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INTERNET STANDARD
Internet Engineering Task Force (IETF) G. Almes
Request for Comments: 7680 Texas A&M
STD: 82 S. Kalidindi
Obsoletes: 2680 Ixia
Category: Standards Track M. Zekauskas
ISSN: 2070-1721 Internet2
A. Morton, Ed.
AT&T Labs
January 2016
A One-Way Loss Metric for IP Performance Metrics (IPPM)
Abstract
This memo defines a metric for one-way loss of packets across
Internet paths. It builds on notions introduced and discussed in the
IP Performance Metrics (IPPM) Framework document, RFC 2330; the
reader is assumed to be familiar with that document. This memo makes
RFC 2680 obsolete.
Status of This Memo
This is an Internet Standards Track document.
This document is a product of the Internet Engineering Task Force
(IETF). It represents the consensus of the IETF community. It has
received public review and has been approved for publication by the
Internet Engineering Steering Group (IESG). Further information on
Internet Standards is available in Section 2 of RFC 5741.
Information about the current status of this document, any errata,
and how to provide feedback on it may be obtained at
http://www.rfc-editor.org/info/rfc7680.
Almes, et al. Standards Track [Page 1]
RFC 7680 A One-Way Loss Metric for IPPM January 2016
Copyright Notice
Copyright (c) 2016 IETF Trust and the persons identified as the
document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents
(http://trustee.ietf.org/license-info) in effect on the date of
publication of this document. Please review these documents
carefully, as they describe your rights and restrictions with respect
to this document. Code Components extracted from this document must
include Simplified BSD License text as described in Section 4.e of
the Trust Legal Provisions and are provided without warranty as
described in the Simplified BSD License.
Almes, et al. Standards Track [Page 2]
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 4
1.1. Motivation . . . . . . . . . . . . . . . . . . . . . . . 5
1.2. General Issues regarding Time . . . . . . . . . . . . . . 6
2. A Singleton Definition for One-Way Packet Loss . . . . . . . 7
2.1. Metric Name . . . . . . . . . . . . . . . . . . . . . . . 7
2.2. Metric Parameters . . . . . . . . . . . . . . . . . . . . 7
2.3. Metric Units . . . . . . . . . . . . . . . . . . . . . . 7
2.4. Definition . . . . . . . . . . . . . . . . . . . . . . . 7
2.5. Discussion . . . . . . . . . . . . . . . . . . . . . . . 8
2.6. Methodologies . . . . . . . . . . . . . . . . . . . . . . 9
2.7. Errors and Uncertainties . . . . . . . . . . . . . . . . 10
2.8. Reporting the Metric . . . . . . . . . . . . . . . . . . 11
2.8.1. Type-P . . . . . . . . . . . . . . . . . . . . . . . 11
2.8.2. Loss Threshold . . . . . . . . . . . . . . . . . . . 11
2.8.3. Calibration Results . . . . . . . . . . . . . . . . . 11
2.8.4. Path . . . . . . . . . . . . . . . . . . . . . . . . 12
3. A Definition for Samples of One-Way Packet Loss . . . . . . . 12
3.1. Metric Name . . . . . . . . . . . . . . . . . . . . . . . 12
3.2. Metric Parameters . . . . . . . . . . . . . . . . . . . . 13
3.3. Metric Units . . . . . . . . . . . . . . . . . . . . . . 13
3.4. Definition . . . . . . . . . . . . . . . . . . . . . . . 13
3.5. Discussion . . . . . . . . . . . . . . . . . . . . . . . 13
3.6. Methodologies . . . . . . . . . . . . . . . . . . . . . . 14
3.7. Errors and Uncertainties . . . . . . . . . . . . . . . . 15
3.8. Reporting the Metric . . . . . . . . . . . . . . . . . . 15
4. Some Statistics Definitions for One-Way Packet Loss . . . . . 15
4.1. Type-P-One-way-Packet-Loss-Ratio . . . . . . . . . . . . 15
5. Security Considerations . . . . . . . . . . . . . . . . . . . 16
6. Changes from RFC 2680 . . . . . . . . . . . . . . . . . . . . 17
7. References . . . . . . . . . . . . . . . . . . . . . . . . . 19
7.1. Normative References . . . . . . . . . . . . . . . . . . 19
7.2. Informative References . . . . . . . . . . . . . . . . . 20
Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . 21
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 22
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1. Introduction
This memo defines a metric for one-way packet loss across Internet
paths. It builds on notions introduced and discussed in the IPPM
Framework document, [RFC2330]; the reader is assumed to be familiar
with that document and its recent update [RFC7312].
This memo is intended to be parallel in structure to a companion
document for One-way Delay ("A One-Way Delay Metric for IP
Performance Metrics (IPPM)") [RFC7679]; the reader is assumed to be
familiar with that document.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in [RFC2119]. Although
[RFC2119] was written with protocols in mind, the key words are used
in this document for similar reasons. They are used to ensure the
results of measurements from two different implementations are
comparable and to note instances when an implementation could perturb
the network.
Whenever a technical term from the IPPM Framework document is first
used in this memo, it will be tagged with a trailing asterisk. For
example, "term*" indicates that "term" is defined in the Framework
document.
The structure of the memo is as follows:
o A 'singleton*' analytic metric, called Type-P-One-way-Packet-Loss,
is introduced to measure a single observation of packet
transmission or loss.
o Using this singleton metric, a 'sample*' called Type-P-One-way-
Packet-Loss-Poisson-Stream is introduced to measure a sequence of
singleton transmissions and/or losses measured at times taken from
a Poisson process, as defined in Section 11.1.1 of [RFC2330].
o 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.
Almes, et al. Standards Track [Page 4]
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1.1. Motivation
Understanding one-way packet loss of Type-P* packets from a source
host* to a destination host is useful for several reasons:
o Some applications do not perform well (or at all) if end-to-end
loss between hosts is large relative to some threshold value.
o Excessive packet loss may make it difficult to support certain
real-time applications (where the precise threshold of "excessive"
depends on the application).
o The larger the value of packet loss, the more difficult it is for
transport-layer protocols to sustain high bandwidths.
o The sensitivity of real-time applications and of transport-layer
protocols to loss become especially important when very large
delay-bandwidth products must be supported.
The measurement of one-way loss instead of round-trip loss is
motivated by the following factors:
o In today's Internet, the path from a source to a destination may
be different than the path from the destination back to the source
("asymmetric paths"), such that different sequences of routers are
used for the forward and reverse paths. Therefore, round-trip
measurements actually measure the performance of two distinct
paths together. Measuring each path independently highlights the
performance difference between the two paths that may traverse
different Internet service providers and even radically different
types of networks (for example, research versus commodity
networks, or networks with asymmetric link capacities, or wireless
versus wireline access).
o Even when the two paths are symmetric, they may have radically
different performance characteristics due to asymmetric queuing.
o Performance of an application may depend mostly on the performance
in one direction. For example, a TCP-based communication will
experience reduced throughput if congestion occurs in one
direction of its communication. Troubleshooting may be simplified
if the congested direction of TCP transmission can be identified.
o In networks in which quality of service (QoS) is enabled,
provisioning in one direction may be radically different than
provisioning in the reverse direction and thus the QoS guarantees
differ. Measuring the paths independently allows the verification
of both guarantees.
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It is outside the scope of this document to say precisely how loss
metrics would be applied to specific problems.
1.2. General Issues regarding Time
{Comment: The terminology below differs from that defined by ITU-T
documents (e.g., G.810, "Definitions and terminology for
synchronization networks" and I.356, "B-ISDN ATM layer cell transfer
performance") but is consistent with the IPPM Framework document. In
general, these differences derive from the different backgrounds; the
ITU-T documents historically have a telephony origin, while the
authors of this document (and the Framework document) have a computer
systems background. Although the terms defined below have no direct
equivalent in the ITU-T definitions, after our definitions we will
provide a rough mapping. However, note one potential confusion: our
definition of "clock" is the computer operating systems definition
denoting a time-of-day clock, while the ITU-T definition of clock
denotes a frequency reference.}
Whenever a time (i.e., a moment in history) is mentioned here, it is
understood to be measured in seconds (and fractions) relative to UTC.
As described more fully in the Framework document, there are four
distinct, but related notions of clock uncertainty:
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. {Comment: A rough ITU-T equivalent is "time
error".}
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. {Comment:
A rough ITU-T equivalent is "time error from UTC".}
resolution*
is a specification of the smallest unit by which the clock's time is
updated. It gives a lower bound on the clock's uncertainty. 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. {Comment: A very
rough ITU-T equivalent is "sampling period".}
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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, which threatens
accuracy. We might also speak of the skew of one clock relative to
another clock, which threatens synchronization. {Comment: A rough
ITU-T equivalent is "time drift".}
2. A Singleton Definition for One-Way Packet Loss
2.1. Metric Name
Type-P-One-way-Packet-Loss
2.2. Metric Parameters
o Src, the IP address of a host
o Dst, the IP address of a host
o T, a time
o Tmax, a loss threshold waiting time
2.3. Metric Units
The value of a Type-P-One-way-Packet-Loss is either a zero
(signifying successful transmission of the packet) or a one
(signifying loss).
2.4. Definition
>>The *Type-P-One-way-Packet-Loss* from Src to Dst at T is 0<< means
that Src sent the first bit of a Type-P packet to Dst at wire time* T
and that Dst received that packet.
>>The *Type-P-One-way-Packet-Loss* from Src to Dst at T is 1<< means
that Src sent the first bit of a Type-P packet to Dst at wire time T
and that Dst did not receive that packet (within the loss threshold
waiting time, Tmax).
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2.5. Discussion
Thus, Type-P-One-way-Packet-Loss is 0 exactly when Type-P-One-way-
Delay is a finite value, and it is 1 exactly when Type-P-One-way-
Delay is undefined.
The following issues are likely to come up in practice:
o A given methodology will have to include a way to distinguish
between a packet loss and a very large (but finite) delay. As
noted by Mahdavi and Paxson [RFC2678], simple upper bounds (such
as the 255-second theoretical upper bound on the lifetimes of IP
packets [RFC791]) 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, there
may be no harm in treating a large delay as packet loss. An audio
playback packet, for example, that arrives only after the playback
point may as well have been lost. See Section 4.1.1 of [RFC6703]
for examination of unusual packet delays and application
performance estimation.}
o If the packet arrives but is corrupted, then it is counted as
lost. {Comment: One is tempted to count the packet as received
since corruption and packet loss are related but distinct
phenomena. If the IP header is corrupted, however, one cannot be
sure about the source or destination IP addresses and is thus on
shaky grounds about knowing that the corrupted received packet
corresponds to a given sent test packet. Similarly, if other
parts of the packet needed by the methodology to know that the
corrupted received packet corresponds to a given sent test packet,
then such a packet would have to be counted as lost. It would be
inconsistent to count packets with corrupted methodology-specific
fields as lost, and not to count packets with other corrupted
aspects in the same category.} Section 15 of [RFC2330] defines the
"standard-formed" packet that is applicable to all metrics. Note
that at this time the definition of standard-formed packets only
applies to IPv4 (see also [IPPM-UPDATES]).
o 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.
o 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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2.6. 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,
Differentiated Services (DS) Field [RFC2780]).
Generally, for a given Type-P, one possible methodology would proceed
as follows:
o Arrange that Src and Dst have clocks that are synchronized with
each other. The degree of synchronization is a parameter of the
methodology and depends on the threshold used to determine loss
(see below).
o At the Src host, select Src and Dst IP addresses and form a test
packet of Type-P with these addresses.
o At the Dst host, arrange to receive the packet.
o At the Src host, place a timestamp in the prepared Type-P packet,
and send it towards Dst (ideally minimizing time before sending).
o If the packet arrives within a reasonable period of time, the one-
way packet loss is taken to be zero (and take a timestamp as soon
as possible upon the receipt of the packet).
o If the packet fails to arrive within a reasonable period of time,
Tmax, the one-way packet loss is taken to be one. Note that the
threshold of "reasonable" here is a parameter of the metric.
{Comment: The definition of reasonable is intentionally vague and is
intended to indicate a value "Th" so large that any value in the
closed interval [Th-delta, Th+delta] is an equivalent threshold for
loss. Here, delta encompasses all error in clock synchronization and
timestamp acquisition and assignment along the measured path. If
there is a single value, Tmax, after which the packet must be counted
as lost, then we reintroduce the need for a degree of clock
synchronization similar to that needed for one-way delay, and
virtually all practical measurement systems combine methods for delay
and loss. Therefore, if a measure of packet loss parameterized by a
specific non-huge "reasonable" time-out value is needed, one can
always measure one-way delay and see what percentage of packets from
a given stream exceed a given time-out value. This point is examined
in detail in [RFC6703], including analysis preferences to assign
undefined delay to packets that fail to arrive with the difficulties
emerging from the informal "infinite delay" assignment, and an
estimation of an upper bound on waiting time for packets in transit.
Further, enforcing a specific constant waiting time on stored
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singletons of one-way delay is compliant with this specification and
may allow the results to serve more than one reporting audience.}
Issues such as the packet format, 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 the implementation techniques of our work in much
more detail elsewhere; we encourage others to do so as well.}
2.7. Errors and Uncertainties
The description of any specific measurement method should include an
accounting and analysis of various sources of error or uncertainty.
The Framework document provides general guidance on this point.
For loss, there are three sources of error:
o synchronization between clocks on Src and Dst.
o the packet-loss threshold (which is related to the synchronization
between clocks).
o resource limits in the network interface or software on the
receiving instrument.
The first two sources are interrelated and could result in a test
packet with finite delay being reported as lost. Type-P-One-way-
Packet-Loss is 1 if the test packet does not arrive, or if it does
arrive and the difference between the Src timestamp and the Dst
timestamp is greater than the "reasonable period of time" or loss
threshold. If the clocks are not sufficiently synchronized, the loss
threshold may not be "reasonable" - the packet may take much less
time to arrive than its Src timestamp indicates. Similarly, if the
loss threshold is set too low, then many packets may be counted as
lost. The loss threshold must be high enough and the clocks
synchronized well enough so that a packet that arrives is rarely
counted as lost. (See the discussions in the previous two sections.)
Since the sensitivity of packet-loss measurement alone to lack of
clock synchronization is less than for delay, we refer the reader to
the treatment of synchronization errors in the "One-way Delay Metric
for IPPM" [RFC2330] for more details.
The last source of error, resource limits, cause the packet to be
dropped by the measurement instrument and counted as lost when in
fact the network delivered the packet in reasonable time.
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The measurement instruments should be calibrated such that the loss
threshold is reasonable for application of the metrics and the clocks
are synchronized enough so the loss threshold remains reasonable.
In addition, the instruments should be checked to ensure that the
possibility a packet arrives at the network interface but is lost due
to congestion on the interface or to other resource exhaustion (e.g.,
buffers) on the instrument is low.
2.8. Reporting the Metric
The calibration and context in which the metric is measured MUST be
carefully considered and SHOULD always be reported along with metric
results. We now present four items to consider: Type-P of the test
packets, the loss threshold, instrument calibration, and the path
traversed by the test packets. This list is not exhaustive; any
additional information that could be useful in interpreting
applications of the metrics should also be reported (see [RFC6703]
for extensive discussion of reporting considerations for different
audiences).
2.8.1. Type-P
As noted in Section 13 of the Framework document [RFC2330], the value
of the metric may depend on the type of IP packets used to make the
measurement, or "Type-P". The value of Type-P-One-way-Delay could
change if the protocol (UDP or TCP), port number, size, or
arrangement for special treatment (e.g., IP DS Field [RFC2780],
Explicit Congestion Notification (ECN) [RFC3168], or RSVP) changes.
Additional packet distinctions identified in future extensions of the
Type-P definition will apply. The exact Type-P used to make the
measurements MUST be accurately reported.
2.8.2. Loss Threshold
The threshold, Tmax, between a large finite delay and loss (or other
methodology to distinguish between finite delay and loss) MUST be
reported.
2.8.3. Calibration Results
The degree of synchronization between the Src and Dst clocks MUST be
reported. If possible, a test packet that arrives at the Dst network
interface and is reported as lost due to resource exhaustion on Dst
SHOULD be reported.
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2.8.4. Path
Finally, the path traversed by the packet SHOULD be reported, if
possible. In general, it is impractical to know the precise path a
given packet takes through the network. The precise path may be
known for certain Type-P on short or stable paths. If Type-P
includes the record route (or loose-source route) option in the IP
header, and the path is short enough, and all routers* on the path
support record (or loose-source) route, then the path will be
precisely recorded. This is impractical because the route must be
short enough, many routers do not support (or are not configured for)
record route, and use of this feature would often artificially worsen
the performance observed by removing the packet from common-case
processing. However, partial information is still valuable context.
For example, if a host can choose between two links* (and hence, two
separate routes from Src to Dst), then the initial link used is
valuable context. {Comment: Backbone path selection services come and
go. A historical example was Merit's NetNow setup, where a Src on
one Network Access Point (NAP) can reach a Dst on another NAP by
either of several different backbone networks.}
3. A Definition for Samples of One-Way Packet Loss
Given the singleton metric Type-P-One-way-Packet-Loss, 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, 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 pseudorandom
Poisson process of rate lambda, whose values fall between T0 and Tf.
The time interval between successive values of T will then average 1/
lambda.
Note that Poisson sampling is only one way of defining a sample.
Poisson has the advantage of limiting bias, but other methods of
sampling will be appropriate for different situations. For example,
a truncated Poisson distribution may be needed to avoid reactive
network state changes during intervals of inactivity, see Section 4.6
of [RFC7312]. Sometimes the goal is sampling with a known bias, and
[RFC3432] describes a method for periodic sampling with random start
times.
3.1. Metric Name
Type-P-One-way-Packet-Loss-Poisson-Stream
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3.2. Metric Parameters
o Src, the IP address of a host
o Dst, the IP address of a host
o T0, a time
o Tf, a time
o Tmax, a loss threshold waiting time
o lambda, a rate in reciprocal seconds
3.3. Metric Units
A sequence of pairs; the elements of each pair are:
o T, a time, and
o L, either a zero or a one.
The values of T in the sequence are monotonic increasing. Note that
T would be a valid parameter to Type-P-One-way-Packet-Loss and that L
would be a valid value of Type-P-One-way-Packet-Loss.
3.4. Definition
Given T0, Tf, and lambda, we compute a pseudorandom Poisson process
beginning at or before T0, with average arrival rate lambda, and
ending 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
selected times in this process, we obtain one value of Type-P-One-
way-Delay. The value of the sample is the sequence made up of the
resulting <time, loss> pairs. If there are no such pairs, the
sequence is of length zero and the sample is said to be empty.
3.5. Discussion
The reader should be familiar with the in-depth discussion of Poisson
sampling in the Framework document [RFC2330], which includes methods
to compute and verify the pseudorandom Poisson process.
We specifically do not constrain the value of lambda except to note
the extremes. If the rate is too large, then the measurement traffic
will perturb the network and itself cause congestion. If the rate is
too small, then you might not capture interesting network behavior.
{Comment: We expect to document our experiences with, and suggestions
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for, lambda elsewhere, culminating in a "Best Current Practice"
document.}
Since a pseudorandom number sequence is employed, the sequence of
times, and hence the value of the sample, is not fully specified.
Pseudorandom 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. The Poisson process is used
to schedule the loss measurements. The test packets will generally
not arrive at Dst according to a Poisson distribution, since they are
influenced by the network. Time-slotted links described in
Section 3.4 [RFC7312] can greatly modify the sample characteristics.
The main concern is that unbiased packet streams with randomized
inter-packet time intervals will be converted to some new
distribution after encountering a time-slotted link, possibly with
strong periodic characteristics instead.
{Comment: there is, of course, no claim that real Internet traffic
arrives according to a Poisson arrival process.
It is important to note that, in contrast to this metric, loss ratios
observed by transport connections do not reflect unbiased samples.
For example, TCP transmissions both (1) occur in bursts, which can
induce loss due to the burst volume that would not otherwise have
been observed, and (2) adapt their transmission rate in an attempt to
minimize the loss ratio observed by the connection.}
All the singleton Type-P-One-way-Packet-Loss metrics in the sequence
will have the same values of Src, Dst, 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-Packet-Loss-Poisson-Stream
sample.
3.6. Methodologies
The methodologies follow directly from:
o the selection of specific times using the specified Poisson
arrival process, and
o the methodologies discussion already given for the singleton Type-
P-One-way-Packet-Loss metric.
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Care must 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]. Metrics for reordering may be found in
[RFC4737].
3.7. 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 times of the sending of the test packets.
Problems with this process could be caused by several things,
including problems with the pseudorandom number techniques used to
generate the Poisson arrival process. The Framework document shows
how to use the Anderson-Darling test to verify the accuracy of the
Poisson process over small time frames. {Comment: The goal is to
ensure that the test packets are sent "close enough" to a Poisson
schedule and avoid periodic behavior.}
3.8. Reporting the Metric
The calibration and context for the underlying singletons MUST be
reported along with the stream (see "Reporting the Metric"
(Section 2.8) for Type-P-One-way-Packet-Loss).
4. Some Statistics Definitions for One-Way Packet Loss
Given the sample metric Type-P-One-way-Packet-Loss-Poisson-Stream, we
now offer several statistics of that sample. These statistics are
offered mostly to be illustrative of what could be done. See
[RFC6703] for additional discussion of statistics that are relevant
to different audiences.
4.1. Type-P-One-way-Packet-Loss-Ratio
Given a Type-P-One-way-Packet-Loss-Poisson-Stream, the average of all
the L values in the stream is the ratio of losses to total packets in
the stream. In addition, the Type-P-One-way-Packet-Loss-Ratio is
undefined if the sample is empty.
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For example, suppose we take a sample and the results are as follows:
Stream1 = <
<T1, 0>
<T2, 0>
<T3, 1>
<T4, 0>
<T5, 0>
>
Then, the average of loss results would be 0.2, the loss ratio.
Note that, since healthy Internet paths should be operating at loss
ratios below 1% (particularly if high delay-bandwidth products are to
be sustained), the sample sizes needed might be larger than one would
like. Thus, for example, if one wants to discriminate between
various fractions of 1% over one-minute periods, then several hundred
samples per minute might be needed. This would result in larger
values of lambda than one would ordinarily want.
Note that although the loss threshold should be set such that any
errors in loss are not significant, if the possibility that a packet
that arrived is counted as lost due to resource exhaustion is
significant compared to the loss ratio of interest, Type-P-One-way-
Packet-Loss-Ratio will be meaningless.
5. Security Considerations
Conducting Internet measurements raises both security and privacy
concerns. This memo does not specify an implementation of the
metrics, so it does not directly affect the security of the Internet
nor of applications that run on the Internet. However,
implementations of these metrics must be mindful of security and
privacy concerns.
There are two types of security concerns: potential harm caused by
the measurements and potential harm to the measurements. The
measurements could cause harm because they are active and inject
packets into the network. The measurement parameters MUST be
carefully selected so that the measurements inject trivial amounts of
additional traffic into the networks they measure. If they inject
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"too much" traffic, they can skew the results of the measurement and
in extreme cases cause congestion and denial of service.
The measurements themselves could be harmed by routers giving
measurement traffic a different priority than "normal" traffic or by
an attacker injecting artificial measurement traffic. If routers can
recognize measurement traffic and treat it separately, the
measurements will not reflect actual user traffic. If an attacker
injects artificial traffic that is accepted as legitimate, the loss
ratio will be artificially lowered. Therefore, the measurement
methodologies SHOULD include appropriate techniques to reduce the
probability that measurement traffic can be distinguished from
"normal" traffic. Authentication techniques, such as digital
signatures, may be used where appropriate to guard against injected
traffic attacks.
When considering privacy of those involved in measurement or those
whose traffic is measured, the sensitive information available to
potential observers is greatly reduced when using active techniques
that are within this scope of work. Passive observations of user
traffic for measurement purposes raise many privacy issues. We refer
the reader to the privacy considerations described in the Large Scale
Measurement of Broadband Performance (LMAP) Framework [RFC7594],
which covers active and passive techniques.
Collecting measurements or using measurement results for
reconnaissance to assist in subsequent system attacks is quite
common. Access to measurement results or control of the measurement
systems to perform reconnaissance should be guarded against. See
Section 7 of [RFC7594] (the Security Considerations section of the
LMAP Framework) for system requirements that help to avoid
measurement system compromise.
6. Changes from RFC 2680
The text above constitutes a revision to RFC 2680, which is now an
Internet Standard.
[RFC7290] provides the test plan and results supporting [RFC2680]
advancement along the Standards Track, according to the process in
[RFC6576]. The conclusions of [RFC7290] list four minor
modifications for inclusion:
1. Section 6.2.3 of [RFC7290] asserts that the assumption of post-
processing to enforce a constant waiting time threshold is
compliant and that the text of the RFC should be revised slightly
to include this point. The applicability of post-processing was
added in the last list item of Section 2.6, above.
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2. Section 6.5 of [RFC7290] indicates that the Type-P-One-way-
Packet-Loss-Average statistic is more commonly called a Packet
Loss Ratio, so it is renamed in this document (this small
discrepancy does not affect candidacy for advancement). The
renaming was implemented in Section 4.1, above.
3. The IETF has reached consensus on guidance for reporting metrics
in [RFC6703], and the memo is referenced this document to
incorporate recent experience where appropriate. This reference
was added in the last list item of Section 2.6, in Section 2.8,
and in Section 4 above.
4. There are currently two errata with status "Verified" (EID 1528)
and "Held for Document Update" (EID 3186) for [RFC2680], and
these minor revisions were incorporated in Sections 1 and 2.7.
A number of updates to the [RFC2680] text have been implemented in
the text to reference key IPPM RFCs that were approved after
[RFC2680] (see Sections 3 and 3.6, above) and to address comments on
the IPPM mailing list describing current conditions and experience.
1. Near the end of Section 1.1, there is an update of a network
example using ATM, a clarification of TCP's affect on queue
occupation, and discussion of the importance of one-way delay
measurement.
2. Clarification of the definition of "resolution" in Section 1.2.
3. Explicit inclusion of the maximum waiting time input parameter
in Sections 2.2, 2.4, and 3.2, reflecting recognition of this
parameter in more recent RFCs and ITU-T Recommendation Y.1540.
4. Addition of a reference to RFC 6703 in the discussion of packet
lifetime and application timeouts in Section 2.5.
5. Replaced "precedence" with updated terminology (DS Field) in
Sections 2.6 and 2.8.1 (with reference).
6. Added parenthetical guidance on minimizing the interval between
timestamp placement to send time or reception time in
Section 2.6. Also, the text now recognizes the timestamp
acquisition process and that practical systems measure both
delay and loss (thus requiring the max waiting time parameter).
7. Added a reference to RFC 3432 regarding periodic sampling
alongside Poisson sampling in Section 3 and also noted that a
truncated Poisson distribution may be needed with modern
networks as described in the IPPM Framework update [RFC7312].
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8. Recognition that time-slotted links described in [RFC7312] can
greatly modify the sample characteristics, in Section 3.5.
9. Added a reference to RFC 4737 regarding reordering metrics in
the related discussion of Section 3.6, "Methodologies".
10. Expanded and updated the material on privacy and added cautions
on use of measurements for reconnaissance in Section 5,
"Security Considerations".
Section 5.4.4 of [RFC6390] suggests a common template for performance
metrics partially derived from previous IPPM and Benchmarking
Methodology Working Group (BMWG) RFCs, but it also contains some new
items. All of the normative parts of [RFC6390] are covered, but not
quite in the same section names or orientation. Several of the
informative parts are covered. Maintaining the familiar outline of
IPPM literature has value and minimizes unnecessary differences
between this revised RFC and current/future IPPM RFCs.
7. References
7.1. Normative References
[RFC791] Postel, J., "Internet Protocol", STD 5, RFC 791,
DOI 10.17487/RFC0791, September 1981,
<http://www.rfc-editor.org/info/rfc791>.
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<http://www.rfc-editor.org/info/rfc2119>.
[RFC2330] Paxson, V., Almes, G., Mahdavi, J., and M. Mathis,
"Framework for IP Performance Metrics", RFC 2330,
DOI 10.17487/RFC2330, May 1998,
<http://www.rfc-editor.org/info/rfc2330>.
[RFC2678] Mahdavi, J. and V. Paxson, "IPPM Metrics for Measuring
Connectivity", RFC 2678, DOI 10.17487/RFC2678, September
1999, <http://www.rfc-editor.org/info/rfc2678>.
[RFC2680] Almes, G., Kalidindi, S., and M. Zekauskas, "A One-way
Packet Loss Metric for IPPM", RFC 2680,
DOI 10.17487/RFC2680, September 1999,
<http://www.rfc-editor.org/info/rfc2680>.
Almes, et al. Standards Track [Page 19]
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[RFC2780] Bradner, S. and V. Paxson, "IANA Allocation Guidelines For
Values In the Internet Protocol and Related Headers",
BCP 37, RFC 2780, DOI 10.17487/RFC2780, March 2000,
<http://www.rfc-editor.org/info/rfc2780>.
[RFC3432] Raisanen, V., Grotefeld, G., and A. Morton, "Network
performance measurement with periodic streams", RFC 3432,
DOI 10.17487/RFC3432, November 2002,
<http://www.rfc-editor.org/info/rfc3432>.
[RFC6576] Geib, R., Ed., Morton, A., Fardid, R., and A. Steinmitz,
"IP Performance Metrics (IPPM) Standard Advancement
Testing", BCP 176, RFC 6576, DOI 10.17487/RFC6576, March
2012, <http://www.rfc-editor.org/info/rfc6576>.
[RFC7312] Fabini, J. and A. Morton, "Advanced Stream and Sampling
Framework for IP Performance Metrics (IPPM)", RFC 7312,
DOI 10.17487/RFC7312, August 2014,
<http://www.rfc-editor.org/info/rfc7312>.
[RFC7679] Almes, G., Kalidindi, S., Zekauskas, M., and A. Morton,
Ed., "A One-Way Delay Metric for IP Performance Metrics
(IPPM)", STD 81, RFC 7679, DOI 10.17487/RFC7679, January
2016, <http://www.rfc-editor.org/info/rfc7679>.
7.2. Informative References
[IPPM-UPDATES]
Morton, A., Fabini, J., Elkins, N., Ackermann, M., and V.
Hegde, "Updates for IPPM's Active Metric Framework:
Packets of Type-P and Standard-Formed Packets", Work in
Progress, draft-morton-ippm-2330-stdform-typep-02,
December 2015.
[RFC3168] Ramakrishnan, K., Floyd, S., and D. Black, "The Addition
of Explicit Congestion Notification (ECN) to IP",
RFC 3168, DOI 10.17487/RFC3168, September 2001,
<http://www.rfc-editor.org/info/rfc3168>.
[RFC4737] Morton, A., Ciavattone, L., Ramachandran, G., Shalunov,
S., and J. Perser, "Packet Reordering Metrics", RFC 4737,
DOI 10.17487/RFC4737, November 2006,
<http://www.rfc-editor.org/info/rfc4737>.
[RFC6390] Clark, A. and B. Claise, "Guidelines for Considering New
Performance Metric Development", BCP 170, RFC 6390,
DOI 10.17487/RFC6390, October 2011,
<http://www.rfc-editor.org/info/rfc6390>.
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[RFC6703] Morton, A., Ramachandran, G., and G. Maguluri, "Reporting
IP Network Performance Metrics: Different Points of View",
RFC 6703, DOI 10.17487/RFC6703, August 2012,
<http://www.rfc-editor.org/info/rfc6703>.
[RFC7290] Ciavattone, L., Geib, R., Morton, A., and M. Wieser, "Test
Plan and Results for Advancing RFC 2680 on the Standards
Track", RFC 7290, DOI 10.17487/RFC7290, July 2014,
<http://www.rfc-editor.org/info/rfc7290>.
[RFC7594] Eardley, P., Morton, A., Bagnulo, M., Burbridge, T.,
Aitken, P., and A. Akhter, "A Framework for Large-Scale
Measurement of Broadband Performance (LMAP)", RFC 7594,
DOI 10.17487/RFC7594, September 2015,
<http://www.rfc-editor.org/info/rfc7594>.
Acknowledgements
For [RFC2680], thanks are due to Matt Mathis for encouraging this
work and for calling attention on so many occasions to the
significance of packet loss. Thanks are due also to Vern Paxson for
his valuable comments on early drafts and to Garry Couch and Will
Leland for several useful suggestions.
For this document, thanks to Joachim Fabini, Ruediger Geib, Nalini
Elkins, and Barry Constantine for sharing their measurement
experience as part of their careful reviews. Brian Carpenter and
Scott Bradner provided useful feedback at IETF Last Call.
Almes, et al. Standards Track [Page 21]
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Authors' Addresses
Guy Almes
Texas A&M
Email: almes@acm.org
Sunil Kalidindi
Ixia
Email: skalidindi@ixiacom.com
Matt Zekauskas
Internet2
Email: matt@internet2.edu
Al Morton (editor)
AT&T Labs
200 Laurel Avenue South
Middletown, NJ 07748
United States
Phone: +1 732 420 1571
Fax: +1 732 368 1192
Email: acmorton@att.com
URI: http://home.comcast.net/~acmacm/
Almes, et al. Standards Track [Page 22]
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