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<rfc xmlns:xi="http://www.w3.org/2001/XInclude" ipr="trust200902" docName="draft-ietf-tsvwg-fq-pie-01" category="exp" consensus="true" submissionType="IETF" tocInclude="true" sortRefs="true" symRefs="true" version="3">
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  <front>
    <title abbrev="FQ-PIE">Flow Queue PIE: A Hybrid Packet Scheduler and Active Queue Management Algorithm</title>
    <seriesInfo name="Internet-Draft" value="draft-ietf-tsvwg-fq-pie-01"/>
    <author initials="M. P." surname="Tahiliani" fullname="Mohit P. Tahiliani">
      <organization>National Institute of Technology Karnataka</organization>
      <address>
        <postal>
          <street>P. O. Srinivasnagar, Surathkal</street>
          <city>Mangalore, Karnataka - 575025</city>
          <country>India</country>
        </postal>
        <email>tahiliani@nitk.edu.in</email>
        <uri>http://tahiliani.in</uri>
      </address>
    </author>
    <date year="2026" month="March" day="02"/>
    <area>Web and Internet Transport</area>
    <workgroup>Transport and Services Working Group</workgroup>
    <keyword>next generation</keyword>
    <keyword>unicorn</keyword>
    <keyword>sparkling distributed ledger</keyword>
    <abstract>
      <?line 78?>

<t>This document presents Flow Queue Proportional Integral controller Enhanced (FQ-PIE), a hybrid packet scheduler and Active Queue Management (AQM) algorithm to isolate flows and tackle the problem of bufferbloat. FQ-PIE uses hashing to classify incoming packets into different queues and provide flow isolation. Packets are dequeued by using a variant of the round robin scheduler. Each such flow is managed by the PIE algorithm to maintain high link utilization while controlling the queue delay to a target value.</t>
    </abstract>
    <note removeInRFC="true">
      <name>About This Document</name>
      <t>
        The latest revision of this draft can be found at <eref target="https://mohittahiliani.github.io/draft-ietf-tsvwg-fq-pie/draft-ietf-tsvwg-fq-pie.html"/>.
        Status information for this document may be found at <eref target="https://datatracker.ietf.org/doc/draft-ietf-tsvwg-fq-pie/"/>.
      </t>
      <t>
        Discussion of this document takes place on the
        Transport and Services Working Group Working Group mailing list (<eref target="mailto:tsvwg@ietf.org"/>),
        which is archived at <eref target="https://mailarchive.ietf.org/arch/browse/tsvwg/"/>.
        Subscribe at <eref target="https://www.ietf.org/mailman/listinfo/tsvwg/"/>.
      </t>
      <t>Source for this draft and an issue tracker can be found at
        <eref target="https://github.com/mohittahiliani/draft-ietf-tsvwg-fq-pie"/>.</t>
    </note>
  </front>
  <middle>
    <?line 82?>

<section anchor="introduction">
      <name>Introduction</name>
      <t>Flow Queue Proportional Integral Controller Enhanced (FQ-PIE) combines flow queuing with the PIE (Proportional Integral controller Enhanced) <xref target="RFC8033"/> Active Queue Management (AQM) algorithm to provide flow isolation and reduce bufferbloat by controlling queue delay. This is similar to how Flow Queue Controlled Delay (FQ-CoDel) <xref target="RFC8290"/> integrates flow queuing with the CoDel (Controlled Delay) AQM algorithm <xref target="RFC8289"/>.</t>
      <t>When a packet is enqueued, it is classified into different queues to ensure isolation between flows. While the goal of flow queuing is to assign a unique queue to each flow, flows can instead be hashed into a set of buckets using a hash function, where each bucket corresponds to its own queue. The PIE AQM operates independently on each of these queues, enabling each flow to receive appropriate congestion signals either implicitly (via packet drops) or explicitly (via mechanisms such as Explicit Congestion Notification (ECN) <xref target="RFC3168"/>). For dequeuing, FQ-PIE employs the Deficit Round Robin (DRR) based scheduler described in <xref target="RFC8290"/>, which ensures fair packet scheduling across the different queues.</t>
      <t>An implementation of FQ-PIE has been incorporated into the mainline Linux kernel as a queuing discipline (qdisc) <xref target="LINUX-FQ-PIE"/> and is supported by several Linux distributions. Another implementation has also been incorporated into FreeBSD <xref target="FREEBSD-FQ-PIE"/>. Finally, an implementation of FQ-PIE is also available in the ns-3 network simulator <xref target="ns-3-FQ-PIE"/>.</t>
    </section>
    <section anchor="terminology">
      <name>Terminology</name>
      <t>This document uses the terms defined in Section 1.1 of <xref target="RFC8290"/> and Sections 4 and 5 of <xref target="RFC8033"/>.</t>
    </section>
    <section anchor="conventions-and-definitions">
      <name>Conventions and Definitions</name>
      <t>The key words "<bcp14>MUST</bcp14>", "<bcp14>MUST NOT</bcp14>", "<bcp14>REQUIRED</bcp14>", "<bcp14>SHALL</bcp14>", "<bcp14>SHALL
NOT</bcp14>", "<bcp14>SHOULD</bcp14>", "<bcp14>SHOULD NOT</bcp14>", "<bcp14>RECOMMENDED</bcp14>", "<bcp14>NOT RECOMMENDED</bcp14>",
"<bcp14>MAY</bcp14>", and "<bcp14>OPTIONAL</bcp14>" in this document are to be interpreted as
described in BCP 14 <xref target="RFC2119"/> <xref target="RFC8174"/> when, and only when, they
appear in all capitals, as shown here.</t>
      <?line -18?>

</section>
    <section anchor="the-fq-pie-algorithm">
      <name>The FQ-PIE Algorithm</name>
      <t>The FQ-PIE algorithm consists of two main components: (i) flow queuing, which isolates competing flows by treating flows that build queues differently from those that do not, and (ii) the PIE AQM algorithm, which manages each queue and maintains a target queue delay (such as the 15 ms default in <xref target="RFC8033"/>). Flow queuing works by classifying incoming packets into different queues during the enqueue phase and then scheduling outgoing packets from these queues during the dequeue phase. The PIE algorithm, however, only operates during enqueue.</t>
      <t>The details of flow queuing and the PIE algorithm are not covered here; for more information, please refer to <xref target="RFC8290"/> and <xref target="RFC8033"/>, respectively.</t>
      <section anchor="enqueue">
        <name>Enqueue</name>
        <t>The packet enqueue process is described as follows: first, the incoming packets are classified into different queues by hashing the 5-tuple, which includes the protocol number, source and destination IP addresses, and source and destination port numbers, similar to the approach used in FQ-CoDel.</t>
        <t>Next, the packet is passed to the PIE algorithm, which uses a drop probability to determine whether the packet should be enqueued or dropped, as outlined in <xref target="RFC8033"/>. This drop probability is updated periodically (every 15 ms, as per <xref target="RFC8033"/>) based on the current queue delay's deviation from the target delay and whether the delay is trending up or down.</t>
        <t><xref target="RFC8033"/> presents two methods for calculating the current queue delay: one uses Little's Law, estimating delay based on the queue length and the average dequeue rate; the other takes direct measurements using timestamps, as implemented in CoDel and FQ-CoDel. However, experimental studies on the PIE algorithm <xref target="REVISIT-PIE"/> indicate that while the dequeue rate is intended to estimate the transmission rate of packets over the outgoing link, it may instead reflect the rate at which packets move from the host stack (e.g., Linux qdisc) to the device driver's transmission ring. Additionally, in FQ-PIE, queue delay estimates from Little's Law can be unreliable, as it's challenging to calculate an accurate per-queue dequeue rate. Consequently, the FQ-PIE algorithm <bcp14>SHOULD</bcp14> calculate the current queue delay using direct measurements with timestamps.</t>
        <t>It is important to note that the timestamping approach provides a "per-packet queue delay," while the drop probability is calculated periodically (every 15 ms, as specified in <xref target="RFC8033"/>). Therefore, the FQ-PIE algorithm <bcp14>MAY</bcp14> use the queue delay value from the most recently dequeued packet when calculating the drop probability.</t>
        <t>At the time of writing this document, the Linux, FreeBSD and ns-3 implementations use timestamps to calculate the current queue delay and consider the measurements from the most recently dequeued packet when calculating the drop probability. Additionally, these implementations offer an option to use the dequeue rate estimation technique based on Little's Law.</t>
        <t>Lastly, if an incoming packet arrives when the total number of enqueued packets has already saturated the queue capacity, FQ-PIE drops the packet without further processing. In contrast, FQ-CoDel identifies the queue with the largest current byte count (i.e., a "fat flow") when the queue capacity is saturated and drops half of the packets from this queue (up to a maximum of 64 packets, as specified in Section 4.1 of <xref target="RFC8290"/>). FQ-PIE does not adopt this approach for the reasons explained below.</t>
        <t>Since CoDel performs its queue control operations during the dequeue phase and does not drop incoming packets until the queue is full, it tends to fill its queues more quickly than PIE, which drops packets randomly during the enqueue phase. This is especially true when CoDel has just entered the dropping phase, as it takes time to ramp up its packet dropping frequency. Therefore, the strategy of dropping half of the packets from a fat flow's queue suits FQ-CoDel but is not appropriate for FQ-PIE. Dropping packets in bulk might lead to underutilization of link capacity, as FQ-PIE already enforces queue control during the enqueue phase.</t>
      </section>
      <section anchor="dequeue">
        <name>Dequeue</name>
        <t>The packet dequeue process in FQ-PIE is similar to that in FQ-CoDel, where a DRR-based scheduler is used to dequeue packets from each queue. The key difference is that in FQ-CoDel, CoDel operates during this phase, whereas in FQ-PIE, PIE operates during the enqueue phase. The method for obtaining direct measurements of per-packet queue delay is the same in both FQ-PIE and FQ-CoDel, and is performed during the dequeue phase.</t>
      </section>
      <section anchor="ecn-support">
        <name>ECN Support</name>
        <t>FQ-PIE <bcp14>MAY</bcp14> support ECN by marking ECN-Capable Transport (ECT) packets <xref target="RFC3168"/> instead of dropping them, in accordance with the recommendations in Section 5.1 of <xref target="RFC8033"/>. The Linux, FreeBSD and ns-3 implementations of FQ-PIE comply with these recommendations at the time of writing this document.</t>
      </section>
    </section>
    <section anchor="scope-of-experimentation">
      <name>Scope of Experimentation</name>
      <t>The design of the FQ-PIE algorithm as described in this document has been a part of the Linux kernel since version 5.6 (released on March 29, 2020), FreeBSD since version 11.0-RELEASE (released on October 10, 2016), and the ns-3 network simulator since version 3.34 (released on July 14, 2021). The following aspects can be explored for further study and experimentation:</t>
      <ul spacing="normal">
        <li>
          <t>The scenarios similar to those summarized in Figure 4 of <xref target="RFC7928"/> <bcp14>MAY</bcp14> be considered for an in-depth experimentation of FQ-PIE.</t>
        </li>
        <li>
          <t>Interactions between flow queuing and new congestion control algorithms, such as Bottleneck Bandwidth and Round-trip propagation time (BBR) <xref target="I-D.draft-ietf-ccwg-bbr"/>.</t>
        </li>
        <li>
          <t>Different packet drop probability thresholds to switch from marking packets to dropping packets.</t>
        </li>
        <li>
          <t>Evaluation of the enhancements to the PIE algorithm described in Section 5 in <xref target="RFC8033"/> to decide which enhancements are suitable for deployment with FQ-PIE.</t>
        </li>
        <li>
          <t>Effectiveness of FQ-PIE in terms of providing isolation and minimal latency for low volume traffic (short flows) such as web applications, instant messaging applications, interactive applications and IoT applications.</t>
        </li>
        <li>
          <t>Different hashing mechanisms to improve the overall working of flow queuing.</t>
        </li>
      </ul>
    </section>
    <section anchor="security-considerations">
      <name>Security Considerations</name>
      <t>The FQ-PIE algorithm introduces no specific security exposures. The flow queuing aspect of the FQ-PIE algorithm is the same as FQ-CoDel, and hence has similar advantages from the security perspective as outlined in Section 8 of <xref target="RFC8290"/>. The PIE aspect of the FQ-PIE algorithm is the same as described in <xref target="RFC8033"/> that does not have any security exposures.</t>
    </section>
    <section anchor="iana-considerations">
      <name>IANA Considerations</name>
      <t>This document has no IANA actions.</t>
    </section>
  </middle>
  <back>
    <references anchor="sec-combined-references">
      <name>References</name>
      <references anchor="sec-normative-references">
        <name>Normative References</name>
        <reference anchor="RFC8033">
          <front>
            <title>Proportional Integral Controller Enhanced (PIE): A Lightweight Control Scheme to Address the Bufferbloat Problem</title>
            <author fullname="R. Pan" initials="R." surname="Pan"/>
            <author fullname="P. Natarajan" initials="P." surname="Natarajan"/>
            <author fullname="F. Baker" initials="F." surname="Baker"/>
            <author fullname="G. White" initials="G." surname="White"/>
            <date month="February" year="2017"/>
            <abstract>
              <t>Bufferbloat is a phenomenon in which excess buffers in the network cause high latency and latency variation. As more and more interactive applications (e.g., voice over IP, real-time video streaming, and financial transactions) run in the Internet, high latency and latency variation degrade application performance. There is a pressing need to design intelligent queue management schemes that can control latency and latency variation, and hence provide desirable quality of service to users.</t>
              <t>This document presents a lightweight active queue management design called "PIE" (Proportional Integral controller Enhanced) that can effectively control the average queuing latency to a target value. Simulation results, theoretical analysis, and Linux testbed results have shown that PIE can ensure low latency and achieve high link utilization under various congestion situations. The design does not require per-packet timestamps, so it incurs very little overhead and is simple enough to implement in both hardware and software.</t>
            </abstract>
          </front>
          <seriesInfo name="RFC" value="8033"/>
          <seriesInfo name="DOI" value="10.17487/RFC8033"/>
        </reference>
        <reference anchor="RFC8290">
          <front>
            <title>The Flow Queue CoDel Packet Scheduler and Active Queue Management Algorithm</title>
            <author fullname="T. Hoeiland-Joergensen" initials="T." surname="Hoeiland-Joergensen"/>
            <author fullname="P. McKenney" initials="P." surname="McKenney"/>
            <author fullname="D. Taht" initials="D." surname="Taht"/>
            <author fullname="J. Gettys" initials="J." surname="Gettys"/>
            <author fullname="E. Dumazet" initials="E." surname="Dumazet"/>
            <date month="January" year="2018"/>
            <abstract>
              <t>This memo presents the FQ-CoDel hybrid packet scheduler and Active Queue Management (AQM) algorithm, a powerful tool for fighting bufferbloat and reducing latency.</t>
              <t>FQ-CoDel mixes packets from multiple flows and reduces the impact of head-of-line blocking from bursty traffic. It provides isolation for low-rate traffic such as DNS, web, and videoconferencing traffic. It improves utilisation across the networking fabric, especially for bidirectional traffic, by keeping queue lengths short, and it can be implemented in a memory- and CPU-efficient fashion across a wide range of hardware.</t>
            </abstract>
          </front>
          <seriesInfo name="RFC" value="8290"/>
          <seriesInfo name="DOI" value="10.17487/RFC8290"/>
        </reference>
        <reference anchor="RFC8289">
          <front>
            <title>Controlled Delay Active Queue Management</title>
            <author fullname="K. Nichols" initials="K." surname="Nichols"/>
            <author fullname="V. Jacobson" initials="V." surname="Jacobson"/>
            <author fullname="A. McGregor" initials="A." role="editor" surname="McGregor"/>
            <author fullname="J. Iyengar" initials="J." role="editor" surname="Iyengar"/>
            <date month="January" year="2018"/>
            <abstract>
              <t>This document describes CoDel (Controlled Delay) -- a general framework that controls bufferbloat-generated excess delay in modern networking environments. CoDel consists of an estimator, a setpoint, and a control loop. It requires no configuration in normal Internet deployments.</t>
            </abstract>
          </front>
          <seriesInfo name="RFC" value="8289"/>
          <seriesInfo name="DOI" value="10.17487/RFC8289"/>
        </reference>
        <reference anchor="RFC3168">
          <front>
            <title>The Addition of Explicit Congestion Notification (ECN) to IP</title>
            <author fullname="K. Ramakrishnan" initials="K." surname="Ramakrishnan"/>
            <author fullname="S. Floyd" initials="S." surname="Floyd"/>
            <author fullname="D. Black" initials="D." surname="Black"/>
            <date month="September" year="2001"/>
            <abstract>
              <t>This memo specifies the incorporation of ECN (Explicit Congestion Notification) to TCP and IP, including ECN's use of two bits in the IP header. [STANDARDS-TRACK]</t>
            </abstract>
          </front>
          <seriesInfo name="RFC" value="3168"/>
          <seriesInfo name="DOI" value="10.17487/RFC3168"/>
        </reference>
        <reference anchor="RFC2119">
          <front>
            <title>Key words for use in RFCs to Indicate Requirement Levels</title>
            <author fullname="S. Bradner" initials="S." surname="Bradner"/>
            <date month="March" year="1997"/>
            <abstract>
              <t>In many standards track documents several words are used to signify the requirements in the specification. These words are often capitalized. This document defines these words as they should be interpreted in IETF documents. This document specifies an Internet Best Current Practices for the Internet Community, and requests discussion and suggestions for improvements.</t>
            </abstract>
          </front>
          <seriesInfo name="BCP" value="14"/>
          <seriesInfo name="RFC" value="2119"/>
          <seriesInfo name="DOI" value="10.17487/RFC2119"/>
        </reference>
        <reference anchor="RFC8174">
          <front>
            <title>Ambiguity of Uppercase vs Lowercase in RFC 2119 Key Words</title>
            <author fullname="B. Leiba" initials="B." surname="Leiba"/>
            <date month="May" year="2017"/>
            <abstract>
              <t>RFC 2119 specifies common key words that may be used in protocol specifications. This document aims to reduce the ambiguity by clarifying that only UPPERCASE usage of the key words have the defined special meanings.</t>
            </abstract>
          </front>
          <seriesInfo name="BCP" value="14"/>
          <seriesInfo name="RFC" value="8174"/>
          <seriesInfo name="DOI" value="10.17487/RFC8174"/>
        </reference>
        <reference anchor="RFC7928">
          <front>
            <title>Characterization Guidelines for Active Queue Management (AQM)</title>
            <author fullname="N. Kuhn" initials="N." role="editor" surname="Kuhn"/>
            <author fullname="P. Natarajan" initials="P." role="editor" surname="Natarajan"/>
            <author fullname="N. Khademi" initials="N." role="editor" surname="Khademi"/>
            <author fullname="D. Ros" initials="D." surname="Ros"/>
            <date month="July" year="2016"/>
            <abstract>
              <t>Unmanaged large buffers in today's networks have given rise to a slew of performance issues. These performance issues can be addressed by some form of Active Queue Management (AQM) mechanism, optionally in combination with a packet-scheduling scheme such as fair queuing. This document describes various criteria for performing characterizations of AQM schemes that can be used in lab testing during development, prior to deployment.</t>
            </abstract>
          </front>
          <seriesInfo name="RFC" value="7928"/>
          <seriesInfo name="DOI" value="10.17487/RFC7928"/>
        </reference>
      </references>
      <references anchor="sec-informative-references">
        <name>Informative References</name>
        <reference anchor="LINUX-FQ-PIE" target="https://ieeexplore.ieee.org/abstract/document/9000684">
          <front>
            <title>FQ-PIE Queue Discipline in the Linux Kernel: Design, Implementation and Challenges</title>
            <author initials="G." surname="Ramakrishnan" fullname="Gautam Ramakrishnan">
              <organization/>
            </author>
            <author initials="M." surname="Bhasi" fullname="Mohit Bhasi">
              <organization/>
            </author>
            <author initials="V." surname="Saicharan" fullname="V. Saicharan">
              <organization/>
            </author>
            <author initials="L." surname="Monis" fullname="Leslie Monis">
              <organization/>
            </author>
            <author initials="S. D." surname="Patil" fullname="Sachin D. Patil">
              <organization/>
            </author>
            <author initials="M. P." surname="Tahiliani" fullname="Mohit P. Tahiliani">
              <organization/>
            </author>
            <date year="2019" month="October"/>
          </front>
          <seriesInfo name="2019 IEEE 44th LCN Symposium on Emerging Topics in Networking (LCN Symposium)" value=""/>
        </reference>
        <reference anchor="FREEBSD-FQ-PIE" target="https://web.archive.org/web/20241018123533/http://caia.swin.edu.au/reports/160418A/CAIA-TR-160418A.pdf">
          <front>
            <title>Dummynet AQM v0. 2–CoDel, FQ-CoDel, PIE and FQ-PIE for FreeBSDs ipfw/dummynet Framework</title>
            <author initials="R." surname="Al-Saadi" fullname="Rasool Al-Saadi">
              <organization/>
            </author>
            <author initials="G." surname="Armitage" fullname="Grenville Armitage">
              <organization/>
            </author>
            <date year="2016" month="October"/>
          </front>
          <seriesInfo name="Centre for Advanced Internet Architectures, Swinburne University of Technology, Melbourne, Australia, Tech. Rep. A, 160418" value=""/>
        </reference>
        <reference anchor="ns-3-FQ-PIE" target="https://www.nsnam.org/docs/models/html/fq-pie.html">
          <front>
            <title>FQ-PIE Queue Discipline in ns-3</title>
            <author>
              <organization/>
            </author>
            <date year="2021" month="July"/>
          </front>
        </reference>
        <reference anchor="REVISIT-PIE" target="https://www.sciencedirect.com/science/article/pii/S1389128619313775">
          <front>
            <title>Revisiting Design Choices in Queue Disciplines: The PIE Case</title>
            <author initials="P." surname="Imputato" fullname="Pasquale Imputato">
              <organization/>
            </author>
            <author initials="S." surname="Avallone" fullname="Stefano Avallone">
              <organization/>
            </author>
            <author initials="M. P." surname="Tahiliani" fullname="Mohit P. Tahiliani">
              <organization/>
            </author>
            <author initials="G." surname="Ramakrishnan" fullname="Gautam Ramakrishnan">
              <organization/>
            </author>
            <date year="2020" month="April"/>
          </front>
          <seriesInfo name="Computer Networks" value=""/>
        </reference>
        <reference anchor="I-D.draft-ietf-ccwg-bbr">
          <front>
            <title>BBR Congestion Control</title>
            <author fullname="Neal Cardwell" initials="N." surname="Cardwell">
              <organization>Google</organization>
            </author>
            <author fullname="Ian Swett" initials="I." surname="Swett">
              <organization>Google</organization>
            </author>
            <author fullname="Joseph Beshay" initials="J." surname="Beshay">
              <organization>Meta</organization>
            </author>
            <date day="20" month="October" year="2025"/>
            <abstract>
              <t>   This document specifies the BBR congestion control algorithm.  BBR
   ("Bottleneck Bandwidth and Round-trip propagation time") uses recent
   measurements of a transport connection's delivery rate, round-trip
   time, and packet loss rate to build an explicit model of the network
   path.  BBR then uses this model to control both how fast it sends
   data and the maximum volume of data it allows in flight in the
   network at any time.  Relative to loss-based congestion control
   algorithms such as Reno [RFC5681] or CUBIC [RFC9438], BBR offers
   substantially higher throughput for bottlenecks with shallow buffers
   or random losses, and substantially lower queueing delays for
   bottlenecks with deep buffers (avoiding "bufferbloat").  BBR can be
   implemented in any transport protocol that supports packet-delivery
   acknowledgment.  Thus far, open source implementations are available
   for TCP [RFC9293] and QUIC [RFC9000].  This document specifies
   version 3 of the BBR algorithm, BBRv3.

              </t>
            </abstract>
          </front>
          <seriesInfo name="Internet-Draft" value="draft-ietf-ccwg-bbr-04"/>
        </reference>
      </references>
    </references>
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