Network Working Group              G. Almes, Advanced Network & Services
Internet Draft                 S. Kalidindi, Advanced Network & Services
Expiration Date: May 1997                                  November 1996


                    A One-way Delay Metric for IPPM
                  <draft-ietf-bmwg-ippm-delay-00.txt>


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  ftp.is.co.za   (Africa),   nic.nordu.net   (Europe),
   munnari.oz.au  (Pacific  Rim),  ds.internic.net  (US  East Coast), or
   ftp.isi.edu (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. Introduction

   This memo defines a metric for one-way delay of packets across Inter-
   net  paths.   It  builds  on  notions introduced and discussed in the
   revised  IPPM  Framework   document   (currently   <draft-almes-ippm-
   framework-01.txt>);  the  reader  is assumed to be familiar with that
   document.  {Comment: The revised document, which is being  edited  in
   parallel with the present document, introduces the notion of 'type-P'
   packets, develops some notions of clock uncertainties, develops  some
   notions of measurement calibration, and develops some techniques use-
   ful for statistics.}

   The structure of the memo is as follows:






Almes and Kalidindi                                             [Page 1]





ID                        One-way Delay Metric             November 1996


 +    A 'singleton' analytic metric, called  Type-P-One-way-Delay,  will
      be introduced to measure a single observation of one-way delay.
 +    Using  this  singleton  metric, a 'sample', called Type-P-One-way-
      Delay-Stream, will be introduced to measure a sequence of  single-
      ton delays measured at times taken from a Poisson process.
 +    Using  this  sample,  several  'statistics'  of the sample will be
      defined and discussed.
   This progression from singleton to sample to statistics,  with  clear
   separation  among them, is important.  {Comment: In fact, it might be
   wise to make them separate documents in the future.}

   Whenever a technical term from the IPPM Framework document  is  first
   used  in  this  memo,  it will be tagged with a trailing asterisk, as
   with >>term*<<.


2.1. Motivation:

   One-way delay of a type-P packet from a source host* to a destination
   host is useful for several reasons:
 +    Some  applications  do  not perform well (or at all) if end-to-end
      delay between hosts is large relative to some threshold value.
 +    Erratic variation in delay makes it difficult (or  impossible)  to
      support many real-time applications.
 +    The larger the value of delay, the more difficult it is for trans-
      port-layer protocols to sustain high bandwidths.
 +    The minimum value of this metric provides  an  indication  of  the
      delay due only to propagation and transmission delay.
 +    The  minimum  value  of  this metric provides an indication of the
      delay that will likely be experienced when the path* traversed  is
      lightly loaded.
 +    Values  of  this metric above the minimum provide an indication of
      the congestion present in the path.
   It is outside the scope of this document to say precisely  how  delay
   metrics would be applied to specific problems.


2.2. General Issues Regarding Time

   Whenever  a time (i.e., a moment in history) is mentioned here, it is
   understood to be measured in seconds relative to 0000 UT on 1 January
   1900.   {Comment: times will thus be commensurate with NTP timestamps
   [Mills: RFC 1305].}

   As described more fully in the (revised)  Framework  document,  there
   are four distinct, but related notions of clock uncertainty:





Almes and Kalidindi                                             [Page 2]





ID                        One-way Delay Metric             November 1996


synchronization
     measures  the  extent to which two clocks agree on what time it is.
     For example, the clock on one host might be 5.4 msec ahead  of  the
     clock on a second host.

accuracy
     measures  the  extent  to which a given clock agrees with UTC.  For
     example, the clock on a host might be 27.1 msec behind UTC.

resolution
     measures the precision of a given clock.  For example, the clock on
     an  old Unix host might tick only once every 10 msec, and thus have
     a resolution of only 10 msec.

skew measures the change of accuracy, or of synchronization, with  time.
     For example, the clock on a given host might gain 1.3 msec per hour
     and thus be 27.1 msec behind UTC at one time and only 25.8 msec  an
     hour  later.  In this case, we say that the clock of the given host
     has a skew of 1.3 msec per hour relative to UTC, and this threatens
     accuracy.  We might also speak of the skew of one clock relative to
     another clock, and this threatens synchronization.


3. A Singleton Definition for One-way Delay


3.1. Metric Name:

   Type-P-One-way-Delay


3.2. Metric Parameters:
 +    Src, the IP address of a host
 +    Dst, the IP address of a host
 +    T, a time
 +    First-hop, the IP address of the first hop router on the path from
      Src to Dst; this optional parameter defaults to the router one hop
      from Src whenever there is in fact only one such router
   {Comment: the presence of first-hop 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.
   Generally, this optional step is useful when several different routes
   are possible from Src to Dst and determining the first hop can effec-
   tively  choose  among  them.  The more flexible loose source route IP
   option is avoided since it would often artificially worsen  the  per-
   formance  observed,  and  since  it might not be supported along some
   paths.}




Almes and Kalidindi                                             [Page 3]





ID                        One-way Delay Metric             November 1996


3.3. Metric Units:

   The value of a type-P-One-way-Delay is  either  a  non-negative  real
   number or an undefined (informally, infinite) number of seconds.


3.4. Definition:

   For  a non-negative real number dT, >>the *Type-P-One-way-Delay* from
   Src to Dst at T [via first-hop] is dT<< means that Src sent a  type-P
   packet  [via  first-hop]  to Dst at time T and that Dst received that
   packet at time T+dT.

   >>The *Type-P-One-way-Delay* from Src to Dst at T [via first-hop]  is
   undefined  (informally,  infinite)<<  means  that  Src  sent a type-P
   packet [via first-hop] to Dst at time T and that Dst did not  receive
   that packet.


3.5. Discussion:

   Type-P-One-way-Delay  is a relatively simple analytic metric, and one
   that we believe will afford effective methods of measurement.

   The following issues are likely to come up in practice:
 +    Since delay values will often be as low as the 100 usec to 10 msec
      range,  it  will  be important for Src and Dst to synchronize very
      closely.  GPS systems afford one way to achieve synchronization to
      within several 10s of usec.  Ordinary application of NTP may allow
      synchronization to within several msec, but this  depends  on  the
      stability  and symmetry of delay properties among those NTP agents
      used, and this delay is what we are trying to measure.  A combina-
      tion  of  some GPS-based NTP servers and a conservatively designed
      and deployed set of other NTP servers should yield  good  results,
      but this is yet to be tested.
 +    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.  {Com-
      ment: 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.}





Almes and Kalidindi                                             [Page 4]





ID                        One-way Delay Metric             November 1996


 +    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).


3.6. 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).

   Generally, for a given Type-P, the methodology would proceed as  fol-
   lows:
 +    Arrange that Src and Dst are synchronized; that is, that they have
      clocks that are very closely synchronized with each other and each
      fairly close to the actual time.
 +    At  the Src host, select Src and Dst IP addresses, and form a test
      packet of Type-P with these addresses.  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 compres-
      sion techniques along the path.
 +    Optionally, select a first-hop router IP address and  arrange  for
      Src  to  send  the packet to that router.  {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 packet.
 +    At  the Src host, place a timestamp in the prepared Type-P packet,
      and send it towards Dst [via first-hop].
 +    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.   Error  analysis  of  a given implementation of the
      method must take into account  the  closeness  of  synchronization
      between Src and Dst.  If the delay between Src's timestamp and the
      actual sending of the packet is known, then the estimate could  be
      adjusted  by  subtracting  this  amount; uncertainty in this value
      must be taken into account in error analysis.  Similarly,  if  the
      delay between the actual receipt of the packet and Dst's timestamp
      is known, then the estimate could be adjusted by subtracting  this
      amount;  uncertainty  in  this value must be taken into account in
      error analysis.








Almes and Kalidindi                                             [Page 5]





ID                        One-way Delay Metric             November 1996


 +    If the packet fails to arrive within a reasonable period of  time,
      the one-way delay is taken to be undefined (informally, infinite).
      Note that the threshold of 'reasonable' here is a parameter of the
      methodology.   {Comment:  or  should it be a parameter of the met-
      ric?}
   Issues such as the packet format, the means by which the first-hop is
   ensured, the means by which Dst knows when to expect the test packet,
   and the means by which Src and Dst are synchronized are  outside  the
   scope  of this document.  {Comment: We plan to document elsewhere our
   own work in describing such more detailed  implementation  techniques
   and we encourage others to as well.}


3.7. Errors and Uncertainties:

   The  description of any specific measurement method should include an
   accounting and analysis of various sources of error/uncertainty.  The
   Framework  document  provides  general guidence 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.  We discuss this in more detail below.
 +    Errors/uncertainties due to the difference between 'wire time' and
      'host time'.
   Each of these are discussed in more detail below.


3.7.1. Errors/uncertainties related to Clocks

   The uncertainty in a measurement of  one-way  delay  is  related,  in
   part,  to  uncertainties  in the clocks of the Src and Dst hosts.  In
   the following, we refer to the clock used to measure when the  packet
   was  sent from Src as the source clock, we refer to the clock used to
   measure when the packet was received by Dst as  the  dest  clock,  we
   refer  to  the  observed  time when the packet was sent by the source
   clock as Tsource, and the observed time when the packet was  received
   by  the dest clock as Tdest.  Alluding to the notions of synchroniza-
   tion, accuracy, resolution, and skew mentioned in  the  Introduction,
   we note the following:
 +    Any  error in the synchronization between the source clock and the
      dest clock will contribute to error in the delay measurement.   We
      say  that  the source clock and the dest clock have a synchroniza-
      tion error of Tsynch if the source clock is Tsynch  ahead  of  the
      dest  clock.   Thus,  if  we  know the value of Tsynch exactly, we
      could correct for clock synchronization by adding  Tsynch  to  the
      uncorrected value of Tdest-Tsource.






Almes and Kalidindi                                             [Page 6]





ID                        One-way Delay Metric             November 1996


 +    The  accuracy of a clock is important only in identifying the time
      at which a given delay was measured.  Accuracy,  per  se,  has  no
      importance  to  the accuracy of the measurement of delay.  This is
      because, when computing delays, we are interested only in the dif-
      ferences between clock values.
 +    The  resolution of a clock adds to uncertainty about any time mea-
      sured with it.  Thus, if the source clock has a resolution  of  10
      msec, then this adds 10 msec of uncertainty to any time value mea-
      sured with it.  We will denote the resolution of the source  clock
      and the dest clock as Rsource and Rdest, respectively.
 +    The  skew of a clock is not so much an additional issue as it is a
      realization of the fact that Tsynch is itself a function of  time.
      Thus,  if  we attempt to measure or to bound Tsynch, this needs to
      be done periodically.  Over some periods of  time,  this  function
      can  be  approximated  as a linear function plus some higher order
      terms; in these cases, one option is to use knowledge of the  lin-
      ear  component  to  correct the clock.  Using this correction, the
      residual Tsynch is made smaller, but remains a  source  of  uncer-
      tainty  that must be accounted for.  We use the function Esynch(t)
      to denote an upper bound on the  uncertainty  in  synchronization.
      Thus, |Tsynch(t)| <= Esynch(t).
   Taking  these  items  together, we note that naive computation Tdest-
   Tsource will be off by Tsynch(t) +/- (|Rsource|+|Rdest|).  Using  the
   notion of Esynch(t), we note that these clock-related problems intro-
   duce a total uncertainty of Esynch(t)+|Rsource|+|Rdest|.  This  esti-
   mate  of  total  clock-related  uncertainty should be included in the
   error/uncertainty analysis of any measurement implementation.


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

   Ideally, we'd like to measure the time between when the  test  packet
   leaves  the network interface of Src and when it (completely) arrives
   at the network interface of Dst, and we refer to this as 'wire time'.
   If  the  timings are themselves performed by software on Src and Dst,
   however, then this  software  can  only  directly  measure  the  time
   between  when  Src  grabs  a timestamp just prior to sending the test
   packet and when Dst grabs a timestamp just after having received  the
   test packet, and we refer to this as 'host time'.

   To  the extent that the difference between wire time and host time is
   accurately known, this knowledge can be used to correct for host time
   measurements  and  the  corrected value more accurately estimates the
   desired (wire time) metric.

   To the extent, however, that the difference  between  wire  time  and
   host  time is uncertain, this uncertainty must be accounted for in an
   analysis of a given measurement method.   We  denote  by  Hsource  an



Almes and Kalidindi                                             [Page 7]





ID                        One-way Delay Metric             November 1996


   upper  bound  on  the uncertainty in the difference between wire time
   and host time on the Src host, and similarly define Hdest for the Dst
   host.  We then note that these problems introduce a total uncertainty
   of Hsource+Hdest.  This estimate of  total  wire-vs-host  uncertainty
   should  be included in the error/uncertainty analysis of any measure-
   ment implementation.


4. A Definition for Samples of One-way Delay

   Given the singleton metric Type-P-One-way-Delay, we  now  define  one
   particular  sample  of such singletons.  The idea of the sample is to
   select a particular binding of the parameters  Src,  Dst,  first-hop,
   and Type-P, then define a sample of values of parameter T.  The means
   for defining the values of T 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 T
   will then average 1/lambda.


4.1. Metric Name:

   Type-P-One-way-Delay-Stream


4.2. Metric Parameters:
 +    Src, the IP address of a host
 +    Dst, the IP address of a host
 +    First-hop, the IP address of the first hop router on the path from
      Src to Dst; this optional parameter defaults to the router one hop
      from Src whenever there is in fact only one such router
 +    T0, a time
 +    Tf, a time
 +    lambda, a rate in reciprocal seconds


4.3. Metric Units:

   A sequence of pairs; the elements of each pair are:
 +    T, a time, and
 +    dT, either a non-negative real number or an  undefined  number  of
      seconds.
   The  values of T in the sequence are monotonic increasing.  Note that
   T would be a valid parameter to  Type-P-One-way-Delay,  and  that  dT
   would be a valid value of Type-P-One-way-Delay.





Almes and Kalidindi                                             [Page 8]





ID                        One-way Delay Metric             November 1996


4.4. Definition:

   Given  T0, Tf, and lambda, we compute a pseudo-random Poisson process
   beginning at or before T0, with average arrival rate lambda, and end-
   ing  at  or  after Tf.  Those time values greater than or equal to T0
   and less than or equal to Tf are then selected.  At each of the times
   in  this process, we obtain the value of Type-P-One-way-Delay at this
   time.  The value of the sample is the sequence made up of the result-
   ing <time, delay> pairs.  If there are no such pairs, the sequence is
   of length zero and the sample is said to be empty.


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

   All  the  singleton Type-P-One-way-Delay metrics in the sequence will
   have the same values of Src, Dst, [first-hop,] and Type-P.

   Note also that, given one sample that runs from T0 to Tf,  and  given
   new  time  values  T0'  and Tf' such that T0 <= T0' <= Tf' <= Tf, the
   subsequence of the given sample whose time values  fall  between  T0'
   and Tf' are also a valid Type-P-One-way-Delay-Stream sample.


4.6. Methodologies:

   The methodologies follow directly from:
 +    the  selection  of  specific  times,  using  the specified Poisson
      arrival process, and
 +    the methodologies discussion already given for the singleton Type-
      P-One-way-Delay metric.

   Care  must,  of  course,  be  given  to correctly handle out-of-order
   arrival of test packets; it is possible that the Src could  send  one
   test  packet  at  TS[i],  then  send a second one (later) at TS[i+1],
   while the Dst could receive the second test packet  at  TR[i+1],  and
   then receive the first one (later) at TR[i].




Almes and Kalidindi                                             [Page 9]





ID                        One-way Delay Metric             November 1996


4.7. Errors and Uncertainties:

   In  addition  to  sources of errors and uncertainties associated with
   methods employed to measure the singleton values  that  make  up  the
   sample,  care  must  be  given to analyze the accuracy of the Poisson
   arrival process of the wire-time of the sending of the test  packets.
   Problems  with  this  process  could  be  caused by either of several
   things, including problems with the pseudo-random  number  techniques
   used  to  generate the Poisson arrival process, or with jitter in the
   value of Hsource (mentioned above as  uncertainty  in  the  singleton
   delay  metric).  The Framework document shows how to use an Anderson-
   Darling test for this.


5. Some Statistics Definitions for One-way Delay

   Given the sample metric  Type-P-One-way-Delay-Stream,  we  now  offer
   several  statistics  of  that  sample.   These statistics are offered
   mostly to be illustrative of what could be done.


5.1. Type-P-One-way-Delay-Percentile

   Given a Type-P-One-way-Delay-Stream and a percent X  between  0%  and
   100%, the Xth percentile of all the dT values in the Stream.  In com-
   puting this percentile, undefined values are  treated  as  infinitely
   large.   Note that this means that the percentile could thus be unde-
   fined (informally, infinite).  In addition, the Type-P-One-way-Delay-
   Percentile is undefined if the sample is empty.

   Example: suppose we take a sample and the results are:
        Stream1 = <
        <T1, 100 msec>
        <T2, 110 msec>
        <T3, undefined>
        <T4, 90 msec>
        <T5, 500 msec>
        >
   Then  the  50th  percentile  would be 110 msec, since 90 msec and 100
   msec are smaller and 110 msec and 'undefined' are larger.


5.2. Type-P-One-way-Delay-Median

   Given a Type-P-One-way-Delay-Stream, the median of all the dT  values
   in the Stream.  In computing the median, undefined values are treated
   as infinitely large.




Almes and Kalidindi                                            [Page 10]





ID                        One-way Delay Metric             November 1996


   As noted in the Framework document, the median differs from the  50th
   percentile only when the sample contains an even number of values, in
   which case the mean of the two central values is used.

   Example: suppose we take a sample and the results are:
        Stream2 = <
        <T1, 100 msec>
        <T2, 110 msec>
        <T3, undefined>
        <T4, 90 msec>
        >
   Then the median would be 105 msec, the mean of 100 msec and 110 msec,
   the two central values.



5.3. Type-P-One-way-Delay-Minumum

   Given a Type-P-One-way-Delay-Stream, the minimum of all the dT values
   in the Stream.    In computing this, undefined values are treated  as
   infinitely  large.   Note that this means that the minimum could thus
   be undefined (informally, infinite) if all the dT  values  are  unde-
   fined.  In addition, the Type-P-One-way-Delay-Minimum is undefined if
   the sample is empty.

   In the above example, the minimum would be 90 msec.


6. Security Considerations

   This memo raises no security issues.


7. Acknowledgements

   Special thanks are due to Vern Paxson of Lawrence Berkeley  Labs  for
   his  helpful  comments on issues of clock uncertainty and statistics.
   Thanks also to Sean Shapira for several useful suggestions.


8. References

   G. Almes, W. Cerveny, P. Krishnaswamy, J. Mahdavi, M. Mathis, and  V.
   Paxson,  "Framework  for IP Provider Metrics", Internet Draft <draft-
   almes-ippm-framework-00.txt>, July 1996.

   J. Postel, "Internet Protocol", RFC 791, September 1981.




Almes and Kalidindi                                            [Page 11]





ID                        One-way Delay Metric             November 1996


   D. Mills, "Network Time Protocol (v3)", RFC 1305, April 1992.




9. Authors' Addresses

   Guy Almes <almes@advanced.org>
   Advanced Network & Services, Inc.
   200 Business Park Drive
   Armonk, NY  10504
   USA
   Phone: +1 914/273-7863

   Sunil Kalidindi <kalidindi@advanced.org>
   Advanced Network & Services, Inc.
   200 Business Park Drive
   Armonk, NY  10504
   USA
   Phone: +1 914/273-1219































Almes and Kalidindi                                            [Page 12]