One document matched: draft-ietf-ippm-ipdv-10.txt-46686.txt
Differences from 10.txt-09.txt
Network Working Group C. Demichelis
INTERNET-DRAFT CSELT
Expiration Date: January 2003 P. Chimento
Ericsson IPI
August 2002
IP Packet Delay Variation Metric for IPPM
<draft-ietf-ippm-ipdv-10.txt>
Table of Contents
1 Status of this Memo................................................ 2
2 Abstract........................................................... 3
3 Introduction....................................................... 3
3.1 Terminology................................................... 4
3.2 Definition.................................................... 4
3.3 Motivation.................................................... 4
3.4 General Issues Regarding Time................................. 5
4 A singleton definition of a One-way ipdv metric.................... 6
4.1 Metric name................................................... 6
4.2 Metric parameters............................................. 6
4.3 Metric unit................................................... 7
4.4 Definition.................................................... 7
4.5 Discussion.................................................... 8
4.6 Methodologies.................................................10
4.7 Errors and Uncertainties......................................11
4.7.1 Errors/Uncertainties related to Clocks..................11
4.7.2 Errors/uncertainties related to Wire-time vs Host-time..12
5 Definitions for Samples of One-way ipdv............................13
5.1 Metric name...................................................13
5.2 Parameters....................................................13
5.3 Metric Units..................................................14
5.4 Definition....................................................14
5.5 Discussion....................................................14
5.6 Methodology...................................................15
5.7 Errors and uncertainties......................................15
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6 Statistics for One-way-ipdv........................................15
6.1 Lost Packets and ipdv statistics..............................15
6.2 Distribution of One-way-ipdv values...........................16
6.3 Type-P-One-way-ipdv-percentile................................17
6.4 Type-P-One-way-ipdv-inverse-percentile........................17
6.5 Type-P-One-way-ipdv-jitter....................................17
6.6 Type-P-One-way-peak-to-peak-ipdv..............................17
7 Discussion of clock synchronization................................18
7.1 Effects of synchronization errors.............................18
7.2 Estimating the skew of unsynchronized clocks..................19
8 Security Considerations............................................19
8.1 Denial of service.............................................19
8.2 Privacy/Confidentiality.......................................19
8.3 Integrity.....................................................20
9 Acknowledgments....................................................20
10 References........................................................20
10.1 Normative References........................................20
10.2 Informational References....................................20
11 Authors' Addresses................................................21
1. Status of this Memo
This document is an Internet-Draft and is in full conformance with
all provisions of Section 10 of RFC 2026.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF), its areas, and its working groups. Note that
other groups may also distribute working documents as Internet-
Drafts.
Internet-Drafts are draft documents valid for a maximum of six months
and may be updated, replaced, or obsoleted by other documents at any
time. It is inappropriate to use Internet-Drafts as reference mate-
rial or to cite them other than as "work in progress."
The list of current Internet-Drafts can be accessed at
http://www.ietf.org/ietf/1id-abstracts.txt
The list of Internet-Draft shadow directories can be accessed at
http://www.ietf.org/shadow.html
This memo provides information for the Internet community. This memo
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does not specify an Internet standard of any kind. Distribution of
this memo is unlimited.
2. Abstract
This memo refers to a metric for variation in delay of packets across
Internet paths. The metric is based on the difference in the One-Way-
Delay of selected packets. This difference in delay is called "IP
Packet Delay variation."
The metric is valid for measurements between two hosts both in the
case that they have synchronized clocks and in the case that they are
not synchronized. We discuss both in this draft.
3. Introduction
This memo defines a metric for the variation in delay of packets that
flow from one host to another through an IP path. It is based on "A
One-Way-Delay metric for IPPM", RFC 2679 [2] and part of the text in
this memo is taken directly from that document; the reader is assumed
to be familiar with that document.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY" and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [3]. Although
RFC 2119 was written with protocols in mind, the key words are used
in this document for similar reasons. They are used to ensure the
results of measurements from two different implementations are compa-
rable and to note instances where an implementation could perturb the
network.
The structure of the memo is as follows:
+ A 'singleton' analytic metric, called Type-P-One-way-ipdv, will be
introduced to define a single instance of an ipdv measurement.
+ Using this singleton metric, as 'sample', called Type-P-one-way-
ipdv-Poisson-stream, will be introduced to make it possible to
compute the statistics of sequences of ipdv measurements.
+ Using this sample, several 'statistics' of the sample will be
defined and discussed.
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3.1. Terminology
The variation in packet delay is sometimes called "jitter". This
term, however, causes confusion because it is used in different ways
by different groups of people.
"Jitter" commonly has two meanings: The first meaning is the varia-
tion of a signal with respect to some clock signal, where the
arrival time of the signal is expected to coincide with the arrival
of the clock signal. This meaning is used with reference to syn-
chronous signals and might be used to measure the quality of circuit
emulation, for example. There is also a metric called "wander" used
in this context.
The second meaning has to do with the variation of a metric (e.g.
delay) with respect to some reference metric (e.g. average delay or
minimum delay). This meaning is frequently used by computer scien-
tists and frequently (but not always) refers to variation in delay.
In this document we will avoid the term "jitter" whenever possible
and stick to delay variation which is more precise.
3.2. Definition
A definition of the IP Packet Delay Variation (ipdv) can be given for
packets inside a stream of packets.
The IP Packet Delay Variation (ipdv) of a pair of packets within a
stream of packets is defined for a selected pair of packets in the
stream going from measurement point MP1 to measurement point MP2.
The ipdv is the difference between the one-way-delay of the selected
packets.
3.3. Motivation
One important use of delay variation is the sizing of play-out
buffers for applications requiring the regular delivery of packets
(for example, voice or video play-out). What is normally important in
this case is the maximum delay variation, which is used to size play-
out buffers for such applications [7]. Other uses of a delay varia-
tion metric are, for example, to determine the dynamics of queues
within a network (or router) where the changes in delay variation can
be linked to changes in the queue length process at a given link or a
combination of links.
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In addition, this type of metric is particularly robust with respect
to differences and variations of the clocks of the two hosts. This
allows the use of the metric even if the two hosts that support the
measurement points are not synchronized. In the latter case indica-
tions of reciprocal skew of the clocks can be derived from the mea-
surement and corrections are possible. The related precision is often
comparable with the one that can be achieved with synchronized
clocks, being of the same order of magnitude of synchronization
errors. This will be discussed below.
The scope of this document is to provide a way to measure the ipdv
delivered on a path. Our goal is to provide a metric which can be
parameterized so that it can be used for various purposes. Any report
of the metric MUST include all the parameters associated with it so
that the conditions and meaning of the metric can be determined
exactly. Since the metric does not represent a value judgment (i.e.
define "good" and "bad"), we specifically do not specify particular
values of the metrics that IP networks must meet.
The flexibility of the metric can be viewed as a disadvantage but
there are some arguments for making it flexible. First, though there
are some uses of ipdv mentioned above, to some degree the uses of
ipdv are still a research topic and some room should be left for
experimentation. Secondly, there are different views in the community
of what precisely the definition should be (e.g. [8],[9],[10]). The
idea here is to parameterize the definition, rather than write a dif-
ferent draft for each proposed definition. As long as all the parame-
ters are reported, it will be clear what is meant by a particular use
of ipdv. All the remarks in the draft hold, no matter which parame-
ters are chosen.
3.4. General Issues Regarding Time
Everything contained in Section 2.2. of [2] applies also in this
case.
To summarize: As in [1] we define "skew" as the first derivative of
the offset of a clock with respect to "true time" and define "drift"
as the second derivative of the offset of a clock with respect to
"true time".
From there, we can construct "relative skew" and "relative drift" for
two clocks C1 and C2 with respect to one another. These are natural
extensions of the basic framework definitions of these quantities:
+ Relative offset = difference in clock times
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+ Relative skew = first derivative of the difference in clock times
+ Relative drift = second derivative of the difference in clock
times
NOTE: The drift of a clock, as it is above defined over a long period
must have an average value that tends to zero while the period
becomes large since the frequency of the clock has a finite (and
small) range. In order to underline the order of magnitude of this
effect,it is considered that the maximum range of drift for commer-
cial crystals is about 50 part per million (ppm). Since it is mainly
connected with variations in operating temperature (from 0 to 70
degrees Celsius), it is expected that a host will have a nearly con-
stant temperature during its operation period, and variations in tem-
perature, even if quick, could be less than one Celsius per second,
and range in the order of few degrees. The total range of the drift
is usually related to variations from 0 to 70 Celsius. These are
important points for evaluation of precision of ipdv measurements, as
will be seen below.
4. A singleton definition of a One-way ipdv metric
The purpose of the singleton metric is to define what a single
instance of an ipdv measurement is. Note that it can only be statis-
tically significant in combination with other instances. It is not
intended to be meaningful as a singleton, in the sense of being able
to draw inferences from it.
This definition makes use of the corresponding definition of type-P-
One-Way-Delay metric [2]. This section makes use of those parts of
the One-Way-Delay Draft that directly apply to the One-Way-ipdv met-
ric, or makes direct references to that Draft.
4.1. Metric name
Type-P-One-way-ipdv
4.2. Metric parameters
+ Src, the IP address of a host
+ Dst, the IP address of a host
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+ T1, a time
+ T2, a time
+ L, a packet length in bits. The packets of a Type P packet stream
from which the singleton ipdv metric is taken MUST all be of the
same length.
+ F, a selection function defining unambiguously the two packets
from the stream selected for the metric.
+ I1,I2, times which mark that beginning and ending of the interval
in which the packet stream from which the singleton measurement is
taken occurs.
+ P, the specification of the packet type, over and above the source
and destination addresses
4.3. Metric unit
The value of a Type-P-One-way-ipdv is either a real number of seconds
(positive, zero or negative) or an undefined number of seconds.
4.4. Definition
We are given a Type P packet stream and I1 and I2 such that the first
Type P packet to pass measurement point MP1 after I1 is given index 0
and the last Type P packet to pass measurement point MP1 before I2 is
given the highest index number.
Type-P-One-way-ipdv is defined for two packets from Src to Dst
selected by the selection function F, as the difference between the
value of the type-P-One-way- delay from Src to Dst at T2 and the
value of the type-P-One-Way-Delay from Src to Dst at T1. T1 is the
wire-time at which Scr sent the first bit of the first packet, and T2
is the wire-time at which Src sent the first bit of the second
packet. This metric is derived from the One-Way-Delay metric.
Therefore, for a real number ddT "The type-P-one-way-ipdv from Src to
Dst at T1, T2 is ddT" means that Src sent two packets, the first at
wire-time T1 (first bit), and the second at wire-time T2 (first bit)
and the packets were received by Dst at wire-time dT1+T1 (last bit of
the first packet), and at wire-time dT2+T2 (last bit of the second
packet), and that dT2-dT1=ddT.
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"The type-P-one-way-ipdv from Src to Dst at T1,T2 is undefined" means
that Src sent the first bit of a packet at T1 and the first bit of a
second packet at T2 and that Dst did not receive one or both packets.
Figure 1 illustrates this definition. Suppose that packets P(i) and
P(k) are selected.
I1 P(i) P(j) P(k) I2
MP1 |----------------------------------------------------------------|
|\ |\ |\
| \ | \ | \
| \ | \ | \
| \ | \ | \
|dTi \ |dTj \ |dTk \
|<--->v |<--->v |<--->v
MP2 |----------------------------------------------------------------|
I1 P(i) P(j) P(k) I2
Figure 1: Illustration of the definition
Then ddT = dTk - dTi as defined above.
4.5. Discussion
This metric definition depends on a stream of Type-P-One-Way-Delay
packets that have been measured. In general this can be a stream of
two or more packets, delimited by the interval endpoints I1 and I2.
There must be a stream of at least two packets in order for a single-
ton ipdv measurement to take place. The purpose of the selection
function is to specify exactly which two packets from the stream are
to be used for the singleton measurement. Note that the selection
function may involve observing the one-way-delay of all the Type P
packets of the stream in the specified interval. Examples of a selec-
tion function are:
+ Consecutive Type-P packets within the specified interval
+ Type-P packets with specified indices within the specified inter-
val
+ Type-P packets with the min and max one-way-delays within the
specified interval
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+ Type-P packets with specified indices from the set of all defined
(i.e. non-infinite) one-way-delays Type-P packets within the spec-
ified interval.
The following practical issues have to be considered:
+ Being a differential measurement, this metric is less sensitive to
clock synchronization problems. This issue will be more carefully
examined in section 7 of this memo. It is pointed out that, if the
relative clock conditions change in time, the accuracy of the mea-
surement will depend on the time interval I2-I1 and the magnitude
of possible errors will be discussed below.
+ A given methodology will have to include a way to determine
whether a delay value is infinite or whether it is merely very
large (and the packet is yet to arrive at Dst). As noted by Mah-
davi and Paxson, simple upper bounds (such as the 255 seconds the-
oretical upper bound on the lifetimes of IP packets [Postel: RFC
791]) could be used, but good engineering, including an under-
standing of packet lifetimes, will be needed in practice. Comment:
Note that, for many applications of these metrics, the harm in
treating a large delay as infinite might be zero or very small. A
TCP data packet, for example, that arrives only after several mul-
tiples of the RTT may as well have been lost.
+ As with other 'type-P' metrics, the value of the metric may depend
on such properties of the packet as protocol,(UDP or TCP) port
number, size, and arrangement for special treatment (as with IP
precedence or with RSVP).
+ ddT is derived from the start of the first bit out from a packet
sent out by Src to the reception of the last bit received by Dst.
Delay is correlated to the size of the packet. For this reason,
the packet size is a parameter of the measurement and must be
reported along with the measurement.
+ If the packet is duplicated along the path (or paths!) so that
multiple non-corrupt copies arrive at the destination, then the
packet is counted as received, and the first copy to arrive deter-
mines the packet's One-Way-Delay.
+ If the packet is fragmented and if, for whatever reason, reassem-
bly does not occur, then the packet will be deemed lost.
In this draft it is assumed that the Type-P packet stream is gener-
ated according to the Poisson sampling methodology described in [1].
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The reason for Poisson sampling is that it ensures an unbiased and
uniformly distributed sampling of times between I1 and I2. However,
alternate sampling methodologies are possible. For example, continu-
ous sampling of a constant bit rate stream (i.e. periodic packet
transmission) is a possibility. However, in this case, one must be
sure to avoid any "aliasing" effects that may occur with periodic
samples.
4.6. Methodologies
As with other Type-P-* metrics, the detailed methodology will depend
on the Type-P (e.g., protocol number, UDP/TCP port number, size,
precedence).
The measurement methodology described in this section assumes the
measurement and determination of ipdv in real-time as part of an
active measurement. Note that this can equally well be done a poste-
riori, i.e. after the one-way-delay measurement is completed.
Generally, for a given Type-P, the methodology would proceed as fol-
lows: Note that this methodology is based on synchronized clocks. The
need for synchronized clocks for Src and Dst will be discussed later.
+ Start after time I1. At the Src host, select Src and Dst IP
addresses, and form test packets of Type-P with these addresses
according to a given technique (e.g. the Poisson sampling tech-
nique). Any 'padding' portion of the packet needed only to make
the test packet a given size should be filled with randomized bits
to avoid a situation in which the measured delay is lower than it
would otherwise be due to compression techniques along the path.
+ At the Dst host, arrange to receive the packets.
+ At the Src host, place a time stamp in the Type-P packet, and send
it towards Dst.
+ If the packet arrives within a reasonable period of time, take a
time stamp as soon as possible upon the receipt of the packet. By
subtracting the two time stamps, an estimate of One-Way-Delay can
be computed.
+ If the packet meets the selection function criterion for the first
packet, record this first delay value. Otherwise, continue gener-
ating the Type-P packet stream as above until the criterion is met
or I2, whichever comes first.
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+ At the Src host, packets continue to be generated according to the
given methodology. The Src host places a time stamp in the Type-P
packet, and send it towards Dst.
+ If the packet arrives within a reasonable period of time, take a
time stamp as soon as possible upon the receipt of the packet. By
subtracting the two time stamps, an estimate of One-Way-Delay can
be computed.
+ If the packet meets the criterion for the second packet, then by
subtracting the first value of One-Way-Delay from the second value
the ipdv value of the pair of packets is obtained. Otherwise,
packets continue to be generated until the criterion for the sec-
ond packet is fulfilled or I2, whichever comes first.
+ If one or both packets fail to arrive within a reasonable period
of time, the ipdv is taken to be undefined.
4.7. Errors and Uncertainties
In the singleton metric of ipdv, factors that affect the measurement
are the same as those affecting the One-Way-Delay measurement, even
if, in this case, the influence is different.
The Framework document [1] provides general guidance on this point,
but we note here the following specifics related to delay metrics:
+ Errors/uncertainties due to uncertainties in the clocks of the Src
and Dst hosts.
+ Errors/uncertainties due to the difference between 'wire time' and
'host time'.
Each of these errors is discussed in more detail in the following
paragraphs.
4.7.1. Errors/Uncertainties related to Clocks
If, as a first approximation, the error that affects the first mea-
surement of One-Way-Delay were the same as the one affecting the sec-
ond measurement, they will cancel each other when calculating ipdv.
The residual error related to clocks is the difference of the errors
that are supposed to change from time T1, at which the first measure-
ment is performed, to time T2 at which the second measurement is per-
formed. Synchronization, skew, accuracy and resolution are here con-
sidered with the following notes:
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+ Errors in synchronization between source and destination clocks
contribute to errors in both of the delay measurements required
for calculating ipdv.
+ The effect of drift and skew errors on ipdv measurements can be
quantified as follows: Suppose that the skew and drift functions
are known. Assume first that the skew function is linear in time.
Clock offset if then also a function of time and the error evolves
as e(t) = K*t + O, where K is a constant and O is the offset at
time 0. In this case, the error added to the subtraction two dif-
ferent time stamps (t2 > t1) is e(t2)-e(t1) = K*(t2 - t1) which
will be added to the time difference (t2 - t1). If the drift can-
not be ignored, but we assume that the drift is a linear function
of time, then the skew is given by s(t) = M*(t**2) + N*t + S0,
where M and N are constants and S0 is the skew at time 0. The
error added by the variable skew/drift process in this case
becomes e(t) = O + s(t) and the error added to the difference in
time stamps is e(t2)-e(t1) = N*(t2-t1) + M*{(t2-t1)**2}.
It is the claim here (see remarks in section 3.3) that the effects
of skew are rather small over the time scales that we are dis-
cussing here, since temperature variations in a system tend to be
slow relative to packet inter-transmission times and the range of
drift is so small.
+ As far as accuracy and resolution are concerned, what is noted in
the one-way-delay document [2] in section 3.7.1, applies also in
this case, with the further consideration, about resolution, that
in this case the uncertainty introduced is two times the one of a
single delay measurement. Errors introduced by these effects are
often larger than the ones introduced by the drift.
4.7.2. Errors/uncertainties related to Wire-time vs Host-time
The content of sec. 3.7.2 of [2] applies also in this case, with the
following further consideration: The difference between Host-time and
Wire-time can be in general decomposed into two components, of which
one is constant and the other is variable. Only the variable compo-
nents will produce measurement errors, while the constant one will be
canceled while calculating ipdv.
However, in most cases, the fixed and variable components are not
known exactly.
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5. Definitions for Samples of One-way ipdv
The goal of the sample definition is to make it possible to compute
the statistics of sequences of ipdv measurements. The singleton defi-
nition is applied to a stream of test packets generated according to
a pseudo-random Poisson process with average arrival rate lambda. If
necessary, the interval in which the stream is generated can be
divided into sub-intervals on which the singleton definition of ipdv
can be applied. The result of this is a sequence of ipdv measurements
that can be analyzed by various statistical procedures.
Starting from the definition of the singleton metric of one-way ipdv,
we define a sample of such singletons. In the following, the two
packets needed for a singleton measurement will be called a "pair".
5.1. Metric name
Type-P-One-way-ipdv-Poisson-stream
5.2. Parameters
+ Src, the IP address of a host
+ Dst, the IP address of a host
+ T0, a time
+ Tf, a time
+ lambda, a rate in reciprocal seconds
+ L, a packet length in bits. The packets of a Type P packet stream
from which the sample ipdv metric is taken MUST all be of the same
length.
+ F, a selection function defining unambiguously the packets from
the stream selected for the metric.
+ I(i),I(i+1), i >=0, pairs of times which mark the beginning and
ending of the intervals in which the packet stream from which the
measurement is taken occurs. I(0) >= T0 and assuming that n is the
largest index, I(n) <= Tf.
+ P, the specification of the packet type, over and above the source
and destination addresses
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5.3. Metric Units:
A sequence of triples whose elements are:
+ T1, T2,times
+ dT a real number or an undefined number of seconds
5.4. Definition
A pseudo-random Poisson process is defined such that it begins at or
before T0, with average arrival rate lambda, and ends at or after Tf.
Those time values T(i) greater than or equal to T0 and less than or
equal to Tf are then selected for packet generation times.
Each packet falling within one of the sub-intervals I(i), I(i+1) is
tested to determine whether it meets the criteria of the selection
function F as the first or second of a packet pair needed to compute
ipdv. The sub-intervals can be defined such that a sufficient number
of singleton samples for valid statistical estimates can be obtained.
The triples defined above consist of the transmission times of the
first and second packets of each singleton included in the sample,
and the ipdv in seconds.
5.5. Discussion
Note first that, since a pseudo-random number sequence is employed,
the sequence of times, and hence the value of the sample, is not
fully specified. Pseudo-random number generators of good quality will
be needed to achieve the desired qualities.
The sample is defined in terms of a Poisson process both to avoid the
effects of self-synchronization and also capture a sample that is
statistically as unbiased as possible. There is, of course, no claim
that real Internet traffic arrives according to a Poisson arrival
process.
The sample metric can best be explained with a couple of examples:
For the first example, assume that the selection function specifies
the "non-infinite" max and min one-way-delays over each sub-interval.
We can define contiguous sub-intervals of fixed specified length and
produce a sequence each of whose elements is the triple <transmission
time of the max delay packet, transmission time of the min delay
packet, D(max)-D(min)> which is collected for each sub-interval. A
second example is the selection function that specifies packets whose
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indices (sequence numbers) are just the integers below a certain
bound. In this case, the sub-intervals are defined by the transmis-
sion times of the generated packets and the sequence produced is just
<T(i), T(i+1), D(i+1)-D(i)> where D(i) denotes the one-way delay of
the ith packet of a stream.
This definition of the sample metric encompasses both the definition
proposed in [9] and the one proposed in [10].
5.6. Methodology
Since packets can be lost or duplicated or can arrive in a different
order than the order sent, in order to recognize the pairs of test
packets, they should be marked with a sequence number. For duplicated
packets only the first received copy should be considered.
Otherwise, the methodology is the same as for the singleton measure-
ment, with the exception that the singleton measurement is repeated a
number of times.
5.7. Errors and uncertainties
The same considerations apply that have been made about the singleton
metric. Additional error can be introduced by the pseudo-random Pois-
son process as discussed in [2]. Further considerations will be
given in section 7.
6. Statistics for One-way-ipdv
Some statistics are suggested which can provide useful information in
analyzing the behavior of the packets flowing from Src to Dst. The
statistics are assumed to be computed from an ipdv sample of reason-
able size.
The purpose is not to define every possible statistic for ipdv, but
ones which have been proposed or used.
6.1. Lost Packets and ipdv statistics
The treatment of lost packets as having "infinite" or "undefined"
delay complicates the derivation of statistics for ipdv. Specifi-
cally, when packets in the measurement sequence are lost, simple
statistics such as sample mean cannot be computed. One possible
approach to handling this problem is to reduce the event space by
conditioning. That is, we consider conditional statistics; namely we
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estimate the mean ipdv (or other derivative statistic) conditioned on
the event that selected packet pairs arrive at the destination
(within the given timeout). While this itself is not without problems
(what happens, for example, when every other packet is lost), it
offers a way to make some (valid) statements about ipdv, at the same
time avoiding events with undefined outcomes.
In practical terms, what this means is throwing out the samples where
one or both of the selected packets has an undefined delay. The sam-
ple space is reduced (conditioned) and we can compute the usual
statistics, understanding that formally they are conditional.
6.2. Distribution of One-way-ipdv values
The one-way-ipdv values are limited by virtue of the fact that there
are upper and lower bounds on the one-way-delay values. Specifically,
one-way-delay is upper bounded by the value chosen as the maximum
beyond which a packet is counted as lost. It is lower bounded by
propagation, transmission and nodal transit delays assuming that
there are no queues or variable nodal delays in the path. Denote the
upper bound of one-way-delay by U and the lower bound by L and we see
that one-way-ipdv can only take on values in the (open) interval (L-
U, U-L).
In any finite interval, the one-way-delay can vary monotonically
(non-increasing or non-decreasing) or of course it can vary in both
directions in the interval, within the limits of the half-open inter-
val [L,U). Accordingly, within that interval, the one-way-ipdv values
can be positive, negative, or a mixture (including 0).
Since the range of values is limited, the one-way-ipdv cannot
increase or decrease indefinitely. Suppose, for example, that the
ipdv has a positive 'run' (i.e. a long sequence of positive values).
At some point in this 'run', the positive values must approach 0 (or
become negative) if the one-way-delay remains finite. Otherwise, the
one-way-delay bounds would be violated. If such a run were to con-
tinue infinitely long, the sample mean (assuming no packets are lost)
would approach 0 (because the one-way-ipdv values must approach 0).
Note, however, that this says nothing about the shape of the distri-
bution, or whether it is symmetric. Note further that over signifi-
cant intervals, depending on the width of the interval [L,U), that
the sample mean one-way-ipdv could be positive, negative or 0.
There are basically two ways to represent the distribution of values
of an ipdv sample: an empirical pdf and an empirical cdf. The empiri-
cal pdf is most often represented as a histogram where the range of
values of an ipdv sample is divided into bins of a given length and
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each bin contains the proportion of values falling between the two
limits of the bin. (Sometimes instead the number of values falling
between the two limits is used). The empirical cdf is simply the pro-
portion of ipdv sample values less than a given value, for a sequence
of values selected from the range of ipdv values.
6.3. Type-P-One-way-ipdv-percentile
Given a Type-P One-Way-ipdv sample and a percent X between 0% and
100%, the Xth percentile of all ipdv values in the sample. The 50th
percentile is the median.
6.4. Type-P-One-way-ipdv-inverse-percentile
Given a Type-P-One-way-ipdv sample and a given value Y, the percent
of ipdv sample values less than or equal to Y.
6.5. Type-P-One-way-ipdv-jitter
Although the use of the term "jitter" is deprecated, we use it here
following the authors in [8]. In that document, the selection func-
tion specifies that consecutive packets of the Type-P stream are to
be selected for the packet pairs used in ipdv computation. They then
take the absolute value of the ipdv values in the sample. The authors
in [8] use the resulting sample to compare the behavior of two dif-
ferent scheduling algorithms.
An alternate, but related, way of computing an estimate of jitter is
given in RFC 1889 [11]. The selection function there is implicitly
consecutive packet pairs, and the "jitter estimate" is computed by
taking the absolute values of the ipdv sequence (as defined in this
draft) and applying an exponential filter with parameter 1/16 to gen-
erate the estimate (i.e. j_new = 15/16* j_old + 1/16*j_new).
6.6. Type-P-One-way-peak-to-peak-ipdv
In this case, the selection function used in collecting the Type-P-
One-Way-ipdv sample specifies that the first packet of each pair to
be the packet with the maximum Type-P-One-Way-Delay in each sub-
interval and the second packet of each pair to be the packet with the
minimum Type-P-One-Way-Delay in each sub-interval. The resulting
sequence of values is the peak-to-peak delay variation in each sub-
interval of the measurement interval.
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7. Discussion of clock synchronization
This section gives some considerations about the need for having syn-
chronized clocks at the source and destination, although in the case
of unsynchronized clocks, data from the measurements themselves can
be used to correct error. These considerations are given as a basis
for discussion and they require further investigation.
7.1. Effects of synchronization errors
Clock errors can be generated by two processes: the relative drift
and the relative skew of two given clocks. We should note that drift
is physically limited and so the total relative skew of two clocks
can vary between an upper and a lower bound.
Suppose then that we have a measurement between two systems such that
the clocks in the source and destination systems have at time 0 a
relative skew of s(0) and after a measurement interval T have skew
s(T). We assume that the two clocks have an initial offset of O (that
is letter O).
Now suppose that the packets travel from source to destination in
constant time, in which case the ipdv is zero and the difference in
the time stamps of the two clocks is actually just the relative off-
set of the clocks. Suppose further that at the beginning of the mea-
surement interval the ipdv value is calculated from a packet pair and
at the end of the measurement interval another ipdv value is calcu-
lated from another packet pair. Assume that the time interval covered
by the first measurement is t1 and that covered by the second mea-
surement is t2. Then
ipdv1 = s(0)*t1 + t1*(s(T)-s(0))/T
ipdv2 = s(T)*t2 + t2*(s(T)-s(0))/T
assuming that the change is skew is linear in time. In most practical
cases, it is claimed that the drift will be close to zero in which
case the second (correction) term in the above equations disappears.
Note that in the above discussion, other errors, including the dif-
ferences between host time and wire time, and externally-caused clock
discontinuities (e.g. clock corrections) were ignored. Under these
assumptions the maximum clock errors will be due to the maximum rela-
tive skew acting on the largest interval between packets.
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7.2. Estimating the skew of unsynchronized clocks
If the skew is linear (that is, if s(t) = S * t for constant S), the
error in ipdv values will depend on the time between the packets used
in calculating the value. If ti is the time between the packet pair,
then let Ti denote the sample mean time between packets and the aver-
age skew is s(Ti) = S * Ti. In the event that the delays are con-
stant, the skew parameter S can be estimated from the estimate Ti of
the time between packets and the sample mean ipdv value. Under these
assumptions, the ipdv values can be corrected by subtracting the
estimated S * ti.
We observe that the displacement due to the skew does not change the
shape of the distribution, and, for example the Standard Deviation
remains the same. What introduces a distortion is the effect of the
drift, also when the mean value of this effect is zero at the end of
the measurement. The value of this distortion is limited to the
effect of the total skew variation on the emission interval.
8. Security Considerations
The one-way-ipdv metric has the same security properties as the one-
way-delay metric [2], and thus they inherit the security considera-
tions of that document. The reader should consult [2] for a more
detailed treatment of security considerations. Nevertheless, there
are a few things to highlight.
8.1. Denial of service
It is still possible that there could be an attempt at a denial of
service attack by sending many measurement packets into the network.
In general, legitimate measurements must have their parameters care-
fully selected in order to avoid interfering with normal traffic.
8.2. Privacy/Confidentiality
The packets contain no user information, and so privacy of user data
is not a concern.
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8.3. Integrity
There could also be attempts to disrupt measurements by diverting
packets or corrupting them. To ensure that test packets are valid and
have not be altered during transit, packet authentication and
integrity checks may be used.
9. Acknowledgments
Thanks to Merike Kaeo, Al Morton and Henk Uiterwaal for catching mis-
takes and for clarifying re-wordings for this final draft.
A previous major revision of the draft resulted from e-mail discus-
sions with and suggestions from Mike Pierce, Ruediger Geib, Glenn
Grotefeld, and Al Morton. For previous revisions of this document,
discussions with Ruediger Geib, Matt Zekauskas and Andy Scherer were
very helpful.
10. References
10.1. Normative References
[1] V.Paxon, G.Almes, J.Mahdavi, M.Mathis - "Framework for IP Perfor-
mance Metrics", RFC 2330 Feb. 1998
[2] G.Almes, S.Kalidindi - "A One-Way-Delay Metric for IPPM", RFC
2679, September 1999
[3] Bradner, Scott - "Key words for use in RFCs to indicate require-
ment levels", RFC 2119, March 1997
10.2. Informational References
[4] ITU-T Recommendation Y.1540 (formerly numbered I.380) "Internet
Protocol Data Communication Service - IP Packet Transfer and Avail-
ability Performance Parameters", February 1999
[5] Demichelis, Carlo - "Packet Delay Variation Comparison between
ITU-T and IETF Draft Definitions" November 2000 (in the IPPM mail
archives)
[6] ITU-T Recommendation I.356 "B-ISDN ATM Layer Cell Transfer Per-
formance"
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[7] S. Keshav - "An Engineering Approach to Computer Networking",
Addison-Wesley 1997, ISBN 0-201-63442-2
[8] V. Jacobson, K. Nichols, K. Poduri - "An expedited forwarding
PHB", RFC 2598, June 1999
[9] ITU-T Draft Recommendation Y.1541 - "Internet Protocol Communica-
tion Service - IP Performance and Availability Objectives and Alloca-
tions", April 2000
[10] Demichelis, Carlo - "Improvement of the Instantaneous Packet
Delay Variation (IPDV) Concept and Applications", World Telecommuni-
cations Congress 2000, 7-12 May 2000
[11] H. Schulzrinne, S. Casner, R. Frederick, V. Jacobson - "RTP: A
transport protocol for real-time applications", RFC 1889, January
1996
11. Authors' Addresses
Carlo Demichelis <carlo.demichelis@cselt.it>
CSELT - Centro Studi E Laboratori Telecomunicazioni S.p.A
Via G. Reiss Romoli 274
10148 - TORINO
Italy
Phone +39 11 228 5057
Fax. +39 11 228 5069
Philip Chimento <chimento@torrentnet.com>
Ericsson IPI
7301 Calhoun Place
Rockville, Maryland
20855
USA
Phone +1-240-314-3597
Expiration date: January 2003
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