Hi all, Thanks to Henk and Al, the authors have now updated the LSP DPPM draft. http://www.ietf.org/internet-drafts/draft-ietf-ccamp-lsp-dppm-02.txt The two notable changes are: 1) We recovered the *sample definition* part which was removed from older versions. We feel the existing IPPM framework (by defining a singleton metric followed by definition of samples of singleton values) is the most convenient and reasonable way for us to cover the bound issue raised by Henk and Al. The arrival parameters can also be placed comfortablely in this sectioin. 2) Two experts from Carriers joined us: Dr. Tomohiro Otani (KDDI) and Dr. Ruiquan Jing (CT). Inputs from carriers has always been one major driving force for this work. The close involvement of carriers will possibly guidepZ铓櫒暫.澢瑝隷⒏光n焠6觺暨m4?瓜j豬殙[㈤躾葹碟+乻珚T瑕j%j?婘é卅喝灥?€7鳙y澡夒_j?%j?婘湤贩jk%r墤y洽界_畨帝?諾jXh草v颩5o'(跉蒤璨租?瓌D孡鴿?7鉷:?S鬼?轹覱6觺暨N粜鹩\赈?跁:)殙\⒎穓k%r墐zX痾窛N奻(跉蒤^q璇y纂hq゛⑺e∑?譶粲V騬娹荸瑫?>?~,p娯DH南夀E?v?v?炢俷焟4髆7颩达M 5諍滑I僻濈Z櫕獗俎莲Z毶\谣﹨暔 9t﹋d湤犯呓WJ枽-朕晅﹋d璲郜6?⒎
Hi all,
Thanks to Henk and Al, the authors have now updated the LSP DPPM draft.
http://www.ietf.org/internet-drafts/draft-ietf-ccamp-lsp-dppm-02.txt
The two notable changes are:
1) We recovered the *sample definition* part which was removed from older versions.
We feel the existing IPPM framework (by defining a singleton metric followed by definition of samples of singleton values) is the most convenient and reasonable way for us to cover the bound issue raised by Henk and Al. The arrival parameters can also be placed comfortablely in this sectioin.
2) Two experts from Carriers joined us: Dr. Tomohiro Otani (KDDI) and Dr. Ruiquan Jing (CT).
Inputs from carriers has always been one major driving force for this work. The close involvement of carriers will possibly guides us to define more metrics, and accelerate the adoption of the defined metrics in testing and operational environments.
Below, I try to summarize the received comments and the changes made accordingly. Please let us know if you have further comments.
-Comments from Henk
3.4. Units.
I don't think this is quite correct: you start to measure at T1 and
wait for the setup to complete. However, it doesn't, so at some point
you become bored and stop the measurement. You report undefined.
However, one then has to report in the metrics parameters when the
measurement will be stopped. This value should be added to the
metrics parameters. (Note: this will apply to more metrics).
Response: Yes this has been addressed in the sample definition sections, section 8-12.
-------------------------------------
4.3. Metrics Parameters.
In IPPM speak, Lamba refers to a rate but it also specifies a distribution
for the interval between probe packets. For example, poisson or periodic.
The draft should mention which distribution to use.
Response:We mentioned the use of poisson process in sections like 4.5/4.6/4.7. For sample definition, we mentioned it before actual definition begins.
However, despite the poisson process, periodic process may also be used in the sampling process. The question is that do we need a new parameter for the choice of different arrival model? We would like to have your comments.
----------------------------
12.1. Statistics.
I think you better report the 5th or 10th percentile of the distributions,
rather than the minimum (and the same for the maximum). This excludes
data points where something went wrong in the measurement process.
Response: This section is now numbered 14 in the new version. We give a generalized definition of percentile in 14.3. Hope it works.
=====
-Comments from Al
As I've said in the past, this draft is an excellent start,
and because it adopts the metric template used in bmwg and ippm,
it's an easy read. Thanks for doing that part.
Thanks. It feels good to be native. : -)
----------------------------------------------
There is a taxonomy of possible outcomes for set-up protocols.
Each set-up attempt will have one of the following outcomes:
1. Success
2. Failure
3. Incorrect Set-up (wrong destination)
The same basic outcomes apply to release attempts.
In the current text, the set-up time metrics cover the
Successful outcome (they could be called Successful *.* Setup Time).
.....For more nit-picking background, read
http://tools.ietf.org/id/draft-morton-ippm-reporting-metrics-05.txt
So, I propose to add metrics to cover the Failure outcome,
defined as a count of failures=Undefined setup times divided by the
total attempts. ...
Adding metrics to cover the Incorrect setup/release outcome
would complete the taxonomy. ...
Response: Thanks for the detailed explanations and for pointing us to the draft. We totally agree. We have added a new section, section 13 to discuss this (below).
Any more comments on that?
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