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hi Kehan,

Thank you very much for your edits.

I saw the new draft incorporates a dedicated Operational Considerations section (Section 7), which addresses the gap identified previously. Sections 7.1-7.3 helps consolidate operator facing guidance on multi-vendor normalization negotiation, metric level selection, as well as metric collection failure handling. These are meaningful improvements that significantly improve deployability.

I've identified some remaining gaps which relate mainly to verifying correct operation, management interoperability and migration/coexistence with TE/ALTO.

Comments 1, 3 and 5 can be closed. Comments 2 and 4 was addressed partially.
Comments 6, 7, 8, 9, and 10 remain open.=C2=A0

Details:

1. Missing Operational Considerations

Disposition: Closed

7.1=E2=80=937.3 cover intra-domain normalization, advertisement overh= ead, and collection failure. This suffice for the structural comment from -10.


2. Cross-vendor score comparability

Disposition: Partial
=C2=A0 =C2=A0
Intra-domain offline negotiation is aligned with the 25 Aug list discussion. Inter-domain use and comparability warning are not explicitly mentioned.

e.g.=C2=A0

- when scores are safe across, not just within a single administrative domain
- when Level 1 category metrics should be preferred over Level 2 global scores in multi-vendor settings
- operational calibration: who runs benchmarks, how often, what deviation triggers re-calibration, etc.


3. Faults / troubleshooting

Disposition: Closed

7.3 adds fallback to traditional network-aware steering and recommended alarms on SEC-4 freshness failures. This suffice to close the -10 fault comment.


4. Verifying correct operation=C2=A0

Disposition: Partial

Registry calibration (e.g. score deviation less than 0.1) is described as an implementation activity. There is no mention of operator procedure for production checks.=C2=A0

e.g. How should operators periodically validate that normalized scores reflect actual instance capabilities? Correlating score trends with observed application QoE metrics, etc.


5. Metric update frequency / overhead

Disposition: Closed

Per-instance advertisement at most once per measurement window, plus guidance to use longer windows, Level 2-only advertisement, and statistical fields, is enough for the -10 churn comment.=C2=A0


6. Management interoperability

Disposition: Not addressed

Whether a YANG data model for CATS metric configuration, policy, and exposed state is needed or planned
How normalized scores and runtime parameters (Measurement_Window, aggregation weights) would be configured via standard management interfaces
Prometheus / NETCONF / IPFIX remain Level 0 collection examples. Operators may benefit with a short statement of what is configuration (normalization bounds, weights, Measurement_Window), what is operational state (current scores), and what is statistics (historical trends), even if YANG is deferred.


7. Migration / coexistence with TE/ALTO=C2=A0

Disposition: Not addressed

7.3's fallback to "traditional network-aware steering" does not say how Level 1 communication metrics relate to IGP TE metrics (RFC 7471), how to adopt incrementally without dual-metric steering conflicts, or whether there is any mapping to ALTO cost metrics (RFC 9439).


8. Role assignment / registry formatting=C2=A0

Disposition: Not addressed

Section 6.4.3.6 still has "Service contact instace" (likely C-SMA). Section 6.1.3.6 still has inline "### Output" after the C-PS role text.


9. Editorial and reference nits=C2=A0

Disposition: Not addressed

Still present from -10, plus new broken 4.4.x pointers after Section 4 was renumbered to 4.3.x, and the self-reference in 10.1 still points at an older version.=C2=A0


10. Accounting / performance management=C2=A0

Disposition: Not addressed

No rollover guidance for Measurement_Window accumulators, no retention guidance, no sentence on whether billing/SLA export is in scope.=C2=A0
One sentence that billing/SLA export is out of scope would close that sub-item.


I hope the above is useful.=C2=A0

regards,
Lim Fung



On 2026-09-04 16:26, Kehan Yao wrote:<= br>
Hi Fung,

Thanks so much for the review.
Authors have uploaded a new version with a new section on=C2=A0= operational considerations, including several important aspects that you mentioned below. Please further review if this version is okay.=C2=A0

Best regards,=
Kehan<= /div>

Internet-Draft draft-ietf-cats-metric-definition-11.txt is now available. It
is a work item of the Computing-Aware Traffic Steering (CATS) WG of the IETF.

=C2=A0 =C2=A0Title:=C2=A0 =C2=A0CATS Metrics Definition
=C2=A0 =C2=A0Authors: Kehan Yao
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Cheng Li
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 L. M. Contreras
= =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Jordi Ros-Giralt =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Guanming Zeng
=C2=A0 =C2=A0Name:=C2=A0 =C2=A0 draft-ietf-cats-metric-defini= tion-11.txt
=C2=A0 =C2=A0Pages:=C2=A0 =C2=A050
=C2=A0 =C2=A0Dates:=C2=A0 =C2=A02026-09-04

Abstract:

=C2=A0 =C2=A0Computing-Aware Traffic Steering (CATS) is a tra= ffic engineering
=C2=A0 =C2=A0approach that optimizes the steering of traffic = to a service instance
=C2=A0 =C2=A0by considering the dynamic state of computing an= d network resources.
=C2=A0 =C2=A0To enable such decisions, CATS components exchan= ge metrics that
=C2=A0 =C2=A0describe resource conditions affecting service i= nstance selection.
=C2=A0 =C2=A0This document focuses on compute and communicati= on metrics for CATS
=C2=A0 =C2=A0and defines a hierarchical abstraction of these = metrics to improve
=C2=A0 =C2=A0interoperability, scalability, and operational simplicity.=C2=A0 It does
=C2=A0 =C2=A0not aim to standardize raw infrastructure (Level= 0) metrics; instead,
=C2=A0 =C2=A0it specifies higher-level representations that c= an be derived from
=C2=A0 =C2=A0raw measurements using aggregation and normaliza= tion functions.

The IETF datatracker status page for this Internet-Draft is:<= br> https://datatracker.ietf.or= g/doc/draft-ietf-cats-metric-definition/

There is also an HTML version available at:
https://www.ietf.org/archiv= e/id/draft-ietf-cats-metric-definition-11.html

A diff from the previous version is available at:
https://author-tools.ietf.o= rg/iddiff?url2=3Ddraft-ietf-cats-metric-definition-11

Fung Lim via Datatracker <no= reply@ietf.org> =E4=BA=8E2026=E5=B9=B47=E6=9C=883=E6=97=A5=E5=91=A8=E4=BA=94 = 12:44=E5=86=99=E9=81=93=EF=BC=9A
Document: draft-ietf-cats-metric-definition
Title: CATS Metrics Definition
Reviewer: Fung Lim
Review result: Has Issues

Hi,

I have been selected as the Operational Directorate (opsdir) reviewer for this
Internet-Draft.

The Operational Directorate reviews all operational and management-related
Internet-Drafts to ensure alignment with operational best practices and that
adequate operational considerations are covered.

A complete set of _"Guidelines for Considering Operations and Management in
IETF Specifications"_ can be found at
https://datatracker.ietf.or= g/doc/draft-ietf-opsawg-rfc5706bis/.

While these comments are primarily for the Operations and Management Area
Directors (Ops ADs), the authors should consider them alongside other feedback
received.

- Document: draft-ietf-cats-metric-definition-10
- Reviewer: Fung Lim
- Review Date: 3rd July 2026
- Intended Status: Standards Track

---

## Summary

- Has Issues: I have concerns about this document that I think should be
resolved before publication.

This document defines a three-level hierarchical abstraction for
Computing-Aware Traffic Steering (CATS) metrics, standardizing Level 1 category
metrics (computing, communication, service, composed) and a Level 2 global
normalized score, along with a metric field framework. The design is
well-motivated: it deliberately avoids standardizing fine-grained Level 0
metrics while providing interoperable encodings and normative score semantics
at higher levels. The metric framework described in this document is sound and
several operational concerns are implicitly addressed.

However, as a Standards Track document that defines inputs to traffic-steering
decisions, it requires a dedicated Operational Considerations section (per
Section 3.1 of draft-ietf-opsawg-rfc5706bis). Several operational topics that
are partially scattered across design principles, registry entries, and
security text would benefit from consolidation into operator-facing guidance.
In particular, cross-vendor score comparability, metric collection failure
handling, control-plane churn from metric updates, and management interface
expectations should be addressed.

1. Missing Operational Considerations section (=C2=A73.1 of rfc5706bis)

Per draft-ietf-opsawg-rfc5706bis, a technical specification advancing as an
IETF RFC MUST include an Operational Considerations section immediately before
Security Considerations, or explicit boilerplate with rationale if none apply.
This document jumps from Section 6 (CATS Metric Registry Entries) directly to
Section 7 (Security Considerations).

For a Standards Track document whose metrics directly influence instance
selection and traffic steering, an Operational Considerations section is
essential rather than optional. The document already contains operationally
relevant material =E2=80=94 score semantics (Section 4.3), le= vel selection trade-offs
(Section 5), role assignments (C-SMA, C-NMA, C-PS in Section 6), calibration
guidance, and security requirements =E2=80=94 but it is not consolidated where
operators will look for it.

2. Cross-vendor score comparability needs explicit operational guidance (=C2=A74.1,
=C2=A74.5 of rfc5706bis)

Section 4.3 warns that normalized scores "may not be directly comparable across
different implementations" because aggregation and normalization functions are
implementation-specific. Section 4.2.1 and 4.2.2 state these functions "are not
standardized" and are "controlled by operator policies."

This is a fundamental operational constraint that affects multi-vendor and
multi-provider CATS deployments. An operator comparing a score of 7 from
Provider A against a score of 7 from Provider B has no assurance of equivalent
capability. The normative 0=E2=80=933 / 4=E2=80=937 / 8=E2=80= =9310 steering bands (Section 4.3) help
within a single administrative domain but do not solve cross-domain comparison.

The Operational Considerations section should address:

a. When scores are safe to use for steering (intra-domain only vs. inter-domain)
b. Whether operators should prefer Level 1 category metrics over Level 2 global
scores for multi-vendor environments c. How calibration (referenced in Section
6 registry entries) should be applied operationally =E2=80=94= who runs benchmarks, how
often, and what deviation thresholds trigger re-calibration d. Whether future
CATS signaling documents will carry normalization policy identifiers to aid
comparison

3. No fault management or troubleshooting guidance (=C2=A75.4= of rfc5706bis)

CATS metrics drive steering decisions. The document does not discuss how
operators detect or respond to metric-related faults:

Stale or missing metrics from C-SMA or C-NMA (Section 7 addresses freshness at
the security level via SEC-4, but not operational fallback behavior) Collection
agent failures or telemetry pipeline outages Score anomalies (sudden drops,
stuck values, contradictory Level 1 vs. Level 2 scores) Integrity violation
handling (SEC-1 says metrics SHOULD trigger alerts, but no alert schema or
operational procedure) Per =C2=A75.4 of rfc5706bis, essential= faults, alarms, and
events should be identified. At minimum, the document should discuss:

a. Fallback steering behavior when metrics are unavailable or fail freshness
checks b. Whether last-known-good values are used or instances are
de-prioritized c. Recommended health indicators for C-SMA, C-NMA, and C-PS
components

4. No guidance on verifying correct operation (=C2=A74.7 of rfc5706bis)

The registry entries include calibration methods (e.g., "score deviation ...
less than 0.1 over repeated test rounds") but the document does not describe
how operators verify end-to-end CATS metric operation in production:

Active vs. passive validation approaches
Synthetic workload injection for score validation
Correlation between normalized scores and observed application QoE
Simple health checks (e.g., confirming C-SMA is publishing expected metric
types at expected intervals) Section 6 registry entries reference benchmark
calibration but treat it as an implementation activity without operator-facing
procedures.

5. Metric update frequency and control-plane impact not addressed (=C2=A74.5 of
rfc5706bis)

Section 3.1 discusses the trade-off between metric update frequency and
"signaling overhead, reducing scalability of the metric distribution protocol."
Section 6 suggests continuous sampling every 10 seconds with a default
Measurement_Window of 10 seconds.

However, the document does not quantify or guide:

Recommended maximum metric advertisement rate per service instance
Impact of high churn on CATS control-plane protocols (to be defined in
companion documents) When coarser sampling or Level 2-only advertisement is
preferable to reduce overhead Interaction between Statistics field choices
(max, min, mean, cur) and update frequency This is particularly important
because CATS may scale to hundreds or thousands of service instances (Section
5).

Nits

6. No management interoperability discussion (=C2=A75.2 of rfc5706bis)

The document references Prometheus, NETCONF, and IPFIX for Level 0 metric
collection but does not discuss:

Whether a YANG data model for CATS metric configuration, policy, and exposed
state is needed or planned How normalized scores and runtime parameters
(Measurement_Window, aggregation weights) would be configured via standard
management interfaces Distinction between configuration data (normalization
bounds, weights), operational state (current scores), and statistics
(historical trends) For a Standards Track metric definition consumed by network
elements, some discussion of management model expectations =E2= =80=94 even if deferred
to a companion document =E2=80=94 would help operators plan deployments.

7. Migration and coexistence with existing metrics (=C2=A74.3= of rfc5706bis)

The Introduction references existing TE metrics (RFC 7471) and network
performance registries (RFC 8911, RFC 8912). The document does not discuss:

How CATS Level 1 communication metrics relate to or subsume existing IGP TE
metrics Whether operators can incrementally adopt CATS metrics alongside
traditional TE without dual-metric steering conflicts Mapping or equivalence
between ALTO performance cost metrics (RFC 9439) and CATS normalized scores A
brief migration narrative would help operators who already run TE metric
extensions.

8. Role assignment ambiguity in registry entries

Section 6.4.3.6 assigns metric calculation to "Service contact instance" rather
than C-SMA (used consistently elsewhere). Section 6.1.3.6 contains a formatting
error where ### Output appears inline after the C-PS role description,
disrupting the registry structure.

Section 6.4.3.6:
=
Service contact instace: Collects Level 0 service raw metrics...

This should likely reference C-SMA for consistency with the framework
terminology.

9. Editorial and reference nits

"Section Section 4.4" (Section 4.1, line 605) =E2=80=94 dupli= cate word
"To-be-assgined" =E2=86=92 "To-be-assigned" (Sections 6.1.4.2= , 6.2.5.2, 6.3.5.2)
"Service contact instace" =E2=86=92 "Service contact instance= " (Section 6.4.3.6)
Normative self-reference [I-D.ietf-cats-metric-definition] points to draft-08
(Section 9.1) =E2=80=94 should reference the current draft ve= rsion Appendix A examples
use inconsistent Source capitalization ("Directly measured" vs. lowercase
'directly measured' in Section 4.1) IANA placeholder "XXX" identifiers
throughout Section 6 =E2=80=94 expected for draft stage, but Operational Considerations
should note operators need stable identifiers before deployment

10. Accounting and performance management partially addressed

Section 6 registry entries define singleton output values and calibration
targets, which is a good start. However:

No counter rollover behavior for Measurement_Window accumulators
No guidance on historical metric retention for capacity planning
No discussion of metric export for billing or SLA reporting (may be N/A for
some deployments, but worth a sentence)

Recommendations

1. Add an Operational Considerations section immediately before Security
Considerations. Consolidate scattered operational material and address: metric
level selection, runtime parameter defaults, cross-vendor score limitations,
metric collection failures and fallback steering, update rate guidance, and
coexistence with existing TE metrics.

2. Document fault management and fallback behavior. Specify what happens when
C-SMA/C-NMA stops publishing, metrics fail freshness checks (SEC-4), or scores
are contradictory. Define minimum health indicators and recommended alert
conditions.

3. Add verification guidance. Describe how operators validate that normalized
scores reflect actual instance capability =E2=80=94 referenci= ng the calibration methods
already in Section 6 registry entries and extending them into deployable
procedures (synthetic workloads, periodic re-calibration, QoE correlation).

4. Clarify cross-domain and multi-vendor deployment constraints. Expand Section
4.3's comparability warning into explicit operational guidance: when scores are
trustworthy, when Level 1 categories are preferable to Level 2 global scores,
and how calibration maintains consistency within an administrative domain.

5. Discuss management model expectations. Even if a YANG module is deferred,
state whether configuration of normalization bounds, aggregation weights, and
Measurement_Window is expected via NETCONF/RESTCONF or operator-local policy,
and how config vs. operational state vs. statistics should be distinguished.

6. Address metric advertisement churn. Provide guidance on sampling intervals,
maximum update rates, and when to prefer Level 2 over Level 1 to limit
control-plane overhead at scale.

7. Fix editorial issues in Section 6 registry entries (inline ### Output, role
naming inconsistency, typos) and update the normative self-reference to the
current draft version.

8. Add a brief migration narrative explaining how CATS metrics complement or
replace existing IGP TE metrics and ALTO cost metrics during incremental
adoption.

I hope these comments are useful and constructive. The hierarchical metric
framework is well-conceived and addresses a genuine interoperability need for
CATS; adding consolidated operational guidance will significantly improve its
deployability in multi-vendor environments.

Lim Fung


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