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author | Thomas Voss <mail@thomasvoss.com> | 2024-11-27 20:54:24 +0100 |
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committer | Thomas Voss <mail@thomasvoss.com> | 2024-11-27 20:54:24 +0100 |
commit | 4bfd864f10b68b71482b35c818559068ef8d5797 (patch) | |
tree | e3989f47a7994642eb325063d46e8f08ffa681dc /doc/rfc/rfc8034.txt | |
parent | ea76e11061bda059ae9f9ad130a9895cc85607db (diff) |
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diff --git a/doc/rfc/rfc8034.txt b/doc/rfc/rfc8034.txt new file mode 100644 index 0000000..ebc708a --- /dev/null +++ b/doc/rfc/rfc8034.txt @@ -0,0 +1,955 @@ + + + + + + +Internet Engineering Task Force (IETF) G. White +Request for Comments: 8034 CableLabs +Category: Informational R. Pan +ISSN: 2070-1721 Cisco Systems + February 2017 + + + Active Queue Management (AQM) Based on + Proportional Integral Controller Enhanced (PIE) for + Data-Over-Cable Service Interface Specifications (DOCSIS) Cable Modems + +Abstract + + Cable modems based on Data-Over-Cable Service Interface + Specifications (DOCSIS) provide broadband Internet access to over one + hundred million users worldwide. In some cases, the cable modem + connection is the bottleneck (lowest speed) link between the customer + and the Internet. As a result, the impact of buffering and + bufferbloat in the cable modem can have a significant effect on user + experience. The CableLabs DOCSIS 3.1 specification introduces + requirements for cable modems to support an Active Queue Management + (AQM) algorithm that is intended to alleviate the impact that + buffering has on latency-sensitive traffic, while preserving bulk + throughput performance. In addition, the CableLabs DOCSIS 3.0 + specifications have also been amended to contain similar + requirements. This document describes the requirements on AQM that + apply to DOCSIS equipment, including a description of the + "DOCSIS-PIE" algorithm that is required on DOCSIS 3.1 cable modems. + +Status of This Memo + + This document is not an Internet Standards Track specification; it is + published for informational purposes. + + 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). Not all documents + approved by the IESG are a candidate for any level of Internet + Standard; see Section 2 of RFC 7841. + + 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/rfc8034. + + + + + + + +White & Pan Informational [Page 1] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +Copyright Notice + + Copyright (c) 2017 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. + +Table of Contents + + 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3 + 2. Overview of DOCSIS AQM Requirements . . . . . . . . . . . . . 3 + 3. The DOCSIS MAC Layer and Service Flows . . . . . . . . . . . 4 + 4. DOCSIS-PIE vs. PIE . . . . . . . . . . . . . . . . . . . . . 5 + 4.1. Latency Target . . . . . . . . . . . . . . . . . . . . . 5 + 4.2. Departure Rate Estimation . . . . . . . . . . . . . . . . 6 + 4.3. Enhanced Burst Protection . . . . . . . . . . . . . . . . 7 + 4.4. Expanded Auto-Tuning Range . . . . . . . . . . . . . . . 7 + 4.5. Trigger for Exponential Decay . . . . . . . . . . . . . . 8 + 4.6. Drop Probability Scaling . . . . . . . . . . . . . . . . 8 + 4.7. Support for Explicit Congestion Notification . . . . . . 8 + 5. Implementation Guidance . . . . . . . . . . . . . . . . . . . 9 + 6. Security Considerations . . . . . . . . . . . . . . . . . . . 9 + 7. References . . . . . . . . . . . . . . . . . . . . . . . . . 10 + 7.1. Normative References . . . . . . . . . . . . . . . . . . 10 + 7.2. Informative References . . . . . . . . . . . . . . . . . 10 + Appendix A. DOCSIS-PIE Algorithm Definition . . . . . . . . . . 11 + A.1. DOCSIS-PIE AQM Constants and Variables . . . . . . . . . 11 + A.1.1. Configuration Parameters . . . . . . . . . . . . . . 11 + A.1.2. Constant Values . . . . . . . . . . . . . . . . . . . 11 + A.1.3. Variables . . . . . . . . . . . . . . . . . . . . . . 12 + A.1.4. Public/System Functions . . . . . . . . . . . . . . . 12 + A.2. DOCSIS-PIE AQM Control Path . . . . . . . . . . . . . . . 13 + A.3. DOCSIS-PIE AQM Data Path . . . . . . . . . . . . . . . . 15 + Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 17 + + + + + + + + + +White & Pan Informational [Page 2] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +1. Introduction + + A recent resurgence of interest in active queue management, arising + from a recognition of the inadequacies of drop-tail queuing in the + presence of loss-based congestion control algorithms, has resulted in + the development of new algorithms that appear to provide very good + congestion feedback to current TCP algorithms, while also having + operational simplicity and low complexity. One of these algorithms + has been selected as a requirement for cable modems built according + to the DOCSIS 3.1 specification [DOCSIS_3.1]. The Data-Over-Cable + Service Interface Specifications (DOCSIS) define the broadband + technology deployed worldwide for Ethernet and IP service over hybrid + fiber-coaxial cable systems. The most recent revision of the DOCSIS + technology, version 3.1, was originally published in October 2013 and + provides support for up to 10 Gbps downstream (toward the customer) + and 1 Gbps upstream (from the customer) capacity over existing cable + networks. Previous versions of the DOCSIS technology did not contain + requirements for AQM. This document outlines the high-level AQM + requirements for DOCSIS systems, discusses some of the salient + features of the DOCSIS Media Access Control (MAC) layer, and + describes the DOCSIS-PIE algorithm -- largely by comparing it to its + progenitor, the PIE algorithm [RFC8033]. + +2. Overview of DOCSIS AQM Requirements + + CableLabs' DOCSIS 3.1 specification [DOCSIS_3.1] mandates that cable + modems implement a specific variant of the Proportional Integral + controller Enhanced (PIE) AQM algorithm [RFC8033]. This specific + variant is provided for reference in Appendix A, and simulation + results comparing it to drop-tail queuing and other AQM options are + given in [CommMag] and [DOCSIS-AQM]. In addition, CableLabs' DOCSIS + 3.0 specification [DOCSIS_3.0] has been amended to recommend that + cable modems implement the same algorithm. Both specifications allow + that cable modems can optionally implement additional algorithms that + can then be selected for use by the operator via the modem's + configuration file. + + These requirements on the cable modem apply to upstream transmissions + (i.e., from the customer to the Internet). + + Both specifications also include requirements (mandatory in DOCSIS + 3.1 and recommended in DOCSIS 3.0) that the Cable Modem Termination + System (CMTS) implement AQM for downstream traffic; however, no + specific algorithm is defined for downstream use. + + + + + + + +White & Pan Informational [Page 3] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +3. The DOCSIS MAC Layer and Service Flows + + The DOCSIS Media Access Control (sub-)layer provides tools for + configuring differentiated Quality of Service (QoS) for different + applications by the use of Packet Classifiers and Service Flows. + + Each Service Flow has an associated QoS parameter set that defines + the treatment of the packets that traverse the Service Flow. These + parameters include, for example, Minimum Reserved Traffic Rate, + Maximum Sustained Traffic Rate, Peak Traffic Rate, Maximum Traffic + Burst, and Traffic Priority. Each upstream Service Flow corresponds + to a queue in the cable modem, and each downstream Service Flow + corresponds to a queue in the CMTS. The DOCSIS AQM requirements + mandate that the CM and CMTS implement the AQM algorithm (and allow + it to be disabled, if needed) on each Service Flow queue + independently. + + Packet Classifiers can match packets based upon several fields in the + packet/frame headers including the Ethernet header, IP header, and + TCP/UDP header. Matched packets are then queued in the associated + Service Flow queue. + + Each cable modem can be configured with multiple Packet Classifiers + and Service Flows. The maximum number of such entities that a cable + modem supports is an implementation decision for the manufacturer, + but modems typically support 16 or 32 upstream Service Flows and at + least that many Packet Classifiers. Similarly, the CMTS supports + multiple downstream Service Flows and multiple Packet Classifiers per + cable modem. + + It is typical that upstream and downstream Service Flows used for + broadband Internet access are configured with a Maximum Sustained + Traffic Rate. This QoS parameter rate-shapes the traffic onto the + DOCSIS link and is the main parameter that defines the service + offering. Additionally, it is common that upstream and downstream + Service Flows are configured with a Maximum Traffic Burst and a Peak + Traffic Rate. These parameters allow the service to burst at a + higher (sometimes significantly higher) rate than is defined in the + Maximum Sustained Traffic Rate for the amount of bytes configured in + Maximum Traffic Burst, as long as the long-term average data rate + remains at or below the Maximum Sustained Traffic Rate. + + + + + + + + + + +White & Pan Informational [Page 4] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + Mathematically, what is enforced is that the traffic placed on the + DOCSIS link in the time interval (t1,t2) complies with the following + rate-shaping equations: + + TxBytes(t1,t2) <= (t2-t1)*R/8 + B + + TxBytes(t1,t2) <= (t2-t1)*P/8 + 1522 + + for all values t2>t1, where: + + R = Maximum Sustained Traffic Rate (bps) + + P = Peak Traffic Rate (bps) + + B = Maximum Traffic Burst (bytes) + + The result of this configuration is that the link rate available to + the Service Flow varies based on the pattern of load. If the load + that the Service Flow places on the link is less than the Maximum + Sustained Traffic Rate, the Service Flow "earns" credit that it can + then use (should the load increase) to burst at the Peak Traffic + Rate. This dynamic is important since these rate changes + (particularly the decrease in data rate once the traffic burst credit + is exhausted) can induce a step increase in buffering latency. + +4. DOCSIS-PIE vs. PIE + + There are a number of differences between the version of the PIE + algorithm that is mandated for cable modems in the DOCSIS + specifications and the version described in [RFC8033]. These + differences are described in the following subsections. + +4.1. Latency Target + + The latency target (a.k.a. delay reference) is a key parameter that + affects, among other things, the trade-off in performance between + latency-sensitive applications and bulk TCP applications. Via + simulation studies, a value of 10 ms was identified as providing a + good balance of performance. However, it is recognized that there + may be service offerings for which this value doesn't provide the + best performance balance. As a result, this is provided as a + configuration parameter that the operator can set independently on + each upstream Service Flow. If not explicitly set by the operator, + the modem will use 10 ms as the default value. + + + + + + + +White & Pan Informational [Page 5] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +4.2. Departure Rate Estimation + + The PIE algorithm utilizes a departure rate estimator to track + fluctuations in the egress rate for the queue and to generate a + smoothed estimate of this rate for use in the drop probability + calculation. This estimator may be well suited to many link + technologies but is not ideal for DOCSIS upstream links for a number + of reasons. + + First, the bursty nature of the upstream transmissions, in which the + queue drains at line rate (up to ~100 Mbps for DOCSIS 3.0 and ~1 Gbps + for DOCSIS 3.1) and then is blocked until the next transmit + opportunity, results in the potential for inaccuracy in measurement, + given that the PIE departure rate estimator starts each measurement + during a transmission burst and ends each measurement during a + (possibly different) transmission burst. For example, in the case + where the start and end of measurement occur within a single burst, + the PIE estimator will calculate the egress rate to be equal to the + line rate, rather than the average rate available to the modem. + + Second, the latency introduced by the DOCSIS request-grant mechanism + can result in some further inaccuracy. In typical conditions, the + request-grant mechanism can add between ~4 ms and ~8 ms of latency to + the forwarding of upstream traffic. Within that range, the amount of + additional latency that affects any individual data burst is + effectively random, being influenced by the arrival time of the burst + relative to the next request transmit opportunity, among other + factors. + + Third, in the significant majority of cases, the departure rate, + while variable, is controlled by the modem itself via the pair of + token bucket rate-shaping equations described in Section 3. + Together, these two equations enforce a Maximum Sustained Traffic + Rate, a Peak Traffic Rate, and a Maximum Traffic Burst size for the + modem's requested bandwidth. The implication of this is that the + modem, in the significant majority of cases, will know precisely what + the departure rate will be and can predict exactly when transitions + between the Peak Traffic Rate and Maximum Sustained Traffic Rate will + occur. Compare this to the PIE estimator, which would be simply + reacting to (and smoothing its estimate of) those rate transitions + after the fact. + + Finally, since the modem is already implementing the dual-token + bucket traffic shaper, it contains enough internal state to calculate + predicted queuing delay with a minimum of computations. Furthermore, + these computations only need to be run at every drop probability + update interval, as opposed to the PIE estimator, which runs a + similar number of computations on each packet dequeue event. + + + +White & Pan Informational [Page 6] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + For these reasons, the DOCSIS-PIE algorithm utilizes the + configuration and state of the dual-token bucket traffic shaper to + translate queue depth into predicted queuing delay, rather than + implementing the departure rate estimator defined in PIE. + +4.3. Enhanced Burst Protection + + The PIE algorithm [RFC8033] has two states: INACTIVE and ACTIVE. + During the INACTIVE state, AQM packet drops are suppressed. The + algorithm transitions to the ACTIVE state when the queue exceeds 1/3 + of the buffer size. Upon transition to the ACTIVE state, PIE + includes a burst protection feature in which the AQM packet drops are + suppressed for the first 150 ms. Since DOCSIS-PIE is predominantly + deployed on consumer broadband connections, a more sophisticated + burst protection was developed to provide better performance in the + presence of a single TCP session. + + Where the PIE algorithm has two states, DOCSIS-PIE has three. The + INACTIVE and ACTIVE states in DOCSIS-PIE are identical to those + states in PIE. The QUIESCENT state is a transitional state between + INACTIVE and ACTIVE. The DOCSIS-PIE algorithm transitions from + INACTIVE to QUIESCENT when the queue exceeds 1/3 of the buffer size. + In the QUIESCENT state, packet drops are immediately enabled, and + upon the first packet drop, the algorithm transitions to the ACTIVE + state (where drop probability is reset to zero for the 150 ms + duration of the burst protection as in PIE). From the ACTIVE state, + the algorithm transitions to QUIESCENT if the drop probability has + decayed to zero and the queuing latency has been less than half of + the LATENCY_TARGET for two update intervals. The algorithm then + fully resets to the INACTIVE state if this "quiet" condition exists + for the duration of the BURST_RESET_TIMEOUT (1 second). One end + result of the addition of the QUIESCENT state is that a single packet + drop can occur relatively early on during an initial burst, whereas + all drops would be suppressed for at least 150 ms of the burst + duration in PIE. The other end result is that if traffic stops and + then resumes within 1 second, DOCSIS-PIE can directly drop a single + packet and then re-enter burst protection, whereas PIE would require + that the buffer exceed 1/3 full. + +4.4. Expanded Auto-Tuning Range + + The PIE algorithm scales the Proportional and Integral coefficients + based on the current drop probability. The DOCSIS-PIE algorithm + extends this scaling to cover values of drop probability greater than + 1, which can occur as a result of the drop probability scaling + function described in Section 4.6. As an example, if a flood of non- + responsive 64-byte packets were to arrive at a rate that is twice the + + + + +White & Pan Informational [Page 7] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + departure rate, the DOCSIS-PIE steady-state condition would be to + drop 50% of these packets, which implies that drop probability would + have the value of 8.00. + +4.5. Trigger for Exponential Decay + + The PIE algorithm includes a mechanism by which the drop probability + is allowed to decay exponentially (rather than linearly) when it is + detected that the buffer is empty. In the DOCSIS case, recently + arrived packets may reside in the buffer due to the request-grant + latency even if the link is effectively idle. As a result, the + buffer may not be identically empty in the situations for which the + exponential decay is intended. To compensate for this, we trigger + exponential decay when the buffer occupancy is less than 5 ms * Peak + Traffic Rate. + +4.6. Drop Probability Scaling + + The DOCSIS-PIE algorithm scales the calculated drop probability based + on the ratio of the packet size to a constant value of 1024 bytes + (representing approximate average packet size). While [RFC7567] in + general recommends against this type of scaling, we note that DOCSIS- + PIE is expected to be used predominantly to manage upstream queues in + residential broadband deployments, where we believe the benefits + outweigh the disadvantages. As a safeguard to prevent a flood of + small packets from starving flows that use larger packets, DOCSIS-PIE + limits the scaled probability to a defined maximum value of 0.85. + +4.7. Support for Explicit Congestion Notification + + DOCSIS-PIE does not include support for Explicit Congestion + Notification (ECN). Cable modems are essentially IEEE 802.1d + Ethernet bridges and so are not designed to modify IP header fields. + Additionally, the packet-processing pipeline in a cable modem is + commonly implemented in hardware. As a result, introducing support + for ECN would engender a significant redesign of cable modem data + path hardware, and would be difficult or impossible to modify in the + future. At the time of the development of DOCSIS-PIE, which + coincided with the development of modem chip designs, the benefits of + ECN marking relative to packet drop were considered to be relatively + minor; there was considerable discussion about differential treatment + of ECN-capable packets in the AQM drop/mark decision, and there were + some initial suggestions that a new ECN approach was needed. Due to + this uncertainty, we chose not to include support for ECN. + + + + + + + +White & Pan Informational [Page 8] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +5. Implementation Guidance + + The AQM space is an evolving one, and it is expected that continued + research in this field may result in improved algorithms in the + future. + + As part of defining the DOCSIS-PIE algorithm, we split the pseudocode + definition into two components: a "data path" component and a + "control path" component. The control path component contains the + packet drop probability update functionality, whereas the data path + component contains the per-packet operations, including the drop + decision logic. + + It is understood that some aspects of the cable modem implementation + may be done in hardware, particularly functions that handle packet + processing. + + While the DOCSIS specifications don't mandate the internal + implementation details of the cable modem, modem implementers are + strongly advised against implementing the control path functionality + in hardware. The intent of this advice is to retain the possibility + that future improvements in AQM algorithms can be accommodated via + software updates to deployed devices. + +6. Security Considerations + + This document describes an active queue management algorithm based on + [RFC8033] for implementation in DOCSIS cable modem devices. This + algorithm introduces no specific security exposures. + + + + + + + + + + + + + + + + + + + + + + +White & Pan Informational [Page 9] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +7. References + +7.1. Normative References + + [RFC8033] Pan, R., Natarajan, P., Baker, F., and G. White, + "Proportional Integral Controller Enhanced (PIE): A + Lightweight Control Scheme to Address the Bufferbloat + Problem", RFC 8033, DOI 10.17487/RFC8033, February 2017, + <http://www.rfc-editor.org/info/rfc8033>. + +7.2. Informative References + + [CommMag] White, G., "Active queue management in DOCSIS 3.1 + networks", IEEE Communications Magazine vol. 53, no. 3, + pp. 126-132, DOI 10.1109/MCOM.2015.7060493, March 2015. + + [DOCSIS-AQM] + White, G., "Active Queue Management in DOCSIS 3.x Cable + Modems", May 2014, <http://www.cablelabs.com/ + wp-content/uploads/2014/06/DOCSIS-AQM_May2014.pdf>. + + [DOCSIS_3.0] + CableLabs, "MAC and Upper Layer Protocols Interface + Specification", DOCSIS 3.0, January 2017, + <https://apps.cablelabs.com/specification/ + CM-SP-MULPIv3.0>. + + [DOCSIS_3.1] + CableLabs, "MAC and Upper Layer Protocols Interface + Specification", DOCSIS 3.1, January 2017, + <https://apps.cablelabs.com/specification/ + CM-SP-MULPIv3.1>. + + [RFC7567] Baker, F., Ed. and G. Fairhurst, Ed., "IETF + Recommendations Regarding Active Queue Management", + BCP 197, RFC 7567, DOI 10.17487/RFC7567, July 2015, + <http://www.rfc-editor.org/info/rfc7567>. + + + + + + + + + + + + + + +White & Pan Informational [Page 10] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +Appendix A. DOCSIS-PIE Algorithm Definition + + PIE defines two functions organized here into two design blocks: + + 1. Control path block -- a periodically running algorithm that + calculates a drop probability based on the estimated queuing + latency and queuing latency trend. + + 2. Data path block, a function that occurs on each packet enqueue + that implements a per-packet drop decision based on the drop + probability. + + It is desirable to have the ability to update the control path block + based on operational experience with PIE deployments. + +A.1. DOCSIS-PIE AQM Constants and Variables + +A.1.1. Configuration Parameters + + o LATENCY_TARGET. AQM Latency Target for this Service Flow + + o PEAK_RATE. Service Flow configured Peak Traffic Rate, expressed + in bytes/second + + o MSR. Service Flow configured Maximum Sustained Traffic Rate, + expressed in bytes/second + + o BUFFER_SIZE. The size (in bytes) of the buffer for this Service + Flow + +A.1.2. Constant Values + + o A = 0.25, B = 2.5. Weights in the drop probability calculation + + o INTERVAL = 16 ms. Update interval for drop probability + + o BURST_RESET_TIMEOUT = 1 second + + o MAX_BURST = 142 ms (150 ms - 8 ms (update error)) + + o MEAN_PKTSIZE = 1024 bytes + + o MIN_PKTSIZE = 64 bytes + + o PROB_LOW = 0.85 + + o PROB_HIGH = 8.5 + + + + +White & Pan Informational [Page 11] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + o LATENCY_LOW = 5 ms + + o LATENCY_HIGH = 200 ms + +A.1.3. Variables + + o drop_prob_. The current packet drop probability + + o accu_prob_. Accumulated drop probability since last drop + + o qdelay_old_. The previous queue delay estimate + + o burst_allowance_. Countdown for burst protection, initialize to 0 + + o burst_reset_. Counter to reset burst + + o aqm_state_. AQM activity state encoding 3 states: + + INACTIVE - Queue staying below 1/3 full, suppress AQM drops + + QUIESCENT - Transition state + + ACTIVE - Normal AQM drops (after burst protection period) + + o queue_. Holds the pending packets + +A.1.4. Public/System Functions + + o drop(packet). Drops/discards a packet + + o random(). Returns a uniform random value in the range 0 ~ 1 + + o queue_.is_full(). Returns true if queue_ is full + + o queue_.byte_length(). Returns current queue_ length in bytes, + including all MAC PDU bytes without DOCSIS MAC overhead + + o queue_.enque(packet). Adds packet to tail of queue_ + + o msrtokens(). Returns current token credits (in bytes) from the + Maximum Sustained Traffic Rate token bucket + + o packet.size(). Returns size of packet + + + + + + + + +White & Pan Informational [Page 12] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +A.2. DOCSIS-PIE AQM Control Path + + The DOCSIS-PIE control path performs the following: + + o Calls control_path_init() at Service Flow creation + + o Calls calculate_drop_prob() at a regular INTERVAL (16 ms) + + ================ + + // Initialization function + control_path_init() { + drop_prob_ = 0; + qdelay_old_ = 0; + burst_reset_ = 0; + aqm_state_ = INACTIVE; + } + + // Background update, occurs every INTERVAL + calculate_drop_prob() { + + if (queue_.byte_length() <= msrtokens()) { + qdelay = queue_.byte_length() / PEAK_RATE; + } else { + qdelay = ((queue_.byte_length() - msrtokens()) / MSR \ + + msrtokens() / PEAK_RATE); + } + + if (burst_allowance_ > 0) { + drop_prob_ = 0; + burst_allowance_ = max(0, burst_allowance_ - INTERVAL); + } else { + + p = A * (qdelay - LATENCY_TARGET) + \ + B * (qdelay - qdelay_old_); + // Since A=0.25 & B=2.5, can be implemented + // with shift and add + + if (drop_prob_ < 0.000001) { + p /= 2048; + } else if (drop_prob_ < 0.00001) { + p /= 512; + } else if (drop_prob_ < 0.0001) { + p /= 128; + } else if (drop_prob_ < 0.001) { + p /= 32; + } else if (drop_prob_ < 0.01) { + p /= 8; + + + +White & Pan Informational [Page 13] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + } else if (drop_prob_ < 0.1) { + p /= 2; + } else if (drop_prob_ < 1) { + p /= 0.5; + } else if (drop_prob_ < 10) { + p /= 0.125; + } else { + p /= 0.03125; + } + + if ((drop_prob_ >= 0.1) && (p > 0.02)) { + p = 0.02; + } + drop_prob_ += p; + + /* some special cases */ + if (qdelay < LATENCY_LOW && qdelay_old_ < LATENCY_LOW) { + drop_prob_ *= 0.98; // exponential decay + } else if (qdelay > LATENCY_HIGH) { + drop_prob_ += 0.02; // ramp up quickly + } + + drop_prob_ = max(0, drop_prob_); + drop_prob_ = min(drop_prob_, \ + PROB_LOW * MEAN_PKTSIZE/MIN_PKTSIZE); + } + + // Check if all is quiet + quiet = (qdelay < 0.5 * LATENCY_TARGET) + && (qdelay_old_ < 0.5 * LATENCY_TARGET) + && (drop_prob_ == 0) + && (burst_allowance_ == 0); + + // Update AQM state based on quiet or !quiet + if ((aqm_state_ == ACTIVE) && quiet) { + aqm_state_ = QUIESCENT; + burst_reset_ = 0; + } else if (aqm_state_ == QUIESCENT) { + if (quiet) { + burst_reset_ += INTERVAL ; + if (burst_reset_ > BURST_RESET_TIMEOUT) { + burst_reset_ = 0; + aqm_state_ = INACTIVE; + } + } else { + burst_reset_ = 0; + } + } + + + +White & Pan Informational [Page 14] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + qdelay_old_ = qdelay; + + } + +A.3. DOCSIS-PIE AQM Data Path + + The DOCSIS-PIE data path performs the following: + + o Calls enque() in response to an incoming packet from the CMCI + + ================ + enque(packet) { + if (queue_.is_full()) { + drop(packet); + accu_prob_ = 0; + } else if (drop_early(packet, queue_.byte_length())) { + drop(packet); + } else { + queue_.enque(packet); + } + } + + //////////////// + drop_early(packet, queue_length) { + + // if still in burst protection, suppress AQM drops + if (burst_allowance_ > 0) { + return FALSE; + } + + // if drop_prob_ goes to zero, clear accu_prob_ + if (drop_prob_ == 0) { + accu_prob_ = 0; + } + + if (aqm_state_ == INACTIVE) { + if (queue_.byte_length() < BUFFER_SIZE/3) { + // if queue is still small, stay in + // INACTIVE state and suppress AQM drops + return FALSE; + } else { + // otherwise transition to QUIESCENT state + aqm_state_ = QUIESCENT; + } + } + + + + + + +White & Pan Informational [Page 15] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + + //The CM can quantize packet.size to 64, 128, 256, 512, 768, + // 1024, 1280, 1536, 2048 in the calculation below + + p1 = drop_prob_ * packet.size() / MEAN_PKTSIZE; + p1 = min(p1, PROB_LOW); + + accu_prob_ += p1; + + // Suppress AQM drops in certain situations + if ( (qdelay_old_ < 0.5 * LATENCY_TARGET && drop_prob_ < 0.2) + || (queue_.byte_length() <= 2 * MEAN_PKTSIZE) ) { + return FALSE; + } + + if (accu_prob_ < PROB_LOW) { // avoid dropping too fast due + return FALSE; // to bad luck of coin tosses... + } else if (accu_prob_ >= PROB_HIGH) { // ...and avoid dropping + drop = TRUE; // too slowly + } else { //Random drop + double u = random(); // 0 ~ 1 + if (u > p1) + return FALSE; + else + drop = TRUE; + } + + // At this point, drop == TRUE, so packet will be dropped. + + // Reset accu_prob_ + accu_prob_ = 0; + + // If in QUIESCENT state, packet drop triggers + // ACTIVE state and start of burst protection + if (aqm_state_ == QUIESCENT) { + aqm_state_ = ACTIVE; + burst_allowance_ = MAX_BURST; + } + return TRUE; + } + + + + + + + + + + + + +White & Pan Informational [Page 16] + +RFC 8034 PIE-Based AQM for DOCSIS Cable Modems February 2017 + + +Authors' Addresses + + Greg White + CableLabs + 858 Coal Creek Circle + Louisville, CO 80027-9750 + United States of America + + Email: g.white@cablelabs.com + + + Rong Pan + Cisco Systems + 510 McCarthy Blvd + Milpitas, CA 95134 + United States of America + + Email: ropan@cisco.com + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +White & Pan Informational [Page 17] + |