[ippm] Re: New Version Notification for draft-zhuang-ippm-ne twork-measurement-ps-00.txt

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Dear All,=EF=BB=BFI would like to draw your attention to a new draft that h=
as recently been submitted: I-D draft-zhuang-ippm-network-measurement-ps-00=
.=EF=BB=BFThe draft presents a problem statement and gap analysis for netwo=
rk measurement in modern high=E2=80=91speed, large=E2=80=91scale, and distr=
ibuted environments. As network applications such as AI/ML training and clo=
ud services demand adaptive, high=E2=80=91performance infrastructure, netwo=
rk measurement becomes essential for traffic engineering, load balancing, c=
ongestion control, resource accounting, and fault diagnosis. However, exist=
ing prevalent measurement techniques, including sketch=E2=80=91based measur=
ement, in=E2=80=91band network telemetry, sampling=E2=80=91based measuremen=
t, and probing=E2=80=91based measurement, each face limitations in accuracy=
, overhead, scalability, and adaptability. The draft analyses these limitat=
ions and further highlights the unique challenges introduced by distributed=
 systems.




The goal of this draft is to articulate the pressing issues that prevent cu=
rrent solutions from meeting the demands of modern networks, thereby encour=
aging the development of more effective measurement systems.




The draft is available here: https://datatracker.ietf.org/doc/draft-zhuang-=
ippm-network-measurement-ps/




We welcome your comments, suggestions, and discussions -- especially any in=
sights on additional problem scenarios, practical deployment experiences, o=
r potential approaches that could address the identified gaps.




Best regards,

Zhuang








----=E9=82=AE=E4=BB=B6=E5=8E=9F=E6=96=87---- =E5=8F=91=E4=BB=B6=E4=BA=BA=EF=
=BC=9Ainternet-drafts=20

=E6=94=B6=E4=BB=B6=E4=BA=BA=EF=BC=9ARui Zhuang ,Tong Yang ,Weiqiang Cheng ,=
Xiaobai Chen=20

=E6=8A=84=E3=80=80=E9=80=81: (=E6=97=A0)=20
=E5=8F=91=E9=80=81=E6=97=B6=E9=97=B4=EF=BC=9A2026-07-06 12:16:11=20
Subject=EF=BC=9ANew Version Notification for draft-zhuang-ippm-network-meas=
urement-ps-00.txt


A new version of Internet-Draft=20
draft-zhuang-ippm-network-measurement-ps-00.txt has been successfully=20
submitted by Rui Zhuang and posted to the=20
IETF repository.=20


 Name: draft-zhuang-ippm-network-measurement-ps=20
Revision: 00=20
Title: Network Measurement Problem Statement=20
Date: 2026-07-06=20
Group: Individual Submission=20
Pages: 12=20
URL: https://www.ietf.org/archive/id/draft-zhuang-ippm-network-measurement-=
ps-00.txt=20
Status: https://datatracker.ietf.org/doc/draft-zhuang-ippm-network-measurem=
ent-ps/=20
HTML: https://www.ietf.org/archive/id/draft-zhuang-ippm-network-measurement=
-ps-00.html=20
HTMLized: https://datatracker.ietf.org/doc/html/draft-zhuang-ippm-network-m=
easurement-ps=20


Abstract:=20
Modern network applications, ranging from artificial intelligence=20
(AI) and machine learning (ML) training to large-scale=20
cloud
 services, require adaptive and high-performance networks. Network=20
measurement is fundamental to achieving observability, enabling=20
traffic engineering (TE), load balancing, congestion control (CC),
resource accounting, and fault diagnosis. However, existing network
measurement techniques face significant challenges in accuracy,
overhead, scalability, and adaptability, especially in distributed
and high-speed environments. This document describes the problems
and gaps in current network measurement approaches, including sketch-
based measurement, in-band network telemetry (INT), sampling, and
probing, with a focus on distributed system scenarios.






The IETF Secretariat






=20


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<div id=3D"sign" style=3D"line-height: 120%;">Dear All,<br style=3D"line-he=
ight: 120%;"><br style=3D"line-height: 120%;">=EF=BB=BFI would like to draw=
 your attention to a new draft that has recently been submitted: I-D draft-=
zhuang-ippm-network-measurement-ps-00.<br style=3D"line-height: 120%;"><br =
style=3D"line-height: 120%;">=EF=BB=BFThe draft presents a problem statemen=
t and gap analysis for network measurement in modern high=E2=80=91speed, la=
rge=E2=80=91scale, and distributed environments. As network applications su=
ch as AI/ML training and cloud services demand adaptive, high=E2=80=91perfo=
rmance infrastructure, network measurement becomes essential for traffic en=
gineering, load balancing, congestion control, resource accounting, and fau=
lt diagnosis. However, existing prevalent measurement techniques, including=
 sketch=E2=80=91based measurement, in=E2=80=91band network telemetry, sampl=
ing=E2=80=91based measurement, and probing=E2=80=91based measurement, each =
face limitations in accuracy, overhead, scalability, and adaptability. The =
draft analyses these limitations and further highlights the unique challeng=
es introduced by distributed systems.</div><div id=3D"sign" style=3D"line-h=
eight: 120%;"><br></div><div id=3D"sign" style=3D"line-height: 120%;">The g=
oal of this draft is to articulate the pressing issues that prevent current=
 solutions from meeting the demands of modern networks, thereby encouraging=
 the development of more effective measurement systems.</div><div id=3D"sig=
n" style=3D"line-height: 120%;"><br></div><div id=3D"sign" style=3D"line-he=
ight: 120%;">The draft is available here: https://datatracker.ietf.org/doc/=
draft-zhuang-ippm-network-measurement-ps/</div><div id=3D"sign" style=3D"li=
ne-height: 120%;"><br></div><div id=3D"sign" style=3D"line-height: 120%;">W=
e welcome your comments, suggestions, and discussions -- especially any ins=
ights on additional problem scenarios, practical deployment experiences, or=
 potential approaches that could address the identified gaps.</div><div id=
=3D"sign" style=3D"line-height: 120%;"><br></div><div id=3D"sign" style=3D"=
line-height: 120%;">Best regards,</div><div id=3D"sign" style=3D"line-heigh=
t: 120%;">Zhuang</div><div id=3D"sign"><div style=3D"margin: 7.5pt;"><p cla=
ss=3D"MsoNormal" style=3D"margin: 0cm 0cm 1pt;"><br></p></div></div>----=E9=
=82=AE=E4=BB=B6=E5=8E=9F=E6=96=87----&nbsp;<div>=E5=8F=91=E4=BB=B6=E4=BA=BA=
=EF=BC=9Ainternet-drafts&nbsp;</div><div><[email protected]>
=E6=94=B6=E4=BB=B6=E4=BA=BA=EF=BC=9ARui Zhuang <[email protected]=
m>,Tong Yang <[email protected]>,Weiqiang Cheng <chengweiqiang@chinamobil=
e.com>,Xiaobai Chen&nbsp;</[email protected]></[email protected]=
.cn></[email protected]></[email protected]></div><div><i=
[email protected]><[email protected]><[email protected]>=
<[email protected]><[email protected]>
=E6=8A=84=E3=80=80=E9=80=81: (=E6=97=A0)&nbsp;</[email protected]></che=
[email protected]></[email protected]></zhuangruiyjy@chinamobile=
.com></[email protected]></div><div><[email protected]><zhuan=
[email protected]><[email protected]><[email protected]=
><[email protected]>=E5=8F=91=E9=80=81=E6=97=B6=E9=97=B4=EF=BC=9A2026-0=
7-06 12:16:11&nbsp;</[email protected]></[email protected]>=
</[email protected]></[email protected]></internet-drafts@ietf=
.org></div><div>Subject=EF=BC=9ANew Version Notification for draft-zhuang-i=
ppm-network-measurement-ps-00.txt</div><div><br></div><div>A new version of=
 Internet-Draft&nbsp;</div><div>draft-zhuang-ippm-network-measurement-ps-00=
.txt has been successfully&nbsp;</div><div>submitted by Rui Zhuang and post=
ed to the&nbsp;</div><div>IETF repository.&nbsp;</div><div><br></div><div>&=
nbsp;Name:     draft-zhuang-ippm-network-measurement-ps&nbsp;</div><div>Rev=
ision: 00&nbsp;</div><div>Title:    Network Measurement Problem Statement&n=
bsp;</div><div>Date:     2026-07-06&nbsp;</div><div>Group:    Individual Su=
bmission&nbsp;</div><div>Pages:    12&nbsp;</div><div>URL:      https://www=
.ietf.org/archive/id/draft-zhuang-ippm-network-measurement-ps-00.txt&nbsp;<=
/div><div>Status:   https://datatracker.ietf.org/doc/draft-zhuang-ippm-netw=
ork-measurement-ps/&nbsp;</div><div>HTML:     https://www.ietf.org/archive/=
id/draft-zhuang-ippm-network-measurement-ps-00.html&nbsp;</div><div>HTMLize=
d: https://datatracker.ietf.org/doc/html/draft-zhuang-ippm-network-measurem=
ent-ps&nbsp;</div><div><br></div><div>Abstract:&nbsp;</div><div>Modern netw=
ork applications, ranging from artificial intelligence&nbsp;</div><div>(AI)=
 and machine learning (ML) training to large-scale&nbsp;</div><div>cloud
   services, require adaptive and high-performance networks.  Network&nbsp;=
</div><div>measurement is fundamental to achieving observability, enabling&=
nbsp;</div><div>traffic engineering (TE), load balancing, congestion contro=
l (CC),</div><div>resource accounting, and fault diagnosis.  However, exist=
ing network</div><div>measurement techniques face significant challenges in=
 accuracy,</div><div>overhead, scalability, and adaptability, especially in=
 distributed</div><div>and high-speed environments.  This document describe=
s the problems</div><div>and gaps in current network measurement approaches=
, including sketch-</div><div>based measurement, in-band network telemetry =
(INT), sampling, and</div><div>probing, with a focus on distributed system =
scenarios.</div><div><br></div><div><br></div><div><br></div><div>The IETF =
Secretariat</div><div><div style=3D"font-size: 16px; font-family: =E5=AE=8B=
=E4=BD=93; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); line-=
height: 1.5; overflow-wrap: break-word; word-break: break-all;"><br><br><br=
><br><br>&nbsp;</div></div>
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