in millisecond ?
>> 
>> [SM] Yes, I am fine with either (or both) the idea is to make it
>> really easy to see whether/how much "working conditions" deteriorate
>> the responsiveness / increase the latency-under-load. At least in
>> verbose mode it would be sweet if nwtworkQuality could expose that
>> information.
> 
> I see - let me think about that…
> 
> +1 w/ Sebastian's point here. IMHO it would be great if the
> responsiveness under load and when idle were reported:
> 
>   (a) symmetrically, with the same metrics for both cases, and
> 
>   (b) in both RPM and ms terms for both cases
> 
> So instead of:
> 
> Responsiveness: High (2195 RPM)
> Idle Latency: 5.833 milli-seconds
> 
> Perhaps something like:
> 
> Loaded Responsiveness: High (XXXX RPM)
> Loaded Latency: X.XXX milli-seconds
> Idle Responsiveness: High (XXXX RPM)
> Idle Latency: X.XXX milli-seconds
> 
> Having both RPM and ms available for loaded and unloaded cases would
> seem to make it easier to compare loaded and idle performance more
> directly and in a more apples-to-apples way.
> 
> best,
> neal
> 
> 
> 
> Links:
> ------
> [1] http://speedtest.net
> _______________________________________________
> Rpm mailing list
> Rpm@lists.bufferbloat.net
> https://lists.bufferbloat.net/listinfo/rpm

--=_fd7680ba2f4540fb4a0d03955c45e35f
Content-Transfer-Encoding: base64
Content-Type: application/pdf;
 name=ControlChartConstantsAndFormulae.pdf
Content-Disposition: attachment;
 filename=ControlChartConstantsAndFormulae.pdf;
 size=59376
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--=_fd7680ba2f4540fb4a0d03955c45e35f--