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Last Call Review of draft-ietf-aqm-pie-06
review-ietf-aqm-pie-06-secdir-lc-kumari-2016-05-05-00

Request Review of draft-ietf-aqm-pie
Requested revision No specific revision (document currently at 10)
Type Last Call Review
Team Security Area Directorate (secdir)
Deadline 2016-05-04
Requested 2016-04-21
Authors Rong Pan , Preethi Natarajan , Fred Baker , Greg White
I-D last updated 2016-05-05
Completed reviews Genart Last Call review of -06 by Ron Bonica (diff)
Secdir Last Call review of -06 by Warren "Ace" Kumari (diff)
Opsdir Last Call review of -06 by Mahesh Jethanandani (diff)
Assignment Reviewer Warren "Ace" Kumari
State Completed
Request Last Call review on draft-ietf-aqm-pie by Security Area Directorate Assigned
Reviewed revision 06 (document currently at 10)
Result Has nits
Completed 2016-05-05
review-ietf-aqm-pie-06-secdir-lc-kumari-2016-05-05-00
Be



ye



not

 afraid...

I have reviewed this document as part of the security directorate's

ongoing effort to review all IETF documents being processed by the

IESG.  These comments were written primarily for the benefit of the

security area directors.  Document editors and WG chairs should treat

these comments just like any other last call comments.

Version reviewed:

draft-ietf-aqm-pie-06

 -

PIE: A Lightweight Control Scheme To Address the

Bufferbloat Problem

Summary:

LGTM, Security AD attention

not

 required.

Details:

No major issues, some nits. Feel free to integrate or ignore.

Notes:

>5 authors. Many of the authors are experienced, so they probably already know
the RFC Ed might make sad face at you.

Comments in [O]riginal, [P]roposed, [R]eason.

Abstract

Bufferbloat is a phenomenon where excess buffers in the network cause

[O] phenomenon where excess

[P] phenomenon in which excess

[R] grammar

high latency and jitter. As more and more interactive applications

[SNIP]

There is a pressing need to design

intelligent queue management schemes that can control latency and

jitter; and hence provide desirable quality of service to users.

[O] jitter; and hence

[P] jitter, and hence

[R] grammar

[SNIP]

The design does not

require per-packet timestamp, so it incurs very small overhead and is

[O] require per-packet timestamp,

[P] require per-packet timestamps,

[R] grammar

[O] incurs very small overhead

[P] incurs very little overhead

[R] word choice

1. Introduction

The explosion of smart phones, tablets and video traffic in the

Internet brings about a unique set of challenges for congestion

control. To avoid packet drops, many service providers or data center

operators require vendors to put in as much buffer as possible. With

rapid decrease in memory chip prices, these requests are easily

[O] With rapid decrease in memory chip price,

[P] Because of the rapid decrease in memory chip prices,

accommodated to keep customers happy. While this solution succeeds in

assuring low packet loss and high TCP throughput, it suffers from a

major downside. The TCP protocol continuously increases its sending

rate and causes network buffers to fill up. TCP cuts its rate only

when it receives a packet drop or mark that is interpreted as a

congestion signal. However, drops and marks usually occur when

network buffers are full or almost full. As a result, excess buffers,

initially designed to avoid packet drops, would lead to highly

elevated queueing latency and jitter. It is a delicate balancing act

to design a queue management scheme that not only allows short-term

burst to smoothly pass, but also controls the average latency in the

presence of long-running greedy flows.

[O] It is a delicate balancing act to design a queue management scheme that not
only allows short-term burst to smoothly pass, but also controls the average
latency in the presence of long-running greedy flows.

[P] Designing a queue management scheme that allows short-term bursts to pass
smoothly as well as controlling the average latency in the presence of
long-running greedy flows is a delicate balancing act.

[R] readability

[SNIP]

New algorithms are beginning to emerge to control queueing latency

directly to address the bufferbloat problem [CoDel]. Along these

lines, PIE also aims to keep the benefits of RED: such as easy

[O] the benefits of RED: such as easy

[P] the benefits of RED, including easy

[R] readability and grammar

implementation and scalability to high speeds. Similar to RED, PIE

randomly drops an incoming packet at the onset of the congestion. The

congestion detection, however, is based on the queueing latency

instead of the queue length like RED.

[SNIP]

In October 2013, CableLabs' DOCSIS 3.1 specification [DOCSIS_3.1]

mandated that cable modems implement a specific variant of the PIE

design as the active queue management algorithm. In addition to cable

specific improvements, the PIE design in DOCSIS 3.1 [DOCSIS-PIE] has

improved the original design in several areas, including de-

randomization of coin tosses and enhanced burst protection.

This draft separates the PIE design into the basic elements that are

MUST to be implemented and optional SHOULD/MAY enhancement elements.

[O] that are MUST to be implemented

[R] This is awkward, but maybe should be left as is? Or delete "are"?

4. The Basic PIE Scheme

As illustrated in Fig. 1, PIE conceptually comprises three simple MUST

[O] PIE conceptually comprises three simple

[P] PIE is comprised of three simple

[R] I think this is what is meant -- PIE is made of three MUST components, not
PIE makes those three components?

components: a) random dropping at enqueueing; b) periodic drop

probability update; c) latency calculation.

[SNIP]

5.2 Departure Rate Estimation

One way to calculate latency is to obtain the departure rate. The

draining rate of a queue in the network often varies either because

other queues are sharing the same link, or the link capacity fluctuates.

[O] because other queues are sharing the same link, or the link capacity
fluctuates.

[P] because other queues are sharing the link or because the link capacity
fluctuates.

[R] clarity

9. Security Considerations

This document describes an active queue management algorithm based

on implementations in Cisco products. This algorithm introduces no

specific security exposures.

10. IANA Considerations

There are no actions for IANA.

-- END --