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Date: Tue, 03 Sep 2002 07:33:50 -0400

--NextPart

A New Internet-Draft is available from the on-line Internet-Drafts directories.
This draft is a work item of the IP Performance Metrics Working Group of the IETF.

	Title		: A One-way Active Measurement Protocol Requirements
	Author(s)	: S. Shalunov, B. Teitelbaum
	Filename	: draft-ietf-ippm-owdp-reqs-04.txt
	Pages		: 10
	Date		: 2002-8-30
	
With growing availability of good time sources to network nodes, it
becomes increasingly possible to measure one-way IP performance
metrics with high precision.  To do so in an interoperable manner, a
common protocol for such measurements is required.  This document
specifies requirements for a one-way active measurement protocol
(OWAMP) standard.  The protocol can measure one-way delay, as well as
other unidirectional characteristics, such as one-way loss.

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--NextPart

A New Internet-Draft is available from the on-line Internet-Drafts directories.
This draft is a work item of the IP Performance Metrics Working Group of the IETF.

	Title		: A One-way Active Measurement Protocol
	Author(s)	: S. Shalunov, B. Teitelbaum, M. Zekauskas
	Filename	: draft-ietf-ippm-owdp-05.txt
	Pages		: 27
	Date		: 2002-8-30
	
The IETF IP Performance Metrics (IPPM) working group has proposed
draft standard metrics for one-way packet delay [RFC2679] and loss
[RFC 2680] across Internet paths.  Although there are now several
measurement platforms that implement collection of these metrics
[SURVEYOR], [RIPE], there is not currently a standard that would
permit initiation of test streams or exchange of packets to collect
singleton metrics in an interoperable manner.
With the increasingly wide availability of affordable global
positioning system (GPS) and CDMA based time sources, hosts
increasingly have available to them very accurate time
sources--either directly or through their proximity to NTP primary
(stratum 1) time servers.  By standardizing a technique for
collecting IPPM one-way active measurements, we hope to create an
environment where IPPM metrics may be collected across a far broader
mesh of Internet paths than is currently possible.  One particularly
compelling vision is of widespread deployment of open OWAMP servers
that would make measurement of one-way delay as commonplace as
measurement of round-trip time using an ICMP-based tool like ping.
Additional design goals of OWAMP include being hard to detect and
manipulate, security, logical separation of control and test
functionality, and support for small test packets.
OWAMP test traffic is hard to detect, because it is simply a stream
of UDP packets from and to negotiated port numbers with potentially
nothing static in the packets (size is negotiated, too).
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the traffic, at the same time making it impossible to alter
timestamps undetectably.
Security features include optional authentication and/or encryption
of control and test messages.  These features may be useful to
prevent unauthorized access to results or man-in-the-middle attackers
who attempt to provide special treatment to OWAMP test streams or who
attempt to modify sender

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From ippm-admin@advanced.org  Sat Sep  7 08:16:50 2002
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Date: Sat, 07 Sep 2002 14:13:38 +0200

Dear all,

Where might I find quantitative metric requirements for services such as
VoIP? E.g. what are recommended values for one-way delay and packet loss
for a VoIP service?

Regard,
Henrik.

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From ippm-admin@advanced.org  Sun Sep  8 04:39:41 2002
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Subject: RE: [ippm] metric requirements
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Date: Sun, 8 Sep 2002 11:38:52 +0300
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Greetings,

ETSI project TIPHON has done work on this, please take a look at WG5 documents at http://docbox.etsi.org/tiphon/tiphon/07-drafts/wg5/_Published/. The relevant document series is numbered 101 329-X, where "X" is one or more digits. (Funky naming, that.) In those document I think there are pointers to other sources such as ITU-T.

	BR, 
	  Vilho

> -----Original Message-----
> From: ext H.E.Holland [mailto:h.e.holland@student.utwente.nl]
> Sent: 07 September 2002 15:14
> To: ippm@advanced.org
> Subject: [ippm] metric requirements
> 
> 
> Dear all,
> 
> Where might I find quantitative metric requirements for 
> services such as
> VoIP? E.g. what are recommended values for one-way delay and 
> packet loss
> for a VoIP service?
> 
> Regard,
> Henrik.
> 
> _______________________________________________
> ippm mailing list
> ippm@advanced.org
> http://mailhost.advanced.org/mailman/listinfo/ippm
> 

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From ippm-admin@advanced.org  Sun Sep  8 22:46:05 2002
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To: <vilho.raisanen@nokia.com>, <h.e.holland@student.utwente.nl>,
        <ippm@advanced.org>
From: Al Morton <acmorton@att.com>
Subject: RE: [ippm] metric requirements
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Date: Sun, 08 Sep 2002 22:45:26 -0400

One ITU-T doc that Vilho refers to can be
obtained in near-final form here:
ftp://ftp.t1.org/T1A1/2001-a13/1a130351.ps
(covers VoIP and more)
Al

At 11:38 AM 09/08/2002 +0300, vilho.raisanen@nokia.com wrote:
>Greetings,
>
>ETSI project TIPHON has done work on this, please take a look at WG5 
>documents at 
>http://docbox.etsi.org/tiphon/tiphon/07-drafts/wg5/_Published/. The 
>relevant document series is numbered 101 329-X, where "X" is one or more 
>digits. (Funky naming, that.) In those document I think there are pointers 
>to other sources such as ITU-T.
>
>         BR,
>           Vilho
>
> > -----Original Message-----
> > From: ext H.E.Holland [mailto:h.e.holland@student.utwente.nl]
> > Sent: 07 September 2002 15:14
> > To: ippm@advanced.org
> > Subject: [ippm] metric requirements
> >
> >
> > Dear all,
> >
> > Where might I find quantitative metric requirements for
> > services such as
> > VoIP? E.g. what are recommended values for one-way delay and
> > packet loss
> > for a VoIP service?
> >
> > Regard,
> > Henrik.
> >
> > _______________________________________________
> > ippm mailing list
> > ippm@advanced.org
> > http://mailhost.advanced.org/mailman/listinfo/ippm
> >
>
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm

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From ippm-admin@advanced.org  Wed Sep 11 18:52:46 2002
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From: "Hedayat, Kaynam" <khedayat@brixnet.com>
To: "'H.E.Holland'" <h.e.holland@student.utwente.nl>, ippm@advanced.org
Subject: RE: [ippm] metric requirements
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Date: Wed, 11 Sep 2002 16:30:11 -0400

You will find recommended one-way latency values in the IUT-T G.114
recommendation.

Kaynam Hedayat
Brix Networks

-----Original Message-----
From: H.E.Holland [mailto:h.e.holland@student.utwente.nl]
Sent: Saturday, September 07, 2002 8:14 AM
To: ippm@advanced.org
Subject: [ippm] metric requirements


Dear all,

Where might I find quantitative metric requirements for services such as
VoIP? E.g. what are recommended values for one-way delay and packet loss
for a VoIP service?

Regard,
Henrik.

_______________________________________________
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ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm
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From ippm-admin@advanced.org  Wed Sep 11 19:37:14 2002
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From: "R. S. Bloomfield" <randy@its.bldrdoc.gov>
To: "Hedayat, Kaynam" <khedayat@brixnet.com>,
        "'H.E.Holland'" <h.e.holland@student.utwente.nl>, <ippm@advanced.org>
References: <07B0D4912B83D31188F300A0C9F62EBB01BE8041@mail.brixnet.com>
Subject: Re: [ippm] metric requirements
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Perhaps of interest to you would be ITU-T Recommendation G.1010
(2001), "End-user multimedia QoS categories," and its normative (ITU-T
F.700 (2000), G.131 (1996), G.114 (2000), and ETSI TS 101329-2 (2002))
and informative (Appendix II/Bibliography) references.   Also of
possible interest would be Y.1541 (2002), "Network performance
objectives for IP-based services"
(ftp://ftp.t1.org/Pub/T1S1/T1S1.0/2002/2s101490.pdf).

Regards,

- Randy Bloomfield, NTIA/ITS.P

----- Original Message -----
From: "Hedayat, Kaynam" <khedayat@brixnet.com>
To: "'H.E.Holland'" <h.e.holland@student.utwente.nl>;
<ippm@advanced.org>
Sent: Wednesday, September 11, 2002 2:30 PM
Subject: RE: [ippm] metric requirements


You will find recommended one-way latency values in the IUT-T G.114
recommendation.

Kaynam Hedayat
Brix Networks

-----Original Message-----
From: H.E.Holland [mailto:h.e.holland@student.utwente.nl]
Sent: Saturday, September 07, 2002 8:14 AM
To: ippm@advanced.org
Subject: [ippm] metric requirements


Dear all,

Where might I find quantitative metric requirements for services such
as
VoIP? E.g. what are recommended values for one-way delay and packet
loss
for a VoIP service?

Regard,
Henrik.

_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm
_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm




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From ippm-admin@advanced.org  Fri Sep 13 05:05:01 2002
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From: "STEPHAN Emile FTRD/DAC/LAN" <emile.stephan@rd.francetelecom.com>
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Subject: [ippm] draft-stephan-ippm-spatial-metrics-00.txt
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Hello,

An new I-D related to measurement is available online http://www.ietf.org/internet-drafts/draft-stephan-ippm-spatial-metrics-00.txt

Abstract:
	  The IETF IP Performance Metrics (IPPM) working group has standardized 
	  metrics for measuring end to end performance. Measurements system 
	  scope is often limited to administrative boundaries. This memo 
	  defines spatial metrics both for measuring end-to-end network 
	  performance using aggregation of sequence of network measures and for 
	  measuring the performance of segment of an IP path trajectory. It 
	  distinguishes clearly the decomposition of one end-to-end measure 
	  result in a sequence of per hop results from the aggregation of a 
	  sequence of per hop measure results in an end-to-end result. 

 
best regards.
Emile


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From ippm-admin@advanced.org  Tue Sep 17 17:45:20 2002
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To: stanislav shalunov <shalunov@internet2.edu>, victor.reijs@surfnet.nl
From: "H.E.Holland" <h.e.holland@student.utwente.nl>
Subject: Re: [ippm] concatenation of QoS parameters
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Date: Tue, 17 Sep 2002 23:40:19 +0200

Dear all, 

I found this discussion about concatenating parameters from a while back.
Little is said however about concatenating distributions. For example, I
asume that I can simply add medians of delay samples for adjacent
independently measured links. And the percentiles. Is this correct? The
mail below speaks of one-way delay "averages" being added over various
domains where average signifies "mean", but mean "can't" be calculated
(officially anyway) since losses aren't acounted for. 

Thanks,
Henrik.


At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>This is probably outside of scope of IPPM WG activities (and in the
>realm of a statistics), but: Everything hinges on the assumption of
>independent distribution of the delay variables for different domains.
>On one hand, since the next domain doesn't explicitly know about
>treatment in the previous one you could say that the independence
>assumption should be true.  On the other hand, if there exist global
>congestion oscillation phenomena (and why wouldn't they?) the
>assumption would be incorrect.
>
>Further, you do not specify your metrics.  Averages, for example,
>would be much easier to analyze in this way than medians.
>
>Victor Reijs <victor.reijs@surfnet.nl> writes:
>
>> . OWD. I assume, I can just add figures in case of concatenation of
>> domains.
>
>Sum is correct for averages regardless of independence.
>
>> . IPDV. This is a difficult one. I would tend to say one can not just
>> added the figures. I once heard a convolution is needed here. What are
>> your ideas?
>
>Sum is correct for variances provided that there is independence.
>
>> . IP Packet Loss.
>
>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>Accidentally, for small values of p_i the first order approximation of
>this quantity happens to be \Sigma p_i.
>
>> . IP Loss patterns.
>
>No numeric parameter.
>
>> . IP packet reordering:
>
>No defined metric and no defined model.
>
>> The above was for the millisec range, perhaps other ideas are needed
>> in microsec range.
>
>Scale doesn't matter.
>
>-- 
>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>
>"You wake me up early in the morning to tell me I am right?  Please
>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm
>


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From ippm-admin@advanced.org  Tue Sep 17 21:24:35 2002
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Subject: RE: [ippm] concatenation of QoS parameters
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My apologies for restating the obvious, if already stated .. typical traces
of loss and jitter are clearly non-stationary.

Jitter often appears to have a roughly constant "background" level with
superimposed short term delay variations (100mS to several seconds) due to
transient congestion on LAN and access links.

Network packet loss is due to transient congestion, route changes, link
failures and similar events.  Contrary to popular belief, bursts are often
long and sparse - e.g. several seconds of 20% loss - rather than the short
bursts of consecutive loss often described.  For multimedia applications
this is a critical distinction as long bursts of 20-30% loss can be more
objectionable than short dense loss periods.

If you assume that both loss and jitter have some fairly constant background
rate/ level with transient events then it would seem to be necessary to
separately combine the background and transient parameters.

e.g. for packet loss:

(i) compute gap/background loss probability using independence assumption

(ii) compute burst probability, assuming that the probability of bursts
occurring on network segments is independent, and combine burst
density/length stats.

Alan Clark




-----Original Message-----
From: ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]On Behalf
Of H.E.Holland
Sent: Tuesday, September 17, 2002 5:40 PM
To: stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: Re: [ippm] concatenation of QoS parameters


Dear all,

I found this discussion about concatenating parameters from a while back.
Little is said however about concatenating distributions. For example, I
asume that I can simply add medians of delay samples for adjacent
independently measured links. And the percentiles. Is this correct? The
mail below speaks of one-way delay "averages" being added over various
domains where average signifies "mean", but mean "can't" be calculated
(officially anyway) since losses aren't acounted for.

Thanks,
Henrik.


At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>This is probably outside of scope of IPPM WG activities (and in the
>realm of a statistics), but: Everything hinges on the assumption of
>independent distribution of the delay variables for different domains.
>On one hand, since the next domain doesn't explicitly know about
>treatment in the previous one you could say that the independence
>assumption should be true.  On the other hand, if there exist global
>congestion oscillation phenomena (and why wouldn't they?) the
>assumption would be incorrect.
>
>Further, you do not specify your metrics.  Averages, for example,
>would be much easier to analyze in this way than medians.
>
>Victor Reijs <victor.reijs@surfnet.nl> writes:
>
>> . OWD. I assume, I can just add figures in case of concatenation of
>> domains.
>
>Sum is correct for averages regardless of independence.
>
>> . IPDV. This is a difficult one. I would tend to say one can not just
>> added the figures. I once heard a convolution is needed here. What are
>> your ideas?
>
>Sum is correct for variances provided that there is independence.
>
>> . IP Packet Loss.
>
>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>Accidentally, for small values of p_i the first order approximation of
>this quantity happens to be \Sigma p_i.
>
>> . IP Loss patterns.
>
>No numeric parameter.
>
>> . IP packet reordering:
>
>No defined metric and no defined model.
>
>> The above was for the millisec range, perhaps other ideas are needed
>> in microsec range.
>
>Scale doesn't matter.
>
>--
>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>
>"You wake me up early in the morning to tell me I am right?  Please
>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm
>


_______________________________________________
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From: =?us-ascii?Q?Kave_Salamatian?= <salamat@rp.lip6.fr>
To: "Alan Clark" <alan@telchemy.com>,
        "H.E.Holland" <h.e.holland@student.utwente.nl>,
        "stanislav shalunov" <shalunov@internet2.edu>,
        <victor.reijs@surfnet.nl>
Cc: "IPPM Working Group" <ippm@advanced.org>
Subject: RE: [ippm] concatenation of QoS parameters
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I agree with Alan about the structure of losses. Losses can be described by
period of high loss probability followed by period of low loss probability.
This is explained in "Hidden Markov Modeling for network communication
channels, M.R Salamatian, S. Vaton, SIGMETRICS 2001, Cambridge,
Massachusett." (can be downloaded from www-rp.lip6.fr).

For delay we have a similar description. That is under writing.

However I don't agree with Alan about Non stationnarity at all scales.
Globally speaking, stationarity cannot be proven of disproven when you work
with empirical data. Stationarity is only a property of the model that you
decide to use and that is best suited to your application. In fact
stationarity is a bet about the fact that what you have observed into your
observation window will be reproduced (with same statistical parameters) out
of the observation window.

A single observation may be described as well by a stationnary model as  a
non stationnary. If one go for a stationnary model he may have to manage
Long Range dependences that will be necessary to explain mean level
variation. If he go for non stationarity he need to track the change of the
underlying process, but he may use short memory model with memory scale at
the level of his tracking agility. Which one is better depend on the
application !

Meaning that loss and jitter are not non-stationnary by essence, but they
may be subjectively stationnary or not.

Kave Salamatian

-----Message d'origine-----
De : ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]De la part
de Alan Clark
Envoye : mercredi 18 septembre 2002 03:21
A : H.E.Holland; stanislav shalunov; victor.reijs@surfnet.nl
Cc : IPPM Working Group
Objet : RE: [ippm] concatenation of QoS parameters



My apologies for restating the obvious, if already stated .. typical traces
of loss and jitter are clearly non-stationary.

Jitter often appears to have a roughly constant "background" level with
superimposed short term delay variations (100mS to several seconds) due to
transient congestion on LAN and access links.

Network packet loss is due to transient congestion, route changes, link
failures and similar events.  Contrary to popular belief, bursts are often
long and sparse - e.g. several seconds of 20% loss - rather than the short
bursts of consecutive loss often described.  For multimedia applications
this is a critical distinction as long bursts of 20-30% loss can be more
objectionable than short dense loss periods.

If you assume that both loss and jitter have some fairly constant background
rate/ level with transient events then it would seem to be necessary to
separately combine the background and transient parameters.

e.g. for packet loss:

(i) compute gap/background loss probability using independence assumption

(ii) compute burst probability, assuming that the probability of bursts
occurring on network segments is independent, and combine burst
density/length stats.

Alan Clark




-----Original Message-----
From: ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]On Behalf
Of H.E.Holland
Sent: Tuesday, September 17, 2002 5:40 PM
To: stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: Re: [ippm] concatenation of QoS parameters


Dear all,

I found this discussion about concatenating parameters from a while back.
Little is said however about concatenating distributions. For example, I
asume that I can simply add medians of delay samples for adjacent
independently measured links. And the percentiles. Is this correct? The
mail below speaks of one-way delay "averages" being added over various
domains where average signifies "mean", but mean "can't" be calculated
(officially anyway) since losses aren't acounted for.

Thanks,
Henrik.


At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>This is probably outside of scope of IPPM WG activities (and in the
>realm of a statistics), but: Everything hinges on the assumption of
>independent distribution of the delay variables for different domains.
>On one hand, since the next domain doesn't explicitly know about
>treatment in the previous one you could say that the independence
>assumption should be true.  On the other hand, if there exist global
>congestion oscillation phenomena (and why wouldn't they?) the
>assumption would be incorrect.
>
>Further, you do not specify your metrics.  Averages, for example,
>would be much easier to analyze in this way than medians.
>
>Victor Reijs <victor.reijs@surfnet.nl> writes:
>
>> . OWD. I assume, I can just add figures in case of concatenation of
>> domains.
>
>Sum is correct for averages regardless of independence.
>
>> . IPDV. This is a difficult one. I would tend to say one can not just
>> added the figures. I once heard a convolution is needed here. What are
>> your ideas?
>
>Sum is correct for variances provided that there is independence.
>
>> . IP Packet Loss.
>
>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>Accidentally, for small values of p_i the first order approximation of
>this quantity happens to be \Sigma p_i.
>
>> . IP Loss patterns.
>
>No numeric parameter.
>
>> . IP packet reordering:
>
>No defined metric and no defined model.
>
>> The above was for the millisec range, perhaps other ideas are needed
>> in microsec range.
>
>Scale doesn't matter.
>
>--
>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>
>"You wake me up early in the morning to tell me I am right?  Please
>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm
>


_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm



_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm

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From ippm-admin@advanced.org  Wed Sep 18 07:04:30 2002
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To: "Kave Salamatian" <salamat@rp.lip6.fr>,
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Subject: RE: [ippm] concatenation of QoS parameters
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Kave

I had some difficulty finding the paper you reference on the lip6 web site -
please verify it's location.  My IPtel 2001 paper describes the use of a 4
state Markov Model for describing burst packet loss distribution and may be
of interest to you

 http://www.iptel.org/2001/pg/final_program/21.pdf

Whilst I have to agree with your philosophical observation concerning
stationarity I think you are agreeing that traces do show transient packet
loss and short term delay changes. The main subject of the posting was to
address the issue of how you would combine QoS parameters from two network
segments - it would be intersting to hear your views on this

Regards

Alan



-----Original Message-----
From: Kave Salamatian [mailto:salamat@rp.lip6.fr]
Sent: Wednesday, September 18, 2002 1:41 AM
To: Alan Clark; H.E.Holland; stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: RE: [ippm] concatenation of QoS parameters



I agree with Alan about the structure of losses. Losses can be described by
period of high loss probability followed by period of low loss probability.
This is explained in "Hidden Markov Modeling for network communication
channels, M.R Salamatian, S. Vaton, SIGMETRICS 2001, Cambridge,
Massachusett." (can be downloaded from www-rp.lip6.fr).

For delay we have a similar description. That is under writing.

However I don't agree with Alan about Non stationnarity at all scales.
Globally speaking, stationarity cannot be proven of disproven when you work
with empirical data. Stationarity is only a property of the model that you
decide to use and that is best suited to your application. In fact
stationarity is a bet about the fact that what you have observed into your
observation window will be reproduced (with same statistical parameters) out
of the observation window.

A single observation may be described as well by a stationnary model as  a
non stationnary. If one go for a stationnary model he may have to manage
Long Range dependences that will be necessary to explain mean level
variation. If he go for non stationarity he need to track the change of the
underlying process, but he may use short memory model with memory scale at
the level of his tracking agility. Which one is better depend on the
application !

Meaning that loss and jitter are not non-stationnary by essence, but they
may be subjectively stationnary or not.

Kave Salamatian

-----Message d'origine-----
De : ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]De la part
de Alan Clark
Envoye : mercredi 18 septembre 2002 03:21
A : H.E.Holland; stanislav shalunov; victor.reijs@surfnet.nl
Cc : IPPM Working Group
Objet : RE: [ippm] concatenation of QoS parameters



My apologies for restating the obvious, if already stated .. typical traces
of loss and jitter are clearly non-stationary.

Jitter often appears to have a roughly constant "background" level with
superimposed short term delay variations (100mS to several seconds) due to
transient congestion on LAN and access links.

Network packet loss is due to transient congestion, route changes, link
failures and similar events.  Contrary to popular belief, bursts are often
long and sparse - e.g. several seconds of 20% loss - rather than the short
bursts of consecutive loss often described.  For multimedia applications
this is a critical distinction as long bursts of 20-30% loss can be more
objectionable than short dense loss periods.

If you assume that both loss and jitter have some fairly constant background
rate/ level with transient events then it would seem to be necessary to
separately combine the background and transient parameters.

e.g. for packet loss:

(i) compute gap/background loss probability using independence assumption

(ii) compute burst probability, assuming that the probability of bursts
occurring on network segments is independent, and combine burst
density/length stats.

Alan Clark




-----Original Message-----
From: ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]On Behalf
Of H.E.Holland
Sent: Tuesday, September 17, 2002 5:40 PM
To: stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: Re: [ippm] concatenation of QoS parameters


Dear all,

I found this discussion about concatenating parameters from a while back.
Little is said however about concatenating distributions. For example, I
asume that I can simply add medians of delay samples for adjacent
independently measured links. And the percentiles. Is this correct? The
mail below speaks of one-way delay "averages" being added over various
domains where average signifies "mean", but mean "can't" be calculated
(officially anyway) since losses aren't acounted for.

Thanks,
Henrik.


At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>This is probably outside of scope of IPPM WG activities (and in the
>realm of a statistics), but: Everything hinges on the assumption of
>independent distribution of the delay variables for different domains.
>On one hand, since the next domain doesn't explicitly know about
>treatment in the previous one you could say that the independence
>assumption should be true.  On the other hand, if there exist global
>congestion oscillation phenomena (and why wouldn't they?) the
>assumption would be incorrect.
>
>Further, you do not specify your metrics.  Averages, for example,
>would be much easier to analyze in this way than medians.
>
>Victor Reijs <victor.reijs@surfnet.nl> writes:
>
>> . OWD. I assume, I can just add figures in case of concatenation of
>> domains.
>
>Sum is correct for averages regardless of independence.
>
>> . IPDV. This is a difficult one. I would tend to say one can not just
>> added the figures. I once heard a convolution is needed here. What are
>> your ideas?
>
>Sum is correct for variances provided that there is independence.
>
>> . IP Packet Loss.
>
>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>Accidentally, for small values of p_i the first order approximation of
>this quantity happens to be \Sigma p_i.
>
>> . IP Loss patterns.
>
>No numeric parameter.
>
>> . IP packet reordering:
>
>No defined metric and no defined model.
>
>> The above was for the millisec range, perhaps other ideas are needed
>> in microsec range.
>
>Scale doesn't matter.
>
>--
>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>
>"You wake me up early in the morning to tell me I am right?  Please
>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm
>


_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm



_______________________________________________
ippm mailing list
ippm@advanced.org
http://mailhost.advanced.org/mailman/listinfo/ippm




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From: =?us-ascii?Q?Kave_Salamatian?= <salamat@rp.lip6.fr>
To: "Alan Clark" <alan@telchemy.com>,
        "H.E.Holland" <h.e.holland@student.utwente.nl>,
        "stanislav shalunov" <shalunov@internet2.edu>,
        <victor.reijs@surfnet.nl>
Cc: "IPPM Working Group" <ippm@advanced.org>
Subject: RE: [ippm] concatenation of QoS parameters
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Sorry for the incomplete url. The complete one is www-rp.lip6.fr/~salamat.

For the question about how combining QoS parameter from two network segments
it is indeed difficult. If you can suppose that the network segment are
independent you may combine the Qos measure. But if they are dependent you
may not combine them easily as the moement of the combinaison of two
dependent Random variable is not straightforwardly a simple combinaison of
the individual moments. Meaning that in a general scenario (without
independence hypothesis) you may not be able to easily combine QoS parameter
from two networks.

Bests

kv

-----Message d'origine-----
De : Alan Clark [mailto:alan@telchemy.com]
Envoye : mercredi 18 septembre 2002 12:59
A : Kave Salamatian; H.E.Holland; stanislav shalunov;
victor.reijs@surfnet.nl
Cc : IPPM Working Group
Objet : RE: [ippm] concatenation of QoS parameters



Kave

I had some difficulty finding the paper you reference on the lip6 web site -
please verify it's location.  My IPtel 2001 paper describes the use of a 4
state Markov Model for describing burst packet loss distribution and may be
of interest to you

 http://www.iptel.org/2001/pg/final_program/21.pdf

Whilst I have to agree with your philosophical observation concerning
stationarity I think you are agreeing that traces do show transient packet
loss and short term delay changes. The main subject of the posting was to
address the issue of how you would combine QoS parameters from two network
segments - it would be intersting to hear your views on this

Regards

Alan



-----Original Message-----
From: Kave Salamatian [mailto:salamat@rp.lip6.fr]
Sent: Wednesday, September 18, 2002 1:41 AM
To: Alan Clark; H.E.Holland; stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: RE: [ippm] concatenation of QoS parameters



I agree with Alan about the structure of losses. Losses can be described by
period of high loss probability followed by period of low loss probability.
This is explained in "Hidden Markov Modeling for network communication
channels, M.R Salamatian, S. Vaton, SIGMETRICS 2001, Cambridge,
Massachusett." (can be downloaded from www-rp.lip6.fr).

For delay we have a similar description. That is under writing.

However I don't agree with Alan about Non stationnarity at all scales.
Globally speaking, stationarity cannot be proven of disproven when you work
with empirical data. Stationarity is only a property of the model that you
decide to use and that is best suited to your application. In fact
stationarity is a bet about the fact that what you have observed into your
observation window will be reproduced (with same statistical parameters) out
of the observation window.

A single observation may be described as well by a stationnary model as  a
non stationnary. If one go for a stationnary model he may have to manage
Long Range dependences that will be necessary to explain mean level
variation. If he go for non stationarity he need to track the change of the
underlying process, but he may use short memory model with memory scale at
the level of his tracking agility. Which one is better depend on the
application !

Meaning that loss and jitter are not non-stationnary by essence, but they
may be subjectively stationnary or not.

Kave Salamatian

-----Message d'origine-----
De : ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]De la part
de Alan Clark
Envoye : mercredi 18 septembre 2002 03:21
A : H.E.Holland; stanislav shalunov; victor.reijs@surfnet.nl
Cc : IPPM Working Group
Objet : RE: [ippm] concatenation of QoS parameters



My apologies for restating the obvious, if already stated .. typical traces
of loss and jitter are clearly non-stationary.

Jitter often appears to have a roughly constant "background" level with
superimposed short term delay variations (100mS to several seconds) due to
transient congestion on LAN and access links.

Network packet loss is due to transient congestion, route changes, link
failures and similar events.  Contrary to popular belief, bursts are often
long and sparse - e.g. several seconds of 20% loss - rather than the short
bursts of consecutive loss often described.  For multimedia applications
this is a critical distinction as long bursts of 20-30% loss can be more
objectionable than short dense loss periods.

If you assume that both loss and jitter have some fairly constant background
rate/ level with transient events then it would seem to be necessary to
separately combine the background and transient parameters.

e.g. for packet loss:

(i) compute gap/background loss probability using independence assumption

(ii) compute burst probability, assuming that the probability of bursts
occurring on network segments is independent, and combine burst
density/length stats.

Alan Clark




-----Original Message-----
From: ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]On Behalf
Of H.E.Holland
Sent: Tuesday, September 17, 2002 5:40 PM
To: stanislav shalunov; victor.reijs@surfnet.nl
Cc: IPPM Working Group
Subject: Re: [ippm] concatenation of QoS parameters


Dear all,

I found this discussion about concatenating parameters from a while back.
Little is said however about concatenating distributions. For example, I
asume that I can simply add medians of delay samples for adjacent
independently measured links. And the percentiles. Is this correct? The
mail below speaks of one-way delay "averages" being added over various
domains where average signifies "mean", but mean "can't" be calculated
(officially anyway) since losses aren't acounted for.

Thanks,
Henrik.


At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>This is probably outside of scope of IPPM WG activities (and in the
>realm of a statistics), but: Everything hinges on the assumption of
>independent distribution of the delay variables for different domains.
>On one hand, since the next domain doesn't explicitly know about
>treatment in the previous one you could say that the independence
>assumption should be true.  On the other hand, if there exist global
>congestion oscillation phenomena (and why wouldn't they?) the
>assumption would be incorrect.
>
>Further, you do not specify your metrics.  Averages, for example,
>would be much easier to analyze in this way than medians.
>
>Victor Reijs <victor.reijs@surfnet.nl> writes:
>
>> . OWD. I assume, I can just add figures in case of concatenation of
>> domains.
>
>Sum is correct for averages regardless of independence.
>
>> . IPDV. This is a difficult one. I would tend to say one can not just
>> added the figures. I once heard a convolution is needed here. What are
>> your ideas?
>
>Sum is correct for variances provided that there is independence.
>
>> . IP Packet Loss.
>
>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>Accidentally, for small values of p_i the first order approximation of
>this quantity happens to be \Sigma p_i.
>
>> . IP Loss patterns.
>
>No numeric parameter.
>
>> . IP packet reordering:
>
>No defined metric and no defined model.
>
>> The above was for the millisec range, perhaps other ideas are needed
>> in microsec range.
>
>Scale doesn't matter.
>
>--
>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>
>"You wake me up early in the morning to tell me I am right?  Please
>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>_______________________________________________
>ippm mailing list
>ippm@advanced.org
>http://mailhost.advanced.org/mailman/listinfo/ippm
>


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Subject: Re: [ippm] concatenation of QoS parameters 
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Date: Wed, 18 Sep 2002 08:05:46 -0400


Once again: means may always be combined (added or in linear combinations) 
whether or not the underlying random variables are independent. As Stanislav 
pointed out, variances must be of independent random variables to be able 
simply to add them. While Stanislav's statement is correct on this point, it 
does not apply to either IPDV or delay in successive segments in a real 
network. While you can build a model based on this assumption, your model will 
at best only approximate the real situation (and you must then work on 
bounds). I would NOT recommend trying to write an SLA based on higher moments 
or distributions of combinations of delay or IPDV.

Regards, Phil Chimento
-- 
Phil Chimento             Ericsson IPI
Phone: 240-314-3597	  7301 Calhoun Place
chimento@torrentnet.com   Rockville, Md. 20855
-----------------------------------------------------

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Subject: Re: [ippm] concatenation of QoS parameters 
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Date: Wed, 18 Sep 2002 09:11:16 -0400

Hi Kave: 

> I agree with Philipp about the first moment additivity property. But once
> again a mean without any indication of dispersion (at least variance) is
> meaningless ! a 10% loss rate mean can be one packet each 10 packets or
> 10000 consecutive packets each 100000 packets. Even if the delay in two
> consecutive segment is the sum of the two delay but the jitter (which is the
> variance of the delay) is not the sum of the two jitter.
>

The problem of giving means without variances is well known. About 15 years 
ago Ward Whitt wrote an article (I think that it was published in Management 
Science) titled "The horrors of the waiting room..." that should be required 
reading.
I certainly was not suggesting that you ignore variability. 

> I don't mean that we have to integrate higher order moment and or
> distribution directly into SLA. Nevertheless SLA should define something
> that is statistically correct.
> 
I think the last sentance is a statement everyone can agree with :)

> I think that the good way of defining an SLA will be to define it as :
> 1- a mean

"Easy". 

> 2- an upper and lower bound
> 3- A probability of crossing the bound

This is where you run into trouble. How are you going to determine 
these ? How can you guarantee that the bounds will not be so wide as to be 
useless ? I can give you bounds on delay right now: 0 picoseconds and 5 years. 
Probability to cross the lower bound is 0. Probability to cross the upper 
bound is less than 10^(-100).
My guess is that to come up with tight bounds is on the same order of 
difficulty as doing the convolutions of the pdfs. After you come up with the 
bounds, they may be easier to compute, but...

> 4- a scale of time for calculating the mean and the previous probability
> 
> All the difficulties with other moments and pdf and so will be hidden into
> the relationship between the bounds and the probability of crossing.
> 
> Regards
> 
> Kv
> 
> 

Regards, Phil 
-- 
Phil Chimento             Ericsson IPI
Phone: 240-314-3597	  7301 Calhoun Place
chimento@torrentnet.com   Rockville, Md. 20855
-----------------------------------------------------

> -----Message d'origine-----
> De : Philip Chimento [mailto:chimento@torrentnet.com]
> Envoye : mercredi 18 septembre 2002 14:06
> A : Kave Salamatian
> Cc : Alan Clark; H.E.Holland; stanislav shalunov;
> victor.reijs@surfnet.nl; IPPM Working Group
> Objet : Re: [ippm] concatenation of QoS parameters
> 
> 
> 
> Once again: means may always be combined (added or in linear combinations)
> whether or not the underlying random variables are independent. As Stanislav
> pointed out, variances must be of independent random variables to be able
> simply to add them. While Stanislav's statement is correct on this point, it
> does not apply to either IPDV or delay in successive segments in a real
> network. While you can build a model based on this assumption, your model
> will
> at best only approximate the real situation (and you must then work on
> bounds). I would NOT recommend trying to write an SLA based on higher
> moments
> or distributions of combinations of delay or IPDV.
> 
> Regards, Phil Chimento
> --
> Phil Chimento             Ericsson IPI
> Phone: 240-314-3597	  7301 Calhoun Place
> chimento@torrentnet.com   Rockville, Md. 20855
> -----------------------------------------------------
> 


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From ippm-admin@advanced.org  Sat Sep 21 09:37:09 2002
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To: "H.E.Holland" <h.e.holland@student.utwente.nl>
Cc: IPPM Working Group <ippm@advanced.org>
Subject: Re: [ippm] concatenation of QoS parameters
References: <3C6B8CED.72D8475D@surfnet.nl> <3C6B8CED.72D8475D@surfnet.nl> <200209172142.g8HLgJQ19312@netlx010.civ.utwente.nl>
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Date: 21 Sep 2002 09:30:39 -0400

"H.E.Holland" <h.e.holland@student.utwente.nl> writes:

> Little is said however about concatenating distributions. For example, I
> asume that I can simply add medians of delay samples for adjacent
> independently measured links. And the percentiles.

You *cannot* add medians, etc.  For that, you'll have to do a
convolution (which requires both complete distributions, not just one
or five percentiles).

-- 
Stanislav Shalunov		http://www.internet2.edu/~shalunov/

Sex is the mathematics urge sublimated.                 -- M. C. Reed.
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From ippm-admin@advanced.org  Sat Sep 21 17:41:43 2002
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Date: Sat, 21 Sep 2002 23:38:46 +0200

Hi Matthew,

So I guess one of the hardest parts is acquiring of "fitting" a complete
distrubution function. How would you do this? Furthermore, maybe a Laplace
transformation to make calculations easier?

Henrik.

At 09:58 18-9-02 -0400, you wrote:
>Hi,
>
>its actually quite tricky. The simplest case is where you know the 
>distribution functions (or can fit simple distribution functions) and 
>then you integrate to do the convolution.
>
>Mathematically, if you are taking the sum X = X_1 + X_2 (where X_1 and 
>X_2 are non-negative), the distribution function of X is
>	F(T) = p(X<=T)
>	     = int_0^T P(X_1 <= S) P(X_2 <= T-S)  dS
>	     = int_0^T F_1(S) F_2(T-S) dS
>where F_1 and F_2 are the distribution functions of X_1 and X_2.
>
>There are neat ways to compute these for some distributions by taking 
>the characteristic functions of the distributions. There are also 
>special cases like the Gaussian distribution where the distribution is 
>completely characterized by the mean and variance so adding independent 
>RVs is easy.
>
>I assume you can do the integral above numerically for empirical 
>distributions, but I don't have any experience doing that, and don't 
>know what the numerical issues are, but you had better have fairly good 
>data before you try something like that.
>
>Matt
>
>H.E.Holland wrote:
>> Matt,
>> 
>> Can you tell me from a practical point of view how I do this? With the
>> normal discrete time convolution sum?
>> 
>> Henrik.
>> 
>> At 21:28 17-9-02 -0400, you wrote:
>> 
>>>No, you can't add medians or other percentiles. You have to convolve the 
>>>distributions.
>>>
>>>Matt
>>>
>>>H.E.Holland wrote:
>>>
>>>
>>>>Dear all, 
>>>>
>>>>I found this discussion about concatenating parameters from a while back.
>>>>Little is said however about concatenating distributions. For example, I
>>>>asume that I can simply add medians of delay samples for adjacent
>>>>independently measured links. And the percentiles. Is this correct? The
>>>>mail below speaks of one-way delay "averages" being added over various
>>>>domains where average signifies "mean", but mean "can't" be calculated
>>>>(officially anyway) since losses aren't acounted for. 
>>>>
>>>>Thanks,
>>>>Henrik.
>>>>
>>>>
>>>>At 12:03 14-2-02 -0500, stanislav shalunov wrote:
>>>> 
>>>>
>>>>
>>>>>This is probably outside of scope of IPPM WG activities (and in the
>>>>>realm of a statistics), but: Everything hinges on the assumption of
>>>>>independent distribution of the delay variables for different domains.
>>>>>On one hand, since the next domain doesn't explicitly know about
>>>>>treatment in the previous one you could say that the independence
>>>>>assumption should be true.  On the other hand, if there exist global
>>>>>congestion oscillation phenomena (and why wouldn't they?) the
>>>>>assumption would be incorrect.
>>>>>
>>>>>Further, you do not specify your metrics.  Averages, for example,
>>>>>would be much easier to analyze in this way than medians.
>>>>>
>>>>>Victor Reijs <victor.reijs@surfnet.nl> writes:
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>. OWD. I assume, I can just add figures in case of concatenation of
>>>>>>domains.
>>>>>>     
>>>>>>
>>>>>
>>>>>Sum is correct for averages regardless of independence.
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>. IPDV. This is a difficult one. I would tend to say one can not just
>>>>>>added the figures. I once heard a convolution is needed here. What are
>>>>>>your ideas?
>>>>>>     
>>>>>>
>>>>>
>>>>>Sum is correct for variances provided that there is independence.
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>. IP Packet Loss.
>>>>>>     
>>>>>>
>>>>>
>>>>>Loss probability, assuming independence, is, of course, 1-\Pi(1-p_i).
>>>>>Accidentally, for small values of p_i the first order approximation of
>>>>>this quantity happens to be \Sigma p_i.
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>. IP Loss patterns.
>>>>>>     
>>>>>>
>>>>>
>>>>>No numeric parameter.
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>. IP packet reordering:
>>>>>>     
>>>>>>
>>>>>
>>>>>No defined metric and no defined model.
>>>>>
>>>>>   
>>>>>
>>>>>
>>>>>>The above was for the millisec range, perhaps other ideas are needed
>>>>>>in microsec range.
>>>>>>     
>>>>>>
>>>>>
>>>>>Scale doesn't matter.
>>>>>
>>>>>-- 
>>>>>Stanislav Shalunov		http://www.internet2.edu/~shalunov/
>>>>>
>>>>>"You wake me up early in the morning to tell me I am right?  Please
>>>>>wait until I am wrong."	-- John von Neumann, on being phoned at 10 a.m.
>>>>>_______________________________________________
>>>>>ippm mailing list
>>>>>ippm@advanced.org
>>>>>http://mailhost.advanced.org/mailman/listinfo/ippm
>>>>>
>>>>>   
>>>>>
>>>>
>>>>
>>>>_______________________________________________
>>>>ippm mailing list
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>>>>http://mailhost.advanced.org/mailman/listinfo/ippm
>>>> 
>>>>
>>>
>> 
>> 
>



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To: "H.E.Holland" <h.e.holland@student.utwente.nl>
cc: Matthew Roughan <roughan@research.att.com>, ippm@advanced.org
Subject: Re: [ippm] concatenation of QoS parameters 
In-Reply-To: Message from "H.E.Holland" <h.e.holland@student.utwente.nl> 
   of "Sat, 21 Sep 2002 23:38:46 +0200." <200209212140.g8LLeoO22302@netlx009.civ.utwente.nl> 
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Date: Tue, 24 Sep 2002 08:56:04 -0400

Henrik: 
Fitting distributions is equally tricky. There are many different 
statistical tests to use for fitting distributions, but in general 
it is an art of approximation. Further if you have purely empirical 
distributions, Laplace transforms won't help. If you fit the data to
a known distribution (approximately) and convolve the known distribution
then you will get an approximate answer. But, remember, if the distributions 
are not independent (and they are NOT in this case) you have a more 
complicated convolution integral than the one that Matt gave you. In that
case, you wind up with an integral that looks like (for Z = X+Y, the sum of 
only two random variables)
f(z) = int_0^infinity{f(s, z-s) ds} to get the density (see, Trivedi, 
Probability & Statistics with Reliability, Queueing and Computer Science 
Applications for the derivation). Note that the bivariate function (f(x,y)) 
does not resolve into a product of the marginals because they are not 
independent. Basically, if you don't fit a distribution function, you have to 
compute this numerically.
Regards, Phil Chimento
-- 
Phil Chimento             Ericsson IPI
Phone: 240-314-3597	  7301 Calhoun Place
chimento@torrentnet.com   Rockville, Md. 20855
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From ippm-admin@advanced.org  Tue Sep 24 10:47:25 2002
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Subject: Re: [ippm] concatenation of QoS parameters
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All good points. Particularly as delay distributions can easily be 
multimodal, and fitting such distributions can be challenging.

Matt

Philip Chimento wrote:
> Henrik: 
> Fitting distributions is equally tricky. There are many different 
> statistical tests to use for fitting distributions, but in general 
> it is an art of approximation. Further if you have purely empirical 
> distributions, Laplace transforms won't help. If you fit the data to
> a known distribution (approximately) and convolve the known distribution
> then you will get an approximate answer. But, remember, if the distributions 
> are not independent (and they are NOT in this case) you have a more 
> complicated convolution integral than the one that Matt gave you. In that
> case, you wind up with an integral that looks like (for Z = X+Y, the sum of 
> only two random variables)
> f(z) = int_0^infinity{f(s, z-s) ds} to get the density (see, Trivedi, 
> Probability & Statistics with Reliability, Queueing and Computer Science 
> Applications for the derivation). Note that the bivariate function (f(x,y)) 
> does not resolve into a product of the marginals because they are not 
> independent. Basically, if you don't fit a distribution function, you have to 
> compute this numerically.
> Regards, Phil Chimento

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From ippm-admin@advanced.org  Sat Sep 28 22:31:52 2002
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From: =?gb2312?q?Shen=20Jing?= <jshen_cad@yahoo.com.cn>
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Subject: [ippm] Mathematical analysis of e2e lable switching path
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Date: Sun, 29 Sep 2002 10:28:01 +0800 (CST)
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Hi there,

I've some question on e2e performance analysis of
label switching path. 

There has been many research on e2e performance
analysis for IP routing. Nearly all of them take the
model of "network of queue", and under assumpiton of
Possion Arrival, exponential flow size etc. To my
limited knowledge, this is not to the state of
Internet which experiences LRD. On the other hand,
different router archtecture must have different
effect on transmission performance. 
As MPLS proceeds to be the primary backbone
technology, I think there must be something new
introduced into the e2e performance in internet. 

So, I want to know, whether there is some work with
methematical modeling of LSP networks? and, are there
anyone would do me a favor to recommend some refrence
book, web page, research paper or the like ?

Thank you very much.

Best regards
  

=====
Jing Shen

State Key Lab of CAD&CG
ZheJiang University(YuQuan)
HangZhou, ZheJiang Province 310027
P.R.China

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From ippm-admin@advanced.org  Mon Sep 30 12:10:36 2002
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To: h.e.holland@student.utwente.nl
Cc: ippm@advanced.org
Subject: Re: [ippm] metric requirements
References: <200209071215.g87CFLf30328@netlx009.civ.utwente.nl>
From: stanislav shalunov <shalunov@internet2.edu>
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Date: 30 Sep 2002 12:10:04 -0400

"H.E.Holland" <h.e.holland@student.utwente.nl> writes:

> Where might I find quantitative metric requirements for services
> such as VoIP? E.g. what are recommended values for one-way delay and
> packet loss for a VoIP service?

While others pointed out the ITU documents for one-way delay, I don't
think we answered the `loss' part of the question.

There can possibly be no answer, because codecs have various degrees
of tolerance and redundancy.  Relevant gedanken Experiment: Imagine
that your favorite codec were to send all its packets in triplicate;
that would change the threshold of tolerance for loss, wouldn't it?

-- 
Stanislav Shalunov		http://www.internet2.edu/~shalunov/

"I didn't attend the funeral, but I sent a nice letter saying that I
approved of it."				-- Mark Twain
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From ippm-admin@advanced.org  Mon Sep 30 15:20:29 2002
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Subject: RE: [ippm] metric requirements
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Fortunately many codecs behave in a consistent way and don't generate triple
the amount of traffic in order to improve resilience!!

Work done within ITU SG12, ETSI TIPHON and a few other groups has
characterized the behavior of a wide range of codecs under packet loss
conditions up to 20-30%.  It can however be a little tricky deducing if
packet loss concealment is in use from the info available in RTP headers!

One key point when considering the effects of packet loss on VoIP is the
distribution of packet loss.  This does not behave, as many would suggest,
as a simple burst channel exhibiting only consecutive loss.  Bursts of loss
are often sparse (e.g. 20%) and extend for periods of seconds - largely
caused by periods of congestion.  You may also see the extreme case of
bursts of consecutive loss extending for hundreds of packets, due to link
failures.
The effect of this is that call quality will be fine for some period of
time, and then experience several seconds of badly degraded quality before
improving again.

Alan Clark


-----Original Message-----
From: ippm-admin@advanced.org [mailto:ippm-admin@advanced.org]On Behalf
Of stanislav shalunov
Sent: Monday, September 30, 2002 12:10 PM
To: h.e.holland@student.utwente.nl
Cc: ippm@advanced.org
Subject: Re: [ippm] metric requirements


"H.E.Holland" <h.e.holland@student.utwente.nl> writes:

> Where might I find quantitative metric requirements for services
> such as VoIP? E.g. what are recommended values for one-way delay and
> packet loss for a VoIP service?

While others pointed out the ITU documents for one-way delay, I don't
think we answered the `loss' part of the question.

There can possibly be no answer, because codecs have various degrees
of tolerance and redundancy.  Relevant gedanken Experiment: Imagine
that your favorite codec were to send all its packets in triplicate;
that would change the threshold of tolerance for loss, wouldn't it?

--
Stanislav Shalunov		http://www.internet2.edu/~shalunov/

"I didn't attend the funeral, but I sent a nice letter saying that I
approved of it."				-- Mark Twain
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