One document matched: draft-hayes-rmcat-sbd-00.xml


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<rfc category="exp" docName="draft-hayes-rmcat-sbd-00" ipr="trust200902">
  <!-- category values: std, bcp, info, exp, and historic
       ipr values: full3667, noModification3667, noDerivatives3667
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  <!-- ***** FRONT MATTER ***** -->
  
  <front>
    <!-- The abbreviated title is used in the page header - it is only necessary if the 
         full title is longer than 39 characters -->
    
    <title abbrev="SBD for CCC with RTP Media">
      Shared Bottleneck Detection for Coupled Congestion Control for
      RTP Media.
    </title>
    
    <!-- add 'role="editor"' below for the editors if appropriate -->
    
    <!-- Another author who claims to be an editor -->
    
    <author fullname="David Hayes" initials="D.A." role="editor"
            surname="Hayes">
      <organization>University of Oslo</organization>
      <address>
        <postal>
          <street>PO Box 1080 Blindern</street>
          <city>Oslo</city>
          <region></region>
          <code>N-0316</code>
          <country>Norway</country>
        </postal>
        <phone>+47 2284 5566</phone>
        <email>davihay@ifi.uio.no</email>
      </address>
    </author>
    <author fullname="Simone Ferlin" initials="S."
            surname="Ferlin">
      <organization>Simula Research Laboratory</organization>
      <address>
        <postal>
          <street>P.O.Box 134</street>
          <city>Lysaker</city>
          <region></region>
          <code>1325</code>
          <country>Norway</country>
        </postal>
        <phone>+47 4072 0702</phone>
        <email>ferlin@simula.no</email>
      </address>
    </author>
    <author fullname="Michael Welzl" initials="M."
            surname="Welzl">
      <organization>University of Oslo</organization>
      <address>
        <postal>
          <street>PO Box 1080 Blindern</street>
          <city>Oslo</city>
          <region></region>
          <code>N-0316</code>
          <country>Norway</country>
        </postal>
        <phone>+47 2285 2420</phone>
        <email>michawe@ifi.uio.no</email>
      </address>
    </author>

    <date month="October" year="2014" />

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	 purpose of calculating the expiry date).  With drafts it is normally sufficient to 
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    <!-- Meta-data Declarations -->

    <area>General</area>

    <workgroup>RTP Media Congestion Avoidance Techniques</workgroup>

    <!-- WG name at the upperleft corner of the doc,
         IETF is fine for individual submissions.  
	 If this element is not present, the default is "Network Working Group",
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    <keyword>SBD</keyword>

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    <abstract>
      <t>This document describes a mechanism to detect whether
      end-to-end data flows
      share a common bottleneck. It relies on summary statistics that are calculated by
      a data receiver based on continuous measurements and regularly fed to a grouping algorithm that
      runs wherever the knowledge is needed. This mechanism complements the coupled congestion
      control mechanism in draft-welzl-rmcat-coupled-cc.</t>
    </abstract>
  </front>

  <middle>
 
    <section title="Introduction">
      <t>In the Internet, it is not normally known if flows (e.g., TCP connections or UDP data streams)
      traverse the same bottlenecks. Even flows that have the same sender and receiver may take
      different paths and share a bottleneck or not. Flows that share a bottleneck link usually
      compete with one another for their share of the capacity. This competition has the potential
      to increase packet loss and delays. This is especially relevant for interactive applications
      that communicate simultaneously with multiple peers (such as multi-party video). For RTP
      media applications such as RTCWEB, <xref target="I-D.welzl-rmcat-coupled-cc"></xref> describes
      a scheme that combines
      the congestion controllers of flows in order to honor their priorities and avoid unnecessary
      packet loss as well as delay.
      This mechanism relies on some form of Shared Bottleneck Detection (SBD); here, a
      measurement-based SBD approach is described.</t>


	<section title="The signals">
	  <t>The current Internet is unable to explicitly inform
	  endpoints as to which flows share bottlenecks, so endpoints
	  need to infer this from packet loss and packet delay.</t>

	  <section title="Packet Loss">
	    <t>Packet loss is often a relatively rare
	    signal. Therefore, on its own it is of limited use for
	    SBD, however, it is a valuable supplementary measure when
	    it is more prevalent.</t>
	  </section>

	  <section title="Packet Delay">
	    <t>End-to-end delay measurements include noise from every
	    device along the path in addition to the delay
	    perturbation at the bottleneck device. The noise is
	    often significantly increased if the round-trip time is used. The
	    cleanest signal is obtained by using One-Way-Delay
	    (OWD).</t>

	    <t>Measuring absolute OWD is difficult since it
	    requires both the sender and receiver clocks to be
	    synchronised. However, since the statistics being
	    collected are relative to the mean OWD, a relative OWD
	    measurement is sufficient. Clock drift is not usually
	    significant over the time intervals used by this SBD
	    mechanism (see <xref target="RFC6817"/> A.2 for a
	    discussion on clock drift and OWD measurements).</t>

	    <t>Each packet arriving at the bottleneck buffer may
	    experience very different queue lengths, and therefore
	    waiting times. A single OWD sample does therefore not
	    characterize the actual OWD of a path well. However,
	    multiple OWD measurements do reflect the distribution of
	    delays experienced at the bottleneck.</t>
	  </section>
	
	  <section title="Path Lag">
	    <t>Flows that share a common bottleneck may traverse
	    different paths, and these paths will often have different
	    base delays. This makes it difficult to correlate changes
	    in delay or loss. This technique uses the long term shape
	    of the delay distribution as a base for comparison to
	    counter this.</t>
	  </section>
	</section>
    </section>
      
    <section anchor="Definitions" title="Definitions">
      <t>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 <xref
      target="RFC2119">RFC 2119</xref>.</t>

      <t>Acronyms used in this document:
      <list hangIndent="10" style="hanging">
	<t hangText="   OWD --"> One Way Delay</t>
	<t hangText="   RTT --"> Round Trip Time</t>
	<t hangText="   SBD --"> Shared Bottleneck Detection</t>
      </list></t>

      <t>Conventions used in this document:
      <list hangIndent="16" style="hanging">
	<t hangText="   T     --"> the base time interval over which measurements
	are made.</t>
	<t hangText="   N     --"> the number of base time, T, intervals
	used in some calculations.</t>
	<t hangText="   sum_T(...) --">  summation of all the
	measurements of the variable in parentheses taken over the
	interval T</t>
	<t hangText="   sum_N(...) --">  summation of N terms of the variable in parentheses</t>
	<t hangText="   sum_NT(...) --">  summation of all
	measurements taken over the interval N*T</t>
	<t hangText="   E_T(...) --">  the expectation or mean of the
	measurements of the variable in parentheses over T</t>
	<t hangText="   E_N(...) --">  The expectation or mean of the last N values of
	the variable in parentheses</t>
	<t hangText="   max_T(...) --"> the maximum recorded measurement
	of the variable in parentheses taken over the interval T</t>
	<t hangText="   p_l, p_f, p_pdf, p_s, p_d, p_v --"> various
	thresholds used in the mechanism.</t>
      </list></t>

      <section anchor="lcn-parameters" title="Parameter Values">
	  <t>Reference <xref target="Hayes-LCN14"/> uses T=350ms,
	  N=50, p_l = 0.1,
	  p_f = 0.2, p_pdf = 0.3, p_s = p_d = p_v = 0.2.  These are
	  values that seem to work well over a wide range of practical
	  Internet conditions.</t>
      </section>
      
    </section>


    <section anchor="Mechanism" title="Mechanism">
      <t>The mechanism described in this document is based on the
      observation that the delay measurements of flows that share a
      common bottleneck have similar shape characteristics. The
      shape of these characteristics are described using 3 key summary
      statistics:
      <list style="hanging">
          <t>variance (estimate PDV, see <xref target="sbd_varest"/>)</t>
          <t>skewness (estimate skewest, see <xref target="sbd_skewest"/>)</t>
	  <t>oscillation (estimate freqest, see <xref target="sbd_freqest"/>)</t>
      </list></t>
      
      <t>Summary statistics help to address both the noise and the
      path lag problems by describing the general shape over a
      relatively long period of time. This is sufficient for their
      application in coupled congestion control for RTP Media. They
      can be signalled from a receiver, which measures the OWD and calculates
      the summary statistics, to a sender, which is the entity that is transmitting
      the media stream. An RTP Media device may
     be both a sender and a receiver. SBD can be performed at both the
     Sender and the Receiver.</t>

           <figure align="center" anchor="sbd-topo">
         <!-- <preamble>Preamble text - can be omitted or empty.</preamble> -->

        <artwork align="left"><![CDATA[
                               +----+
                               | H2 |
                               +----+
                                  |
                                  | L2
                                  |
                      +----+  L1  |  L3  +----+
                      | H1 |------|------| H3 |
                      +----+             +----+
            ]]></artwork>

        <postamble>A network with 3 hosts (H1, H2, H3) and 3 links (L1, L2, L3).</postamble>
      </figure>

      <t>In <xref target="sbd-topo" />, there are two possible cases
      for shared bottleneck detection: a sender-based and a
      receiver-based case.
      <list style="numbers">
	<t>
	  Sender-based: consider a situation where host H1 sends media
	  streams to hosts H2 and H3, and L1 is a shared bottleneck.
	  H2 and H3 measure the OWD and calculate summary statistics,
	  which they send to H1 every T. H1, having this knowledge,
	  can determine the shared bottleneck and accordingly control
	  the send rates.</t>

	  <t>Receiver-based: consider that H2 is also sending media to
	  H3, and L3 is a shared bottleneck. If H3 sends summary
	  statistics to H1 and H2, neither H1 nor H2 alone obtain
	  enough knowledge to detect this shared bottleneck; H3 can
	  however determine it by combining the summary statistics
	  related to H1 and H2, respectively. This case is applicable
	  when send rates are controlled by the receiver; then, the
	  signal from H3 to the senders contains the sending rate.</t>
      </list></t>

      <t>A discussion of the required signaling for the receiver-based
      case is beyond the scope of this document. For the sender-based
      case, the messages and their data format will be defined here in
      future versions of this document. We envision that an
      initialization message from the sender to the receiver could
      specify which key metrics are requested out of a possibly
      extensible set (losscnt, PDV, skewest, freqest).
      The grouping algorithm described in this
      document requires all four of these metrics, and receivers MUST be
      able to provide them, 
      but future algorithms may be able to exploit other metrics
      (e.g. metrics based on explicit network signals).
      Moreover, the initialization message could
      specify T, N, and the necessary resolution and precision (number of bits
      per field).
      </t>        



     

      <section anchor="sbd-metrics" title="Key metrics and their calculation">

	<t>Measurements are calculated over a base interval,
	T. T should be long enough to provide enough samples
	for a good estimate of skewness, but short enough so that
	a measure of the oscillation can be made from N of these
	estimates. Reference <xref target="Hayes-LCN14"/>
	uses T = 350ms and N = 50,
	which are values that seem to work well over a wide range
	of practical Internet conditions.</t>

	<section title="Mean delay">

	  <t>The mean delay is not a useful signal for comparisons,
	  however, it is a base measure for the 3 summary
	  statistics. The mean delay, E_T(OWD), is the average one
	  way delay measured over T.</t>
	  
	  <?rfc needLines="6" ?>
	  <t>To facilitate the other calculations, the last N
	  E_T(OWD) values will need to be stored in a cyclic buffer
	  along with the moving
	  average of E_T(OWD):
	  <list style="hanging">
	    <t>E_N(E_T(OWD)) = sum_N(E_T(OWD)) / N</t>
	  </list>
	  </t>
	</section>
	
	<section anchor="sbd_skewest" title="Skewness Estimate">
	  <t>Skewness is difficult to calculate efficiently and
	  accurately. Ideally it should be calculated over the entire
	  measurement for the entire period (N * T), however this
	  would require storing every delay measurement over the
	  period. Instead, an estimate is made over T using the
	  previous calculation of E_T(OWD). Comparisons are made
	  using the mean of N skew estimates.</t>

	  <t>The skewness is estimated using two counters, counting
	  the number of one way delay samples above and below the
	  mean:
	  <list style="hanging">
	    <t>  skewest = (sum_T(OWD < E_T(OWD)) - sum_T(OWD > E_T(OWD)))/num(OWD)
	    <list style="hanging">
	      <t> where
	      <list style="hanging">
		<t>if (OWD < E_T(OWD)) 1 else 0</t>
		<t>if (OWD > E_T(OWD)) 1 else 0</t>
	      </list></t>
	      <t>skewest is a number between -1 and 1</t>
	    </list></t>
	    <t>E_N(skewest) = sum_N(skewest) /N</t>
	  </list>
	  For implementation ease, E_T(OWD) is the mean delay of the previous
	  T interval. Care must be taken when implementing the
	  comparisons to ensure that rounding does not bias
	  skewest.</t>
	</section>

	<section anchor="sbd_varest" title="Variance Estimate">
	  <t>Packet Delay Variation (PDV) (<xref target="RFC5481"/>
	  and <xref target="ITU-Y1540"/>
	  is used as an estimator of
	  the variance of the delay signal. We define PDV
	  as follows:
	  <list style="hanging">
	    <t>PDV = (max(OWD) - E_T(OWD))</t>
	    <t>E_N(PDV) = sum_N(PDV) /N</t>
	  </list>
	  This modifies PDV as outlined in <xref target="RFC5481"/>
	  to provide a summary statistic version that best
	  aids the grouping decisions of the algorithm (see <xref
	  target="Hayes-LCN14"/> section IVB).</t>
	</section>

	<section anchor="sbd_freqest" title="Oscilation Estimate">
	  <t>An estimate of the low frequency oscillation of the delay
	  signal is calculated by counting and normalising the significant mean,
	  E_T(OWD), crossings of E_N(E_T(OWD)):
	  <list style="hanging">
	    <t> freqest = number_of_crossings / N</t>
	    <t> Where
	    <list style="hanging">
	      <t> we define a significant mean crossing as a crossing
	      that extends p_v * E_N(PDV) from E_N(E_T(OWD)). In our
	      experiments we have found that p_v = 0.2 is a good
	      value.</t>
	    </list></t>
	  </list>
	  Freqest is a number between 0 and 1. Freqest and
	  can be approximated incrementally as follows:
	  <list style="hanging">
	    <t> With each new calculation of E_T(OWD) a decision is
	    made as to whether this value of E_T(OWD) significantly
	    crosses the current long term mean, E_N(E_T(OWD), with respect to
	    the previous significant mean crossing.</t>
	    
	    <t>A cyclic buffer, last_N_crossings, records a 1 if there is a significant
	    mean crossing, otherwise a 0.</t>

	    <t>The counter, number_of_crossings, is incremented when there
	    is a significant mean crossing and subtracted from when a
	    non zero value is removed from the last_N_crossings.</t>

	  </list>
	  This approximation of freqest was not used in <xref
	  target="Hayes-LCN14"/>, which calculated freqest every T
	  using the current E_N(E_T(OWD)). Our tests show that
	  this approximation of freqest yields results that are almost
	  identical to when the full calculation is performed every T.</t>


	</section>

	<section title="Packet loss">
	  <t>The proportion of packets lost is used as a supplementary
	  measure:
	  <list style="hanging">
	    <t>PL_NT = sum_NT(lost packets) / sum_NT(total
	    packets)</t>
	  </list></t>
	</section>
      </section>
      
      
      <section title="Flow Grouping">
	<section title="Flow Grouping Algorithm">
	  <t>The following grouping algorithm is RECOMMENDED for SBD
	  in this context and is sufficient and efficient for small to
	  moderate numbers of flows. For very large numbers of flows,
	  hundreds, a more complex clustering algorithm may be
	  substituted.</t>
	  
	  <t>Flows determined to be experiencing congestion are
	  successively divided into groups based on freqest, PDV, and
	  skewest.</t>
	  
          <t>The first step is to determine which flows are
          experiencing congestion. This is important, since if a flow
          is not experiencing congestion its delay based metrics will
          not describe the bottleneck, but the "noise" from the rest
          of the path. Skewness, with proportion of packets loss as a
          supplementary measure, is used to do this:
	  <list counter="grouping" style="format %d.">
	    <t>Grouping will be performed on flows where:
	    <list style="hanging">
	      <t>E_N(skewest) < 0 || PL_NT > p_l.</t>
	    </list></t>
	  </list></t>
	  
	  <t>These flows, flows experiencing congestion, are then
	  progressively divided into groups based on the freqest, PDV,
	  and skewest summary statistics. The process proceeds
	  according to the following steps:
	  <list counter="grouping" style="format %d." >
	    <t>Group flows whose difference in sorted freqest is less than a
	    threshold:
	    <list style="hanging">
	      <t> diff(freqest) <  p_f</t>
	    </list></t>
	    <t>Group flows whose difference in sorted E_N(PDV) is less than a
	    threshold:
	    <list style="hanging">
	      <t> diff(E_N(PDV)) <  (p_pdv * E_N(PDV)) </t>
	    </list></t>
            <t>Group flows whose difference in sorted E_N(skewest) or
            PL_NT is less than a threshold:
	    <list style="hanging">
	      <t> if PL_NT < p_l
	      <list style="hanging">
		<t>diff(E_N(skewness)) <  p_s </t>
	      </list></t>
	      <t>otherwise
	      <list style="hanging">
		<t>diff(PL_NT) <  p_d </t>
	      </list></t>
	    </list></t>
	  </list></t>
	  
	  <t>This procedure involves sorting the groups, according to
	  the measure being used to divide them. It is simple to
	  implement, and efficient for small numbers of flows, such as
	  are expected in RTCWEB.</t>

	</section>
	<section title="Using the flow group signal">
	  <t>A grouping decisions is made every T. Network
	  conditions can cause bottlenecks to fluctuate. A coupled
	  congestion controller MAY decide only to couple groups that
	  remain stable, say grouped together 90% of the time,
	  depending on its objectives. Recommendations concerning this are
	  beyond the scope of this draft and will be specific to the
	  coupled congestion controllers objectives.</t>
	</section>
      </section>
    </section>

      
    <section title="Measuring OWD">

     <t>This section discusses the OWD measurements required for this
     algorithm to detect shared bottlenecks.
     </t>

     <t>The SBD mechanism described in
     this draft relies on differences between OWD measurements to avoid the
     practical problems with measuring absolute OWD (see <xref
     target="Hayes-LCN14"/> section IIIC). Since all summary statistics are
     relative to the mean OWD and sender/receiver clock offsets
     are approximately constant over the measurement periods, the
     offset is subtracted out in the calculation.</t> 
     
     <section title="Time stamp resolution">
       <t>The SBD mechanism requires timing information precise enough
       to be able to make comparisons. As a rule of thumb, the time
       resolution should be less than one hundredth of a typical paths range
       of delays. In general, the lower the time resolution, the more
       care that needs to be taken to ensure rounding errors don't bias the
       skewness calculation.</t>

       <t>Typical RTP media flows use sub-millisecond timers,
       which should be adequate in most situations.</t>
     </section>

<!--
     <section title="System Timers">
       <t>DavidH: possibly to be included as a guide in a subsequent
       iteration, though probably not the TCP part.</t>

       <t>
	 The following remarks discuss system timers, and may help in
	 some implementation scenarios where available timer
	 granularity could influence where in the system SBD is
	 performed.
       </t>
       
       <t>
	 For an implementation of SBD in kernel-space
	 the system's timestamp resolution is of importance: Earlier systems have the
	 accuracy of the timestamps given by the resolution of the clock mantained by
	 the kernel in jiffy, also called system's kernel tick, given by HZ or hz variables.
	 And the jiffy length is determined by the system's kernel tick. Newer Linux
	 systems have the kernel tick set by default to 250, sometimes also to 1000.
	 Newer FreeBSD systems have the kernel tick set 1000 by default.
	 Thus, yelding to jiffies of 4 or maximum of 1 ms. For the implementer of SBD
	 using the system's time resolution the size of one jiffy is relevant. Larger jiffy
	 values allow for better timer granularity and resolution, however, it comes at
	 the cost of more CPU cycles.
	 In newer systems, other timing source is the high-resolution kernel timer
	 introduced for sub-jiffy granularity. However, this is yet not supported in 
	 all hardware architectures and, thus, it is recommended to the
	 implementer of SBD to first test its support and usability.
       </t>
     
       <t>
	 In particular for applications running on top of TCP, the implementer
	 of SBD could make use of the TCP-TS option, in similar way to LEDBAT, to get
	 OWD sample measurements. However, the TCP timestamp option does not
	 ensure higher resolution because it relies on the kernel jiffy length.
	 For an application sending enough traffic, the TCP-TS is updated at maximum
	 of 1 ms for a system's jiffy length of 1000. Also, the TCP-TS option is limited
	 to two four-byte fields, which also does not guarantee finer than millisecond
	 granularity.
	 
	 Alternatively, reliable OWD samples can be also generate inside the
	 application itself and written into the packet's payload. The implementer of
	 SBD has to decide the necessary granurality given at this level by the amount
	 of data generated and the application's run-time performance.
       </t>
       
       <t>
	 In general, the implementer has to decide which granularity for SBD is necessary
	 depending on its application scenario. If the time granularity of SBD is limited to
	 a jiffy length and, thus, not higher than milliseconds, the OWD of the underlying
	 network path should also not be less than milliseconds. This would cause loss in
	 time precision and the SBD mechanism is unable to detect OWD oscillation, usually
	 represented by changes in the OWD's sample lowest bits. 
       </t>
     </section>
     
-->
     </section>
<!--    
    <section title="Networks and Parameter Settings">
      <t>short discussion as to what parameters might be good, say for
      data centers.</t>
    </section>

-->
 
    <section anchor="Acknowledgements" title="Acknowledgements">
      <t>This work was part-funded by the European Community under its
      Seventh Framework Programme through the Reducing Internet
      Transport Latency (RITE) project (ICT-317700). The views
      expressed are solely those of the authors. </t>

    </section>

    <!-- Possibly a 'Contributors' section ... -->

    <section anchor="IANA" title="IANA Considerations">
      <t>This memo includes no request to IANA.</t>

      <!--
      <t>All drafts are required to have an IANA considerations section (see
      <xref target="I-D.narten-iana-considerations-rfc2434bis">the update of
      RFC 2434</xref> for a guide). If the draft does not require IANA to do
      anything, the section contains an explicit statement that this is the
      case (as above). If there are no requirements for IANA, the section will
      be removed during conversion into an RFC by the RFC Editor.</t>
      -->
    </section>

    <section anchor="Security" title="Security Considerations">

      <t>The security considerations of <xref target="RFC3550">RFC
      3550</xref>, <xref target="RFC4585">RFC 4585</xref>, and <xref
      target="RFC5124">RFC 5124</xref> are
      expected to apply.</t>
      
      <t>Non-authenticated RTCP packets carrying shared bottleneck indications and summary
      statistics could attackers to alter the bottleneck sharing
      characteristics for private gain or disruption of other parties
      communication.</t>
    </section>
  </middle>

  <!--  *****BACK MATTER ***** -->

  <back>
    <!-- References split into informative and normative -->

    <!-- There are 2 ways to insert reference entries from the citation libraries:
     1. define an ENTITY at the top, and use "ampersand character"RFC2629; here (as shown)
     2. simply use a PI "less than character"?rfc include="reference.RFC.2119.xml"?> here
        (for I-Ds: include="reference.I-D.narten-iana-considerations-rfc2434bis.xml")

     Both are cited textually in the same manner: by using xref elements.
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     directory as the including file. You can also define the XML_LIBRARY environment variable
     with a value containing a set of directories to search.  These can be either in the local
     filing system or remote ones accessed by http (http://domain/dir/... ).-->

    <references title="Normative References">

      &RFC2119;

      <!-- the following is the minimum to make xml2rfc happy -->
      <!--
      <reference anchor="min_ref">
        <front>
          <title>Minimal Reference</title>

          <author initials="authInitials" surname="authSurName">
            <organization></organization>
          </author>

          <date year="2006" />
        </front>
      </reference> -->
    </references> 

    <references title="Informative References">
      <!-- Here we use entities that we defined at the beginning. -->


      &RFC3550;

      &RFC4585;

      &RFC5124;

      &RFC5481;

      &RFC6817;

      &I-D.welzl-rmcat-coupled-cc;

      <!-- A reference written by by an organization not a person. -->

      <reference anchor="Hayes-LCN14"
                 target="http://heim.ifi.uio.no/davihay/hayes14__pract_passiv_shared_bottl_detec-abstract.html">
        <front>
          <title>Practical Passive Shared Bottleneck Detection using Shape
	Summary Statistics</title>

          <author initials="D. A." surname="Hayes">
            <organization>University of Oslo</organization>
          </author>
          <author initials="S." surname="Ferlin">
            <organization>Simula Research Laboratory</organization>
          </author>
          <author initials="M." surname="Welzl">
            <organization>University of Oslo</organization>
          </author>
          <date year="2014" month="September"/>
        </front>
	  <seriesInfo name="Proc. the IEEE Local Computer Networks
			    (LCN)" value="p150-158"/>
      </reference>

      <reference anchor="ITU-Y1540"
                 target="http://www.itu.int/rec/T-REC-Y.1540-201103-I/en">
        <front>
          <title>Internet protocol data communication service - IP
          packet transfer and availability performance
          parameters</title>

          <author>
            <organization>ITU-T</organization>
          </author>
          <date year="2011" month="March"/>
        </front>
	  <seriesInfo name="Series Y: Global Information
			    Infrastructure, Internet Protocol Aspects
			    and Next-Generation Networks" value=""/>
      </reference>
    </references>

<!-- <reference anchor="DOMINATION"
     target="http://www.example.com/dominator.html"> <front>
     <title>Ultimate Plan for Taking Over the World</title>

          <author>
            <organization>Mad Dominators, Inc.</organization>
          </author>

          <date year="1984" />
        </front>
      </reference> -->


<!--     <section anchor="app-additional" title="Additional Stuff">
      <t>This becomes an Appendix.</t>
    </section> -->

  </back>
</rfc>

PAFTECH AB 2003-20262026-04-24 04:23:34