Network Working Group                                 C.Demichelis CSELT

expires 16 January  May 1999

           Instantaneous Packet Delay Variation Metric for IPPM

1. Status of this Memo

 This document is an Internet Draft. Internet Drafts are working doc-
 uments of the Internet Engineering Task Force (IETF), its areas, and
 its working groups. Note that other groups may also distribute work-
 ing 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''.

 To learn the current status of any Internet Draft, please check the
 ``1id-abstracts.txt'' listing contained in the Internet Drafts shadow
 directories on (Africa), (Europe), (Pacific Rim), (US East Coast), or (US West Coast).

 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.

2. Abstract

 This memo refers to a metric for variation in delay of packets across
 Internet paths. The metric is based on statistics of the difference
 in One-way Delay One-Way-Delay of consecutive packets. This particular definition
 of variation is called "Instantaneous Packet Delay Variation (ipdv)".

 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. In the second case it allows an evaluation of the
 reciprocal skew. Measurements performed on both directions (Two-ways
 measurements) allow a better estimation of clock differences. The
 precision that can be obtained is evaluated.

 This memo is intended to have, as much as possible, the structure of
 the ippm draft on one-way delay metric.

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3. Introduction

This memo refers to takes as a reference the Draft-ietf "One-way-delay "One-Way-Delay metric for
IPPM" that
supposes as it is supposed to be known. Part of the text in this memo is
directly taken from that Draft.

This memo defines a metric for variation in delay of packets that flow
from one host to another one through an IP path. Since the metric is
related to a variation, different definitions are possible according
to what the variation is measured against.

NOTE: The terminology used in this Draft will be re-visited as soon as
a terminology document will be available.
So far the following is considered:
- The term Jitter is derived from the well known definition given for
  transmission of electrical pulses associated to a clock, and it seems
  to be able to describe variations with respect to an expected arrival
- Each entity adopted as a reference for variation measurements defines
  a specific metric. Each metric describes a specific aspect or effect
  of the behavior of the System Under Test (SUT).
- Among entities that can be adopted, as an example, it is possible to
  consider a reference delay for the path, a reference delay for the Src
  Dst pair, the Mean One-Way-Delay over a period of interest, the Delay
  variation that can be derived considering the difference between the
  actual and the expected arrival time, the difference between the
  delay of a packet and the last measured similar delay.

3.1. Definition

 A definition of the Instantaneous Packet Delay Variation (ipdv) can be
 given for a pair of packets or for a packet inside a stream of packets.

 For a pair of packets:
- The ipdv of a pair of IP packets, that are transmitted from the measu-
  rement point MP1 to the measurement point MP2, is the difference
  between the One-Way-Delay measured for the second packet and the One-
  Way-Delay measured for the first packet of the pair.

 For a stream of packets:
 - The Instantaneous Packet Delay Variation of an IP packet, inside a
  stream of packets, going from the measurement point MP1 to the measu-
  rement point MP2, is the difference of the One-Way Delay One-Way-Delay of that
  packet and the One-Way Delay One-Way-Delay of the preceding packet in the stream.

3.2. Motivation


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3.2. Motivation

 A number of services that can be supported by IP are sensitive to the
 regular delivery of packets and can be disturbed by instantaneous va-
 riations in delay, while they are not disturbed by slow variations,
 that can last a relatively long time. A specific metric for quick va-
 riations is therefore desirable. Metrics that can be derived from the
 analysis of statistics of ipdv can also be used used, for example, for
 buffer dimensioning, but this memo is not intended in that sense.
 The scope of this metric is to provide a way for measurement of the
 quality delivered by a path.

 In addition, this type of metric is particularly robust with respect
 differences and variations of the clocks of the two hosts. This allow
 the use of the metric even if the two hosts that support the measure-
 -ment points are not synchronized. In the latter case indications on
 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. clocks, being of
 the same order of magnitude of synchronization errors. This will
 be discussed below.

3.3. General Issues Regarding Time

 All what is contained in the paragraph 2.2. of the Draft ippm on one-
 way delay One-
 Way Delay metric (2.2. General Issues Regarding Time) applies also in
 this case.

 In addition, it is here considered that the relative reciprocal skew of the two
 clocks can be decomposed into two parts:
 * A fixed one, called in this context "skew", given, for example, by
 tolerances in physical dimension dimensions of crystals.

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 * A variable one, called in this context "drift", given, for example,
 by changes in temperature or other conditions of operation.
 Both of this components are part of the term "skew" as defined in the
 referenced Draft and in the Framework document.

 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 little)
 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

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 few degrees. The total range of the drift is usually related to varia-
 -tions from 0 to 70 Celsius. These are important points for evaluation
 of precision of ipdv measurements, as it will see below.

4. Structure of this memo

 The metric will be defined as applicable to a stream of packets that
 flow from a source host to a destination host (one-way ipdv). The ini
 -tial ini-
 tial assumption is that source and destination hosts have synchronized
 The definition of a singleton of one-way ipdv metric is first consi-
 -dered, and then a definition of samples for ipdv will be given.

 Then the case of application to not synchronized hosts will be dis-
 cussed, and the precision will be compared with the one of the previous

 A bidirectional ipdv metric will be defined, and as well as the methodology
 for error corrections. This will not be a two-ways metric, but a
 "paired" one-way in opposite directions. Some statistics describing the
 IP path's behavior will be proposed.

 In the Appendix A a more detailed analysis is reported of the ipdv
 theory and of the characteristics of ipdv distribution.

5. A singleton definition of a One-way ipdv metric

 This definition makes use of the corresponding definition of type-P-
 One-Way-Delay, that is supposed to be known. This section makes use
 of those parts of the One-way-delay One-Way-Delay Draft that directly apply to the
 One-Way-ipdv metric, or makes direct references to that Draft.

5.1. Metric name


5.2. Metric parameters

 + Scr, the IP address of a host
 + Dst, the IP address of a host
 + T1, a time
 + T2, a time. It is explicitly noted that also the difference T2-T1
 is a parameter of the measurement though this is already implicit,
 since the times T1 and T2 exactly define the time conditions in which
 the measurement takes place.

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 + Path, the path from Src to Dst; in cases where there is only one

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 path from Src to Dst, this optional parameter can be omitted.
 {Comment: the presence of path is motivated by cases such as with
 Merit's NetNow setup, in which a Src on one NAP can reach a Dst on
 another NAP by either of several different backbone networks. Gener-
 Generally, this optional parameter is useful only when several different dif-
 -ferent routes are possible from Src to Dst. Using the loose source
 route IP option is avoided since it would often artificially worsen
 the per-
 formance performance observed, and since it might not be supported along
 some paths.}

5.2. 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.

5.3. Definition

 Type-P-One-way-ipdv is defined for two (consecutive) packets from Src
 to Dst, as the difference between the value of the type-P-One-way-
 delay from Src to Dst at T2 [via path] and the value of the type-P-
 One-Way-Delay from Src to Dst at T1 [via path]. 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 therefore ideally derived from the One-Way-Delay metric.

 NOTE: The requirement of "consecutive" packets is not essential. The
       measured value is anyway the difference in one-way-delay One-Way-Delay at the
       times T1 and T2, which is meaningful by itself, as long as the
       times T1 and T2 are such to describe the investigated characteristics. charac-
       -teristics. These times will be better defined later.

 Therefore, for a real number ddT "The type-P-one-way-ipdv from Src to
 Dst at T1, T2 [via path] is ddT" means that Src sent two consecutive
 packets whose the first at wire-time T1 (first bit), and the second
 wire-time T2 (first bit) and the packets were received by Dst at wire
 -time dT1+T1 (last bit of the first packet), and, respectively, 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 [via path] is unde-
 fined" 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.

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5.4. Discussion

 Type-P-One-way-ipdv is a metric that makes use of the same measurement
 methods provided for delay metrics.

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  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 care-
        carefully examined in section 6. of this memo. It is pointed
        out that, if the reciprocal clock conditions change in time,
        the ac-
   curacy accuracy of the measurement will depend on the time interval inter-
        -val T2-T1 and the amount of possible errors will be discussed
 + A given methodology will have to include a way to deter-
   mine determine whether a
        delay value is infinite or whether it is mere-
   ly 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 nee-
        -ded 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.}
 + Usually a path is such that if the first packet is largely delayed,
        it can "stop" the second packet of the pair and vary its delay.
        This is not a problem for the definition since is, in any case,
        part of the description of the path's behavior.
 + As with other 'type-P' metrics, the value of the metric may de-
        -pend 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. One-Way-Delay.
 + If the packet is fragmented and if, for whatever reason, reas-
        -sembly does not occur, then the packet will be deemed lost.

5.5. 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,

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Generally, for a given Type-P, the methodology would proceed as fol-

 +	The need of synchronized clocks for Src and Dst will be discus-
        -sed later. Here a methodology is supposed that is based on
        synchronized clocks.

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 + At the Src host, select Src and Dst IP addresses, and form two
        test packets of Type-P with these addresses. Any 'padding' por-
        -tion 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.
 + Optionally, select a specific path and arrange for Src to send
        the packets to that path. {Comment: This could be done, for
        example, by installing a temporary host-route for Dst in Src's
        routing table.}
 + At the Dst host, arrange to receive the packets.
 + At the Src host, place a timestamp in the prepared first
        Type-P packet, and send it towards Dst [via path].
 + 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 One-Way-Delay can
        be computed.
 + Record this first delay value.
 + At the Src host, place a timestamp in the prepared second
        Type-P packet, and send it towards Dst [via path].
 + 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 One-Way-Delay can
        be computed.
 + By subtracting the second value of one-way-delay One-Way-Delay from the first value
        the ipdv value of the pair of packets is obtained.
 + If one or both packets fail to arrive within a reasonable period
        of time, the ipdv is taken to be undefined.

5.6. Errors and Uncertainties

 In the singleton metric of ipdv, factors that affect the measurement
 are the same that can affect the one-way delay One-Way-Delay measurement, even if,
 in this case, the influence is different.

 The Framework document 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'.

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 Each of these type of errors are discussed in more detail below. in the next

5.6.1. Errors/Uncertainties related to Clocks

 If, as a first approximation, the error that affects the first measu-
 rement of one-way delay One-Way-Delay were the same of the one affecting the second

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 measurement, they will cancel each other when calculating ipdv. The
 residual error related to clocks is the difference of the said errors
 that are supposed to change from the time T1, at which the first
 measurement is performed, to the time T2 at which the second measure-

 ment 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.
 + If the synchronization error affecting the One-Way-Delay measurement
        is Tsync, and it is a linear func-
   tion function of time, through the skew value,
        value "sk", at time T1 the error will be Tsync1 and at time T2
        the error will be Tsync2. The ipdv mea-
  surement measurement will be affected
        by the error Tsync2-Tsync1, error:
        Tsync2-Tsync1 = sk x (T2 - T1)
  from on skew and T2-T1. To minimize this error it is possible pos-
        sible to reduce the time interval T2-T1, but this could limit
        the genera-
  lity generality of the metric.
        Methods for evaluating the synchronization error will be discussed discus-
        sed below, since they come from a statistic over a significant
        If the measurement conditions do not allow to neglect the drift,
        supposed as linear in the interval T2-T1, and having a value of
        "dr" expressed in ppm / sec., the ipdv error will become:
        Tsync2-Tsync1 = sk x (T2 - T1) + [dr x (T2-T1) x (T2-T1)] / 2
        It has to be noted that the presence of drift varies the skew
        value in the time. The limits in which the skew can vary are
        anyway limited and little, so that a given drift cannot act
        indefinitely. Section 7 and Appendix A provide more information
        on this point.
 + As far as accuracy and resolution are concerned, what is noted
        in the above referenced Draft on one-way delay One-Way-Delay at 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.

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5.6.2. Errors/uncertainties related to Wire-time vs Host-time

The content of sec. 3.7.2 of the above referenced Draft applies also
 in this case, with the following further consideration:
 The difference between Host-time and Wire-time can be in general de-
 composed into two components, whose one is constant and the other is
 variable around zero. Only the variable components will produce measu-
 rement errors, while the constant one will be canceled while calcu-
 lating ipdv.

6. Definitions for Samples of One-way ipdv

 Starting from the definition of the singleton metric of one-way ipdv,

 some ways of building a sample of such singletons are here described
 that have to be further analyzed in order to find described.
 In particular two "discontinuous" samples  and one "continuous" sample
 are defined, and the best way last one is proposed, being the most suitable for
 describing the aspect of con-
 sidering all the related problems. path's behavior underlined in the motiva-
 In the following, the two packets needed for a singleton measurement
 will be called a "pair".

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6.1. A "discontinuous" definition "Discontinuous" definitions

 A general definition can be the following:
        Given particular binding of the parameters Src, Dst, path, and
        Type-P, a sample of values of parameters T1 and T2 is defined.
        The means for defining the values of T1 is to select a beginning
        time T0, a final time Tf, and an average rate lambda, then
        define a pseudo-random Poisson arrival process of rate lambda,
        whose values fall between T0 and Tf. The time interval between
        successive values of T1 will then average 1/lambda. Another si-
        milar, but independent, pseudo-random Poisson arrival process
        based on T0', Tf' and lambda', will produce a series of t'
        values. The time interval between successive t' values will then
        average 1/lambda'. For each T1 value that has been obtained
        by the first process, it is then possible to calculate the
        successive T2 values as the successive T1 values plus the
        successive intervals of t'.

        The result is shown in figure 1.

       |<- average interval 1/lambda ->|
       |                               |
       |<- |                   |<-   |
       |1/lambda'->|                   |  1/lambda'->|
        pair i                            pair i+1
                       Figure 1

 This general definition is likely go give problems, if no limits are
 considered for the obtained values. For example, the emission
 time of the first packet of a pair, could fall before the emission
 time of the second packet of the preceding pair. Probably this could
 be acceptable (provided that there are means to recognize pairs -e.g.

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use of sequence numbers-), but the concept itself of ipdv would be,at
 least, slightly changed. A way for avoiding this type of philosophical
 problems can be to give some rules on the values T0, Tf, lambda,
 T0', Tf', lambda', without changing the meaning of the metric.

6.2. A "continuous" definition

 A way to naturally avoid the previous problem is to adopt the following
 A continuous stream of test packets can

             |<- average interval 1/lambda ->|
             |                               |
             |<- |                   |<-   |
             |1/lambda'->|                   |  1/lambda'->|
               pair i                           pair i+1
                             Figure 1

 As an example, it could be supposed, where defined that the second
 packet process of a pair is, at the same time, sorting the first packet
 interval between pairs starts after the interval between packets in a
 pair is expired, obtaining the result of figure 2:

                          |<--- av. int.......|
..........................|     1/lambda  --->|
                          |                   |
              |<- |                   |<-   |
              |1/lambda'->|                   |  1/lambda'->|
                pair i                           pair i+1
                              Figure 2

Still other problems can be envisaged with these two definitions which
are described in some more detail in Appendix A.

6.2. A "continuous" definition

 A way for naturally avoiding the previous problems and producing a
 testing environment closer to actual scenarios is to adopt the follo-
 wing "continuous" definition.
 A continuous stream of test packets can be supposed, where the second
 packet of a pair is, at the same time, the first packet of the next
 pair. Therefore the preceding definition becomes:

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    + Given particular binding of the parameters Src, Dst, path, and
        Type-P, a sample of values of parameter T1 is defined.
        The means for defining the values of T1 is to select a beginning
        time T0, a final time Tf, and an average rate lambda, then
        define a pseudo-random Poisson arrival process of rate lambda,

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        whose values fall between T0 and Tf. The time interval between
        successive values of T1 will then average 1/lambda. From the
        second value on, T1 value of the pair n coincides with T2 of
        the pair n-1, and the first packet of pair n coincides with the se-
        second packet of the pair n-1.
 For the moment, in the following, this second last definition will be con-
 sidered. Further refinement is required and is for further discussion.

6.3. Metric name


6.4. Parameters
 + Src, the IP address of a host
 + Dst, the IP address of a host

 + Path, the path* from Src to Dst; in cases where there is only
 one path from Src to Dst, this optional parameter can be omitted
 + T0, a time
 + Tf, a time
 + lambda, a rate in reciprocal seconds

6.5. Metric Units:

 A sequence of triads whose elements are:
 + T, a time
 + Ti, a time interval.
 + dT a real number or an undefined number of seconds

6.6. 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 Ti greater than or equal to T0 and less than or
 equal to Tf are then selected. Starting from time T, at each pair of
 times T(i), T(i+1)of this process a value of Type-P-One-way-ipdv is
 obtained. The value of the sample is the sequence made up of the
 resulting <time, time interval, ipdv> triad, where the time interval
 is given by T(i+1)-T(i). Each obtained time T(i), excluding the first
 and the last, is therefore at the same time the the second time of
 pair i and the first time of pair i+1. The result is shown in figure 2 3

              |T(i-2)    |T(i-1)             |T(i)      |T(i+1)
                pair i-1        pair i         pair i+1

                               Figure 2 3
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6.7. 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. {Comment: there is, of
 course, no claim that real Internet traffic arrives according to a
 Poisson arrival process.}

6.8. Methodology

 Since packets can be lost or duplicated or can arrive in a different
 order with respect the one of emission, in order to recognize the
 pairs of test packets, they should be marked with a Sequence Number
 or make use of any other tool suitable to the scope. For duplicated
 packets only the first received copy should be considered. If a pac-
 ket is lost, two values of ipdv will be undefined, since each packet,
 in the supposed "continuous" definition, is common to two pairs.

 Steps for measurement can be the following:
 +  Starting from a given time T, Src generates a test packet as for
        a singleton metrics, inserts in the packet a Sequence Number
        and the transmission Time Stamp Tx,then sorts the time Ti at
        which the next packet has to be sent.
 +	At time Ti, Src repeats the previous step, unless T(i) > Tf.
 +  On reception of the first packet, or the first packet after a SN
        error, Dst records SN and Tx timestamp that are contained in
        the packet and the reception time Rx as "old values".
 +  On reception of the other packets Dst verifies the SN and if it is
        correct, by using the "old values" and the newly received ones,
        a value of ipdv is computed. Then Dst records the new SN, Tx
        and Rx timestamps as "old values".

6.9. Errors and uncertainties

 The same considerations apply that have been made about the single-
 ton metric. An additional error can be introduced by the pseudo-ran-
 dom Poisson process as focused in the above referenced Draft.
 Further considerations will be made in section 7.

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6.10 Some statistics for One-way-ipdv

 Some statistics are here considered, that can provide useful informa-
 -tion in analyzing the behavior of the packets flowing from Src to Dst

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 These statistics are given having in mind a practical use of them. The
 focus is on the instantaneous behavior of the connection, while buffer
 dimensioning is not in the scope of this document.
 Other statistics can be defined if needed.

6.10.1. Type-P-One-way-ipdv-inverse-percentile

 Given a Type-P-One-way-ipdv-Stream and a time threshold, that can be
 either positive or negative, the fraction of all the ipdv values in
 the Stream less than or equal to the threshold, if the threshold is
 positive, or greater or equal to the threshold if the threshold is ne-

 For many real-time services that require a regular delivery of the
 packets, this statistics can give the amount of packets received
 beyond acceptable limits.

6.10.2 Type-P-One-way-ipdv-standard-deviation

 Given a Type-P-One-way-ipdv-Stream, the distribution of ipdv values
 is considered and the Standard Deviation can be calculated as an
 indication of regularity of delivery. For practical purposes it can be
 useful to define a total standard deviation, computed over the com-
 plete set of value, and a standard deviation computed over the sub-
 set of those values that do not exceed given positive and negative
 thresholds. This allows a more accurate description of the performan-
 ce experienced by packets. Details on the shape of the ipdv distribu-
 tion are given in Appendix A.

6.10.3 Type-P-One-way-ipdv-average

 This statistic should tend to a value of ZERO for a number of ipdv
 values that tend to infinite. The behavior of Type-P-One-way-ipdv-
 average, and its meaning, are issues for the next section 7.

7. Discussion on clock synchronization

 This section gives some considerations about the need of having syn-
 chronized clocks at Src and Dst. These considerations are given as a
 basis for discussion, they require further investigation. We start
 from the analysis of the mean value of the ipdv distribution related
 to a "continuous" sample. Some more detailed calculations are presented
 in Appendix A.

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7.1. Mean value of ipdv distribution.

 If D(i) is the delay of packet "i", and ipdv(i) is the i-th value of
 ipdv in the distribution of a sample of "n" values, collected with
 the described methodology, we can write:

 ipdv(1) = D1 - D0
 ipdv(i) = D(i) - D(i-1)
 ipdv(n) = D(n) - D(n-1)

 The mean value of ipdv distribution will result in

 E(ipdv) = (D(n) - D(0))/n

 If an actual measurement is performed, that lasts a period of time
 long enough to contain a number "n" sufficiently large and, supposing
 synchronized clocks, such that the network conditions (traffic) allow
 to find a D(n) not too different from D(0), e.g. a time of n x 24
 hours, E(ipdv) will tend to zero, since the difference D(n) - D(0) will
 remain finite. finite and little.

7.2. Effects of a varying traffic

 If the mean values of delay D are changing inside a given period of
 time, for example they are increasing due to an increment of traffic,
 we can consider, as a first approximation, the ipdv values as decom-
 posed into two components, one being instantaneous and another one
 as having a constant rate dD and corresponding to the increment "per
 interval" of the mean value of D. The mean value of the distribution
 will be shifted of the value dD corresponding to the mean value of
 the interval between test packets. This will happen only during the
 monotonic variation, and is not a distortion, since it is the record
 of the instantaneous behavior. When the conditions will come back
 to the initial ones, the distribution will resume a mean value around
 zero. At any time the distribution will correctly describe As for the
 effects case of drift, also in this case a monotonic varia-
 -tion cannot take place indefinitely. In Appendix A a method is given
 for subdividing the path variation into these two components over short
 periods, in order to have indications on the packet flow. variations of traffic condi-

7.3. Effects of synchronization errors

 We refer here to the two components that can generate this type of
 errors that are the relative reciprocal "skew" and "drift" of the Src and Dst
 clocks. It is first of all noted that the variable component "drift"

I-D                          Ipdv Metric                   November 1998

 is physically limited and its effects can be interpreted by saying
 that the total reciprocal skew of the two clocks can vary, ranging from
 a min to a max max. value in the time. This type of variation takes place
 very slowly being mostly connected to variations in temperature.

I-D                 Ipdv Metric                July 1998

 We suppose to perform a measurement between a Src and a Dst that have
 a reciprocal, initial skew of "ts1" and a reciprocal drift such that,
 after the time T the total skew is "ts2". It is not here a limitation
 to consider that at the beginning of time T the two clocks indicate
 the same time T0.

 In order to analyze the effects produced by this situation we suppose
 that packets are transferred, from Src to Dst, with a constant delay D. D
 In this conditions the measured ipdv should always be zero, and what
 is actually measured is the error.

 An ipdv value is measured at the beginning of time T with two packets
 having an interval of Ti(1).Another ipdv value is measured at the end
 of T with two packets having a time interval Ti(2).

 On our purposes other errors (like wire-time vs host-time) are not
 considered since they are not relevant in this analysis. analysis, being common
 to all the measurement methods.

 It is then possible to calculate the values of the Tx and Rx time-
 stamps as they are seen by the two clocks, and the related values of
 the two ipdv

 The first ipdv value will be: ipdv1 = ts1*Ti(1) + ((ts2-ts1)/T)*Ti(1)
 The second ipdv value will be: ipdv2 = ts2*Ti(2) +((ts2-ts1)/T)*Ti(2)

 The error is given by the amount effect of variation the skew during the time inter-
 val Ti(i) between the two packets of the pair, and a second order
 term due to the variation of that variation skew in the same interval.

 If, as in the most of practical cases, the drift can be considered
 close to zero, then ts1 = ts2, and the error is not depending on the
 time at which the measurement is done.

7.4. Related precision

 This means that:
 1) + If the skew is constant and In addition, this type of
 error can be corrected as it is indicated in the next paragraph and
 discussed in Appendix A.

 In any case the maximum error on an ipdv value will correspond to the
 effect of the maximum reciprocal skew on the maximum interval between

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7.4. Related precision

 This means that:
 1) + If the skew is constant and is = ts all the ipdv(i) values are
    increased by the quantity Ti(i)*ts with respect the actual value.
    The mean ipdv value will therefore increased of the quantity
    E[Ti(i)]*ts, which is measured. Also E[Ti(i)] can be measured, and
    should be related to lambda. That means that the skew ts can be
    calculated. If together with ipdv(i), also the corresponding Ti(i)
    are collected, for each ipdv(i) value a correcting term is avai-
    -lable, and a sample of "corrected" c-ipdv(i) values is obtained,
    where c-ipdv(i) = ipdv(i) - Ti(i)*st.
 2) + Considering the total skew as subdivided into a fixed part and a
    variable part (skew and drift),respectively, ts and + or - td,
    from the mean ipdv value and
  a minimum the mean emission interval the average
    skew can be derived in the period of interest (Appendix A). The
    preceding correction can then be applied. The maximum residual er-
    -ror on an ipdv value is given by the difference between the actual
    skew at the time T in which the drift can go from -td to +td or vice
  -versa, each ipdv(i) value will be increased of has been measured and the fixed quantity
  Ti(i)*ts plus or minus, as a maximum, ave-
    -rage skew, multiplied by the quantity 2*td*Ti(i)/T

I-D                 Ipdv Metric                July 1998 time interval between the packets
    that have generated that ipdv value. Considerations on the number
    of values in the sample affected by errors are reported in
    Appendix A.
 3) + If the duration of the measurement is such that it is possible
    to consider that the effect of the items at points 7.1 and 7.2,
  and the effect of the drift
    are negligible (related average ten-
  ding close to zero), zero, the mean value of the ipdv distribution will
    have the value of the average skew multiplied by the mean value of
    the emission
 interval. interval, as supposed above.
 4) + We observe that the displacement due to the skew does not change
    the shape of the distribution, and, for example the Standard Devi-
    ation remains the same. What introduces a distortion is the effect
    of the drift, even if 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. Definition for a bidirectional ipdv metric

 We now consider
 5) + In what has been said, skew and drift have been considered as
    reciprocal". In Appendix A it will be considered that the action each of the
    two clocks have a skew on one and a drift with respect a "true time", and
    it will be observed that the difference is negligible with respect
    the situation in which one of the two clocks is taken as the "true

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8. Definition for a bidirectional ipdv metric

 We now consider that the action of the skew on one direction is the
 same, with opposite sign, of the action on the other direction. The
 idea of performing at the same time two independent measurements in
 the two directions is suggested by this fact.

 If, after a long measurement, the variable conditions of the system
 under test have reached the situation of a contribution close to zero
 to the mean value of the ipdv distribution, it is expected that only
 the fixed action of the average skew has modified the measured mean value.
 It is therefore expected that on one direction that value is equal and
 opposite to the one measured in the other direction.

 This fact offers the possibility of defining a theoretical reference
 measurement duration in the following way:

 The reference duration of a bidirectional ipdv measurement between
 an host E and an host W is reached at time Tf such that for each time
 T > Tf the expression ABS(E(ipdv E-W) - E(ipdv W-E))< epsilon, where
 epsilon is what we can consider as zero, is always verified. This is
 one, but not the only method for verifying that the mean ipdv value
 has reached the value of the average reciprocal skew.

 At this point it is possible to evaluate the reciprocal skew.
 This will require the knowledge of the mean value of the intervals
 between consecutive packets, that can be calculated over the trans-
 -mitted stream, by using the collected time stamps.

 A bidirectional measurement can be defined not only as twin one-way
 independent metrics that take place (nearly) at the same time, but
 also as a two-ways metric making use of packets looped back at one
 end. This metric, that can be object of further study/Draft, would be
 able to measure also the Round Trip Delay and its variations. Problems
 will anyway arise on the characterization of emission intervals in the
 backward direction. They would be produced by the combination of the
 original Poisson arrival process and the effect of ipdv on the forward
 direction. It has to be studied if this sequence of intervals is still
 suitable for the measurement. also other possibilities can be
 envisaged for obtaining a proper backward sequence and still maintain
 the loopback concept.

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9. References

 V.Paxon, G.Almes, J.Mahdavi, M.Mathis - "Framework for IP Performance
 Metrics", Internet Draft <draft-ietf-ippm-framework-01.txt> Feb. 1998

 G.Almes, S.Kalidindi - "A One-way Delay One-Way-Delay Metric for IPPM", Internet
 Draft <draft-ietf-ippm-delay-01.txt> Nov. 1997

10. Author's Address

 Carlo Demichelis <>
 CSELT - Centro Studi E Laboratori Telecomunicazioni S.p.A
 Via G. Reiss Romoli 274
 10148 - TORINO
 Phone +39 11 228 5057
 Fax. +39 11 228 5069

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This Appendix considers the scenario in which two hosts have clocks
that are both not synchronized. Between the two hosts, in an inde-
-pendent way and at the same time in both direction an ipdv measure-
-ment is performed according the methodology that is described in the
main body of this Draft.
This hypothetical scenario is only supposed for discussing the theory
and the characteristics of the ipdv metric and its results, without
considering implementation issues.

A.1 - Initial positions

The two hosts will be called West (W) and East (E). The two measure-
-ments start at the same time, while the end of the measurement it is
supposed to be decided by the results of the measurement itself.

At the beginning of the measurement the time declared by the West
clock is T0w, the time declared by the East clock is T0e, while the
true time is T0t.

The W-clock is affected by an absolute skew of skw ppm and the E-clock
by an absolute skew of skw ppm.

The W-clock is affected by an absolute drift ranging from -drw ppm to
+drw ppm, the E-clock by an absolute drift ranging from -dre ppm to
+dre ppm.

A.2 - Evaluation of skew and drift effects

In order to evaluate the effect of the drift on this type of metric,
it is necessary to consider the time in which the variation of the skew
takes place. We consider the two extreme cases in which the variation
takes place uniformly from the beginning to the end of the measurement
and the variation takes place suddenly at a generic time along the
measurement. Let TM be the measurement time.

A.2.1 - Mean ipdv value

Since the mean ipdv value, as it has been seen, is the difference of
the last delay minus the first, divided by the number of considered
values, we consider what, in the two cases, is measured for first and
last delay.

We call trueDf the true first Delay and trueDl the true last Delay.

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For the evaluation that we want to do, it is not a limitation to con-
-sider that they are equal and have a value of trueD. We also consider
as time 0 the true time at which the transmission of the first packet
starts from West toward East.

In case of continuous drift we define a "drift per second" as:
drpsW = 2*drw / TM     and   drpsE = 2*dre / TM
along the measurement this will bring the skew from a value of:
skWmin = skw - drw     ;    skEmin = ske - dre
to a value of
skWmax = skw + drw     ;    skEmax = ske + dre

What is measured as first Delay is:

measured first Rx time - measured first Tx time
OffsetEast + trueD*[1 + skEmin + (1/2)*drpsE] - OffsetWest

What is measured as last Delay is:

measured last Rx time - measured last Tx time
OffsetEast + (TM + trueD)*[1 + skEmin + (1/2)*2*dre] -
    - OffsetWest - TM*[1 + skWmin + (1/2)*2*drw]

The difference between the last and first Delay is therefore:

TM*(skEmin - skWmin + dre - drw) - trueD*drpsE/(2*TM)

if TM = 10 hours drpsE is in the order of 50*10E-6 / 36000 that is
about 10E-9 and the second term of the expression is in the order of
10E-14 for true delays in the order of 1 sec (negligible term).
We consider that, with very good approximation:

Mean emission interval (mti) = TM / number of ipdv values (N)

mean ipdv = (measured last Delay - measured first Delay) / N =
          = mti*(skEmin - skWmin + dre - drw)

but we considered skEmin = ske - dre and skWmin = skw - drw
and therefore:

mean ipdv = (meas.lastD - meas.firstD) / mti*(reciprocal mean skew)

The previous procedure is now applied to the case in which the total
drift takes place in a very short time. Some cases are possible, and
we consider the one in which at the beginning the West clock has
skWmax and the East clock has skEmin, at time txW the West clock
assumes skWmin and at time txE the East clock assumes skEmax.

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What is measured as first Delay is now:

measured first Rx time - measured first Tx time
OffsetEast + trueD*(1 + skEmin) - OffsetWest

What is measured as last Delay is:

measured last Rx time - measured last Tx time
+ OffsetEast + txE*(1 + skEmin) + (TM - txE)*(1 + skEmax) +
+ trueD*(1 + skEmax) -
- OffsetWest - txW*(1 + skWmax) - (TM - txW)*(1 + skWmin)

but the mean skew values will be:

mskw = [skWmax*txW + skWmin*(TM - txW)] / TM
mske = [skEmin*txE + skEmax*(TM - txE)] / TM

the difference between the two delays therefore is:

TM*(mske - mskw) + 2*trueD*dre

and the mean ipdv value will be:

mean ipdv = mti*(mske - mskw) + 2*mti*trueD*dre/TM

the second term of the second member in the previous hypotheses is in
the order of the nanosecond, and we neglect it. Also in this case, from
the mean ipdv value, and knowing the mean emission interval, the rela-
-tive skew of the clocks can be obtained.

More in general, independently on how the drift acts inside its limits,
we assert that always the mean ipdv value divided by the mean emission
interval produces the value of the mean reciprocal skew of the two
clocks, provided that the collected number of ipdv values is signi-
-ficant for the statistics.

A.2.2 - Errors and corrections

If the drift is always close to zero, it is possible to obtain the
true value of the reciprocal skew and correct all the ipdv values. Each
of them is associated to an emission interval ti between the two
packets that have produced the value itself. Then a better ipdv value
will be:
corr.ipdv(i) = meas.ipdv(i) - ti * skew
This is a better value but not exactly the true one, since we supposed
that both clocks are not synchronized to the true time. Two errors are
affecting the corrective terms which are:

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+ The reciprocal skew is measured as referred to the Src clock
+ The interval ti is measured by the Src clock.
These are second order errors since the measured skew will be affected
by a "relative" error in the order of the Src skew, an the same is
for the error affecting the ti value.

If the drift is significant and it can range from the lower to the
upper limit of its field, the measured average of the skew will depend
on the type of variation. Some cases are considered that demonstrate
that actually the proposed correction is not so much effective in this
case. Only the fixed part of the total clock variation can be properly

A.2.2.1 - Constant drift

The first case is the first one considered in the preceding paragraph,
where the drift is uniform. We suppose that a reciprocal skew is measu-
-red and used for correction.

At the beginning of the measurement the actual reciprocal skew is:

init.skew = mean.skew - rel.max.drift

and at the end the actual reciprocal skew is:

final.skew = mean.skew + rel max.drift

The correction is effective only in the central part of the measurement.
At the beginning and at the end a residual error will affect the ipdv
values whose value will be:

ipdv(i).err = ti * rel.max.drift

We underline here that the error is larger for large intervals ti and
lower for short intervals ti. For intervals derived from a poissonian
arrival process, there are many short intervals and few large intervals.
We also note that a constant drift cannot last indefinitely, since there
is a minimum and a maximum for the skew.

A.2.2.2 - Step of drift

In this case the error profile depends on the time at which the drift
changes. If the change is near the beginning or near the end of the
measurement, the calculated mean skew will be very close to the actual
skew of the largest part of the measurement. On that part the correc-
-tion will be effective, while over the remaining few values the error
will be twice with respect the preceding case.

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The worse condition is produced by a change in drift in the middle of
the measurement. In this case the correction would be useful only if
the drift was significantly less than the skew.

A.3 - Comparison with a synchronized case

In this section we consider a case in which the two hosts have synchro-
-nized clocks, and the synchronization is obtained by setting the real
time each second in each of the clocks. We optimistically suppose that
this is done exactly (without any imprecision). On the clocks, anyway
skew and drift continue to act. We refer to reciprocal skew and drift,
having already seen that this is significant. We suppose to perform an
ipdv measurement and we evaluate what is measured by the mean ipdv
value and what is the error on the measured ipdv values.

We notice, first of all, that nothing changes for ipdv values measured
over intervals falling completely between two synchronization instants.
In this case, the effect of synchronization is only to put to zero the
offset, that does not appear in the calculation of ipdv values.

Something different happens if the synchronization instant (or more
synchronization instants) falls inside the interval. In this case the
error can range from + to - the error related to one second interval,
or, more in general, from + to - the error related to an interval equal
to the synchronization period. The (few) large intervals will produce
a limited error while the (many) short intervals will continue to
produce errors of the same order of magnitude of the not synchronized

Besides, even if the drift is negligible, the mean ipdv value is no
more suitable to calculate the skew, and it will be much more close to
zero. Therefore it is no more possible to correct the distortion of the

Finally, it is necessary to add to these errors the unavoidable impre-
cision of the synchronization process. We have to consider that the
magnitude of errors introduced by skew and drift is in the order of
tenth of microseconds. Not always the complete synchronization process
has a better precision.

A.4 - Bidirectional measurement and components of ipdv

Three terms have been described that can displace the mean ipdv value
from zero. They are:

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- The total skew, already discussed above, that always acts in an equal
  way and opposite direction over the two directions between West and
  East hosts.
- The effect of varying traffic that can increase or decrease along
  limited periods, the average value of the One-Way-Delay. The metric
  above presented supposes that the measurement period is large enough
  for considering this effect as tending to zero.
  It is explicitly noted that the effect will produce a zero effect
  only on the mean ipdv value, while the effect on values ipdv(i) is
  always present. This is not a distortion of the distribution, since
  is part of the variation that is measured. This effect is different,
  and usually concordant, on the two directions.
- The difference between first and last instantaneous values of the
  delay variation, that tends to zero when the number of collected
  ipdv values becomes large.

In order to isolate the last two effects, we consider here a measurement
over a long period (e.g. 24 hours)where the drift is negligible, and
the effect of the skew has been corrected.

A.4.1 - Slow variation in a given period

The packets of the stream can be represented on a system of cartesian
orthogonal axes with transmission time on x-axis and reception time on
y-axis, by points localized by transmission and reception time of each
packet. Considering an arbitrary period of time Tper, which will be a
parameter of this procedure, it can be taken as a sliding window over
the sample and for each position of this window, established by suc-
-cessive packets, the segment of straight line is calculated that best
approximate the points, by means of a linear regression method.

The slope of this segment will be one if along the period the delay
has not changed, and different from one if that delay has increased (>1)
or decreased (<1). For each position of the window it is therefore
possible to find a value of "slow delay variation" with Tper as a
parameter. This will give an indication on variations produced by
different traffic conditions along the measurement period. This item
can be subject for further study.

At the same time this procedure offers a criterion for reducing the
error introduced in the calculation of the mean ipdv by the instanta-
-neous component of the difference between last and first delay.
Supposing that the timestamps, on which the metric is based, are
collected and then processed, if the method of the sliding window is
applied at the beginning and at the end of the collected sample, it
is possible to avoid starting and ending the measurement on values
possibly too different from the average (points too far away from the
calculated straight line).

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A.5 - Symmetry of an ipdv distribution and emission intervals

It is demonstrated that, if the packets of the test sequence are pro-
pagated in an independent way, in the sense that none of them is
influenced by the preceding packets (large emission intervals), the ipdv
distribution will be perfectly symmetrical. If the variation of the
delay is such that some packets is delayed by the preceding one (ideal-
-ly queued to it in a buffer), the related ipdv value generated will
have a lower limit, that will be the negative value of the emission
interval minus the time required for transmitting the packet from the
buffer. If the intervals were constant, this would correspond to a well
defined value, that would allow to measure the bandwidth of the bottle-
-neck provided by the output of that buffer. Since the intervals are
derived from a poissonian arrival process, this limit is not a fixed
one, and is not immediately evident of the ipdv distribution.

Another effect of this interference among packets is that also the
packet following the queued one will produce a lower ipdv value since
it will "gain" the time of latency in the buffer of the previous one.

The total effect is that the ipdv values will tend to concentrate on
the negative side of the distribution, with some limitation on the
negative maximum values. In other words, the negative side of the
distribution will be shorter than the positive one, but containing more
values. Nothing changes for the meaning of the mean ipdv value.

This asymmetry is not a distortion, since represents the actual propa-
-gation characteristics. For the supposed type of intervals, the dis-
-tribution is always asymmetrical, since always are present intervals
lower than the delay variability, and the degree of asymmetry will
change with the level of interference.

The relationship between asymmetry and the combination of average emis-
-sion interval and available bandwidth can be investigated and could
provide information about the level of congestion of the network