Network Working Group C. Demichelis
INTERNET-DRAFT CSELT
Expiration Date: August 2001 P. Chimento
Ericsson IPI
February 2001
IP Packet Delay Variation Metric for IPPM
1. Status of this Memo
This document is an Internet-Draft and is in full conformance with
all provisions of Section 10 of RFC2026.
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
material 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
does not specify an Internet standard of any kind. Distribution of
this memo is unlimited.
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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 is based on "A One-Way-Delay metric for IPPM", RFC 2679
[2].
Part of the text in this memo is taken directly from that document.
This memo defines a metric for variation in delay of packets that
flow from one host to another one through an IP path. This quantity
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
variation 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. 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).
The first meaning is used with reference to synchronous 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 is frequently used by computer scientists 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.
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3.1. 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 is
the difference between the one-way-delay of the first of the selected
packets and the one-way-delay of the second of the selected packets.
3.2. Motivation
One important use of delay variation is the sizing of playout buffers
for applications requiring the regular delivery of packets (for
example, voice or video playout). What is normally important in this
case is the maximum delay variation, which is used to size playout
buffers for such applications [6]. Other uses of a delay variation
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.
In addition, this type of metric is particularly robust with respect
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
indications of reciprocal skew of the clocks can be derived from the
measurement 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. 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. [7],[8],[9]). The
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idea here is to parameterize the definition, rather than write a
different draft for each proposed definition. As long as all the
parameters 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 parameters are chosen.
3.3. General Issues Regarding Time
Everything contained in the 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
+ 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
commercial 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
constant temperature during its operation period, and variations in
temperature, 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.
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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
statistically 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
metric, 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
+ 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
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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 MP2 after I1 is given index 0
and the last Type P packet to pass measurement point MP2 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.
T2 denote the wire times of the packets sent from Src to Dst.
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.
"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.
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
singleton 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
selection function are:
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+ Consecutive Type-P packets within the specified interval
+ Type-P packets with specified indices within the specified
interval
+ Type-P packets with the min and max one-way-delays within the
specified interval
+ Type-P packets with specified indices from the set of all defined
(i.e. non-infinite) one-way-delays Type-P packets within the
specified 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
measurement 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
Mahdavi and Paxson, simple upper bounds (such as the 255 seconds
theoretical upper bound on the lifetimes of IP packets [Postel:
RFC 791]) could be used, but good engineering, including an
understanding 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 multiples 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).
+ 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
determines the packet's One-Way-Delay.
+ If the packet is fragmented and if, for whatever reason,
reassembly does not occur, then the packet will be deemed lost.
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It is assumed that the Type-P packet stream is generated according to
the Poisson sampling methodology described in [1].
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 asssumes the
measurement and determination of ipdv in real-time as part of an
active measurement. Note that this can equally well be done a
posteriori, i.e. after the one-way-delay measurement is completed.
Generally, for a given Type-P, the methodology would proceed as
follows:
+ The need of synchronized clocks for Src and Dst will be discussed
later. Here a methodology is supposed that is based on
synchronized clocks.
+ After time I1, start. 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
technique). 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 timestamp in the Type-P packet, and send
it towards Dst.
+ If the packet arrives within a reasonable period of time, take a
timestamp as soon as possible upon the receipt of the packet. By
subtracting the two timestamps, 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
generating the Type-P packet stream as above until the criterion
is met or I2, whichever comes first.
+ At the Src host, packets continue to be generated according to the
given methodology. The Src host places a timestamp in the Type-P
packet, and send it towards Dst.
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+ If the packet arrives within a reasonable period of time, take a
timestamp as soon as possible upon the receipt of the packet. By
subtracting the two timestamps, an estimate of One-Way-Delay can
be computed.
+ If the packet meets the criterion for the second packet for the
second packet, then by subtracting the second value of One-Way-
Delay from the first value the ipdv value of the pair of packets
is obtained. Otherwise, packets continue to be generated until
the criterion for the second 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
measurement of One-Way-Delay were the same as the one affecting the
second 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
measurement is performed, to time T2 at which the second measurement
is performed. Synchronization, skew, accuracy and resolution are
here considered with the following notes:
+ Errors in synchronization between source and destination clocks
contribute to errors in both of the delay measurements required
for calculating ipdv.
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+ 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
different 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
cannot 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
discussing 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
components 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
definition 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 specifiec length and
produce a sequence each of whose elements is the triple 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
transmission times of the generated packets and the sequence produced
is just 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 [8] and the one proposed in [9].
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
measurement, 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
Poisson 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
reasonable 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.
Specifically, 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;
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namely we 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
sample 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
interval [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
continue 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
distribution, or whether it is symmetric. Note further that over
significant 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
empirical pdf is most often represented as a histogram where the
range of values of an ipdv sample is divided into bins of a given
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length and 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 proportion 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 [7]. In that document, the selection
function 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 [7] use the resulting sample to compare the behavior of
two different scheduling algorithms.
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 of having
synchronized clocks at the source and destination. 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 timestamps of the two clocks is actually just the relative offset
of the clocks. Suppose further that at the beginning of the
measurement interval the ipdv value is calculated from a packet pair
and at the end of the measurement interval another ipdv value is
calculated from another packet pair. Assume that the time interval
covered by the first measurement is t1 and that covered by the second
measurement 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
differences 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
relative 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
average skew is s(Ti) = S * Ti. In the event that the delays are
constant, 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]. The packets contain no user information, and so
privacy of user data is not a concern. It is still possible that
there could be an attempt at a denial of service attack by sending
many measurement packets into the network; there could also be
attempts to disrupt measurements by diverting packets or corrupting
them.
In general, legitimate measurements must have their parameters
selected carefully in order to avoid interfering with normal traffic
in the network. Such measurements should also be authorized and
authenticated in some way so that attacks can be identified and
intercepted.
9. Acknowledgements
This major revision of the draft resulted from e-mail discussions
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.
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10. References
[1] V.Paxon, G.Almes, J.Mahdavi, M.Mathis - "Framework for IP
Performance Metrics", RFC 2330 Feb. 1998
[2] G.Almes, S.Kalidindi - "A One-Way-Delay Metric for IPPM", RFC
2679, September 1999
[3] ITU-T Recommendation Y.1540 (formerly numbered I.380)
"Internet Protocol Data Communication Service - IP Packet
Transfer and Availability Performance Parameters", February 1999
[4] Demichelis, Carlo - "Packet Delay Variation Comparison between
ITU-T and IETF Draft Definitions" November 2000 (in the IPPM
mail archives)
[5] ITU-T Recommendation I.356 "B-ISDN ATM Layer Cell Transfer
Performance"
[6] S. Keshav - "An Engineering Approach to Computer Networking",
Addison-Wesley 1997, ISBN 0-201-63442-2
[7] V. Jacobson, K. Nichols, K. Poduri - "An expedited forwarding
PHB", RFC 2598, June 1999
[8] ITU-T Draft Recommendation Y.1541 - "Internet Protocol
Communication Service - IP Performance and Availability
Objectives and Allocations", April 2000
[9] Demichelis, Carlo - "Improvement of the Instantaneous Packet
Delay Variation (IPDV) Concept and Applications", World
Telecommunications Congress 2000, 7-12 May 2000
11. Authors' Addresses
Carlo Demichelis
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
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Philip Chimento
Ericsson IPI
7301 Calhoun Place
Rockville, Maryland
20855
USA
Phone +1-240-314-3597
Expiration date: August 2001
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