CCAMP Working Group S. Xu, Ed.
Internet-Draft Y. Hirota
Intended status: Informational Y. Awaji
Expires: 3 September 2026 NICT
2 March 2026
Problem Statement: Information Sharing of Optical Impairments in
Monitoring of Multi-Domain All-Optical Paths
draft-xu-ccamp-impairment-info-sharing-problem-00
Abstract
In multi-domain all-optical Wavelength Switched Optical Networks
(WSONs), end-to-end services may traverse multiple administrative
domains operated by different entities. Monitoring such services
requires visibility into optical impairments that accumulate across
domain boundaries. However, exchanging impairment-related
information raises operational, scalability, and confidentiality
concerns. Detailed metrics such as attenuation, noise, nonlinear
effects, and filtering penalties may be necessary for accurate
performance assessment, yet they can expose sensitive topology,
equipment, or utilization information.
This document describes the problem space associated with sharing
optical impairment information across administrative domains for
monitoring purposes. It highlights the need to balance operational
visibility and confidentiality preservation, and outlines
considerations for abstraction, information granularity, and trust
relationships among participating operators.
Status of This Memo
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This Internet-Draft will expire on 3 September 2026.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3
1.1. Terminology and Notations . . . . . . . . . . . . . . . . 4
1.2. Requirements Language . . . . . . . . . . . . . . . . . . 4
2. Requirements for Collaborative Cross-Domain Performance Data
Sharing . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.1. Peer Networks and Multi-Domain Optical Path . . . . . . . 4
2.2. Signal Degradation . . . . . . . . . . . . . . . . . . . 5
2.3. Requirements for Collaborative Cross-Domain Performance
Data Sharing . . . . . . . . . . . . . . . . . . . . . . 5
3. Use Cases for Collaborative Cross-Domain Performance Data
Sharing . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.1. Rapid Restoration via Domain-Level Localization . . . . . 6
3.2. Quantitative Evidence for SLA Violation Attribution . . . 7
4. Problem Statement for Collaborative Cross-Domain Performance
Data Sharing . . . . . . . . . . . . . . . . . . . . . . 7
4.1. Limited Optical Observability at Domain Boundaries . . . 7
4.2. Confidentiality-Preserving Information Sharing . . . . . 8
4.3. Implications for Solution Design . . . . . . . . . . . . 9
5. Security Considerations . . . . . . . . . . . . . . . . . . . 10
5.1. Confidentiality . . . . . . . . . . . . . . . . . . . . . 10
5.2. Integrity and Authenticity . . . . . . . . . . . . . . . 10
5.3. Trust Model . . . . . . . . . . . . . . . . . . . . . . . 11
5.4. Denial-of-Service Considerations . . . . . . . . . . . . 11
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 11
7. Normative References . . . . . . . . . . . . . . . . . . . . 11
8. Informative References . . . . . . . . . . . . . . . . . . . 12
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 12
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1. Introduction
To provision an optical connection (hereafter referred to as an
optical path), [RFC7446] defines an information model to address the
Routing and Wavelength Assignment (RWA) problem in Wavelength
Switched Optical Networks (WSONs). [RFC9094] specifies the
corresponding YANG data model. In addition, [RFC6556] addresses
optical impairments and their impact on signal quality in the context
of impairment-aware RWA (IA-RWA). The Internet-Draft [I-D.ietf-
ccamp-optical-impairment-topology-yang] further extends the YANG data
modeling of impairment-related topology attributes. Collectively,
these works facilitate path computation, provisioning, and validation
while accounting for optical impairment constraints within a single
administrative domain.
However, for an all-optical path spanning multiple administrative
domains, an information model for monitoring and analyzing
impairment-induced signal degradation and failures remains an open
issue. Optical impairments such as Optical Signal-to-Noise Ratio
(OSNR), Generalized Signal-to-Noise Ratio (GSNR), nonlinear noise,
chromatic dispersion (CD), and polarization mode dispersion (PMD) may
accumulate across domain boundaries and degrade end-to-end service
performance. When a receiver detects degraded performance or failure
of a multi-domain optical path, it is operationally desirable to
localize the domain(s) that contribute most significantly to the
degradation and to enable timely corrective actions within the
responsible domain(s).
In a multi-domain optical path service, each participating domain may
contribute to the accumulated degradation along the end-to-end path.
Effective monitoring therefore requires the exchange of performance-
related information at domain demarcation points, enabling
quantitative assessment of each domain's contribution to signal
degradation. This introduces the need for an information model that
(1) supports the sharing of performance-related information among
relevant domains, and (2) enables analytical methods to assist in
identifying the domain(s) most likely responsible for observed
degradation.
Because such analytical methods depend on the set of information that
can be exchanged across administrative boundaries, a clear
understanding of information-sharing requirements and constraints is
necessary. Accordingly, this document focuses on the problem
statement associated with sharing performance-related information
among domains in multi-domain WSON environments. The specification
of a complete information model, including detailed data structures
and analytical procedures for degradation attribution or failure
responsibility determination, is outside the scope of this document.
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1.1. Terminology and Notations
The terminology related to WSON impairments and associated concepts
used in this document is consistent with
[I-D.ietf-ccamp-optical-impairment-topology-yang]. Readers are
referred to that document for definitions of impairment parameters
and related terms.
1.2. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in BCP
14 [RFC2119] [RFC8174] when, and only when, they appear in all
capitals, as shown here.
2. Requirements for Collaborative Cross-Domain Performance Data Sharing
2.1. Peer Networks and Multi-Domain Optical Path
-------------- --------------
| Domain A | ------------- | Domain C |
| | | Domain B | | |
| ----- | | | | ----- |
| |Src T|-X-->a+-->+b------X--->c+-->+d--X->|R Dst| |
| | R|<----h+<--+g<----------f+<--+e<----|T | |
| ----- | | | | ----- |
-------------- ------------- --------------
Figure 1: Peer Networks and a multi-domain all-optical path
Figure 1 illustrates an example of interconnected multi-domain WSONs
in the data plane (D-Plane), consisting of Domains A, B, and C under
different administrative control. A bidirectional end-to-end optical
path is provisioned between a source transceiver in Domain A and a
destination transceiver in Domain C. The path traverses domain
border nodes (e.g., nodes a to d in the downstream direction and
nodes e to h in the upstream direction).
The provisioned optical path satisfies impairment-related
constraints, including tolerance thresholds for parameters such as
OSNR and GSNR. For simplicity, internal optical nodes, links, and
control-plane elements are not shown in the figure. Each domain is
assumed to operate its own control plane (C-Plane), potentially based
on the Abstraction and Control of Traffic Engineered Networks (ACTN)
architecture [RFC8453]. The C-Plane may provide monitoring and
telemetry capabilities within the administrative domain.
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2.2. Signal Degradation
Signal degradation along a multi-domain optical path may result from
accumulated optical impairments, such as additional noise introduced
by optical amplifiers. Such impairments propagate along the path and
may accumulate at the receiving endpoint. As illustrated in
Figure 1, OSNR degradation may occur at specific locations within
Domains A and B along the downstream direction. The impairment
contributions from multiple domains accumulate and may result in
significant end-to-end signal degradation. Furthermore, noise
introduced in upstream domains may be further amplified by optical
amplifiers in downstream domains, potentially increasing its impact
on the final OSNR observed at the receiver [ZYSKIND2016].
For illustration purposes, Figure 1 and this document explain
degradation and failure in the downstream direction only. Similar
impairment scenarios may occur in the upstream direction or in both
directions.
2.3. Requirements for Collaborative Cross-Domain Performance Data
Sharing
At the receiving endpoint, a service failure may be declared when
accumulated impairment causes the observed OSNR or GSNR to exceed the
configured tolerance threshold. In some cases, analysis of the
received signal may provide indications of localized loss or optical
power variation along the optical path. For example, Digital
Longitudinal Monitoring (DLM) techniques [SASAI2024] may assist in
estimating impairment distribution along the path. An alarm
notification that includes such monitoring information may be
generated and delivered to the controller of the destination domain
(e.g., Domain C).
While DLM-based information may help identify abnormal optical power
variation, it is generally insufficient to determine the detailed
contribution of each administrative domain to the observed OSNR
degradation. Accurate attribution may require additional impairment-
related parameters, such as amplifier noise figures or other domain-
specific characteristics, which are not locally available to the
destination domain controller. Without such information,
quantitative assessment of domain-level responsibility remains
challenging.
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Accordingly, collaborative mechanisms for sharing performance-related
information among the relevant administrative domains (e.g., Domains
A through C) are necessary to support degradation analysis of multi-
domain optical paths. Such information exchange is intended to
assist in identifying the domain(s) that most significantly
contribute to observed impairment and to facilitate appropriate
operational response.
These considerations motivate the need for controlled and
interoperable exchange of impairment-related information across
administrative boundaries.
3. Use Cases for Collaborative Cross-Domain Performance Data Sharing
By exchanging the minimum necessary performance-related information
for a degraded or failed multi-domain optical path (e.g., information
obtained via monitoring, telemetry, and analysis systems),
participating administrative domains can perform coordinated and
quantitative analysis of impairment contributions. Such analysis may
assist in identifying and localizing the domain(s) that contribute
most significantly to the observed degradation. The following
subsections describe representative use cases.
3.1. Rapid Restoration via Domain-Level Localization
When service degradation or failure is detected, a straightforward
restoration approach is to provision a new end-to-end multi-domain
optical path. For example, the controller in the destination domain
(e.g., Domain C) may initiate end-to-end reprovisioning across all
traversed domains.
Alternatively, if the affected administrative domain(s) can be
identified through collaborative impairment analysis, restoration
actions may be confined to the responsible domain(s). In this case,
local reoptimization or reprovisioning between the relevant border
nodes (e.g., within Domain B) may be sufficient, provided that
wavelength continuity and impairment constraints are satisfied.
Compared to full end-to-end reprovisioning, domain-local restoration
may reduce operational cost and restoration time by limiting the
scope of reconfiguration to the affected administrative domain.
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3.2. Quantitative Evidence for SLA Violation Attribution
Coordinated quantitative analysis of impairment contributions across
domains may provide a common and verifiable basis for assessing
service performance. Such analysis can assist stakeholders in
determining whether a Service Level Agreement (SLA) violation has
occurred and in identifying the administrative domain(s) primarily
responsible for the degradation.
By enabling objective attribution based on shared performance data,
collaborative analysis may reduce ambiguity in responsibility
determination during multi-domain degradation or failure events.
These use cases illustrate the operational value of collaborative
cross-domain performance data sharing. In particular, they highlight
the need for mechanisms that support controlled information exchange
among administrative domains to facilitate degradation localization
and responsibility attribution in multi-domain WSON deployments.
4. Problem Statement for Collaborative Cross-Domain Performance Data
Sharing
The use cases described in Section 3 illustrate the operational value
of collaborative cross-domain performance analysis. However,
realizing these use cases in practice requires careful consideration
of architectural and policy constraints that affect cross-domain
information exchange. This section examines these constraints and
defines the associated problem space. In particular, limited optical
observability at domain boundaries and confidentiality restrictions
on detailed intra-domain information significantly affect the scope
and granularity of shareable data.
The following subsections examine these constraints and their
implications for collaborative cross-domain performance analysis.
4.1. Limited Optical Observability at Domain Boundaries
In optical transport networks, signals are transmitted as continuous
optical waveforms without protocol headers or discrete packet
structures that can be inspected at intermediate nodes. As a result,
intrinsic observability of end-to-end optical paths is limited,
particularly at administrative domain boundaries where signals
traverse border nodes transparently.
At domain border nodes, monitoring devices MAY be deployed at ingress
and/or egress ports to observe signal quality parameters associated
with multi-domain optical paths. When such devices are deployed,
consistent telemetry capabilities and data representations are
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desirable to enable meaningful cross-domain analysis. In the absence
of standardized telemetry definitions and formats, implementations
from different vendors may expose heterogeneous metrics, thereby
complicating correlation and interpretation across domains.
In some deployments, monitoring devices may not be installed at
border nodes due to cost, operational, or architectural
considerations. In such cases, impairment-related information at
domain boundaries may need to be derived through estimation performed
by the domain controller. Estimation typically relies on intra-
domain monitoring and telemetry data and on impairment models
maintained within the administrative domain.
However, estimation accuracy and update frequency may be constrained
by computational complexity, particularly in large-scale WSON
environments. Operators may therefore balance estimation precision
against processing overhead and reporting frequency. Consequently,
boundary observability may be limited in terms of both measurement
accuracy and temporal resolution. This limitation constitutes a
fundamental constraint on the availability and reliability of cross-
domain performance data.
4.2. Confidentiality-Preserving Information Sharing
Accurate degradation analysis within a single-domain WSON requires
detailed physical-layer, operational, and topological information.
Such information typically includes per-span loss, amplifier gain and
noise figure, launch and receive power levels, OSNR, CD, PMD,
nonlinear impairment estimates, spectrum occupancy, filter narrowing
effects, and ROADM configuration states. Real-time performance
indicators, such as pre-/post-FEC BER, Q-factor, and optical power
drift, are also necessary to assess signal quality evolution.
Furthermore, precise topology knowledge, including fiber routes, span
lengths, amplifier placement, protection status, and recent
configuration changes, is essential to localize degradation within
the domain.
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While this level of visibility is required for accurate intra-domain
diagnosis, much of the information is considered confidential and
cannot be disclosed across administrative boundaries. Detailed
topology data may reveal internal network design, vendor selection,
or infrastructure investment strategy. Precise OSNR margins,
nonlinear penalty estimates, and utilization levels may expose
engineering margins, residual capacity, or congestion conditions.
Even certain performance trends or spectrum usage information could
enable external inference of traffic load, protection mechanisms, or
commercial priorities. As a result, unrestricted sharing of raw
performance data is typically infeasible in multi-operator
environments.
Consequently, collaborative cross-domain degradation localization
must operate under confidentiality constraints. Information exchange
therefore relies on abstraction and aggregation mechanisms, as
described in [RFC7926]. Abstraction represents an administrative
domain using simplified virtual nodes or abstract links, exposing
only selected high-level attributes rather than detailed internal
state. Aggregation further compresses multiple metrics into
summarized health indicators or impairment classes. In the event of
degradation, each domain performs internal analysis locally and
exports only abstracted status indicators or alarm summaries to the
relevant administrative domains.
While this approach preserves confidentiality and supports
scalability, it inherently reduces diagnostic granularity. Cross-
domain fault localization therefore becomes a distributed inference
process under partial visibility, rather than a direct measurement
problem with complete information.
4.3. Implications for Solution Design
The constraints described in Sections 4.1 and 4.2 have direct
implications for any mechanism intended to support collaborative
cross-domain performance data sharing.
First, limited observability at domain boundaries implies that
solutions cannot assume uniform availability of precise measurement
data. Mechanisms SHOULD accommodate heterogeneous telemetry
capabilities and varying levels of measurement accuracy across
administrative domains. In some cases, derived or estimated
information may need to be used in place of direct measurements.
Second, confidentiality requirements restrict the scope and
granularity of information that can be exchanged. Solutions
therefore need to support abstraction and aggregation of impairment-
related data, allowing domains to expose only the minimum necessary
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information required for cross-domain correlation. The exchanged
information SHOULD avoid revealing detailed internal topology,
vendor-specific characteristics, or sensitive operational parameters.
Third, because degradation localization under partial visibility
becomes a distributed inference problem, solution designs need to
consider correlation logic that operates on abstracted indicators
rather than raw physical-layer data. This may involve standardized
health indicators, impairment classes, or summarized performance
metrics suitable for inter-domain exchange.
In summary, collaborative cross-domain performance analysis in multi-
domain WSON environments must operate under constrained observability
and confidentiality-preserving abstraction. These constraints define
the boundaries within which interoperable and scalable information-
sharing mechanisms can be developed.
5. Security Considerations
Collaborative cross-domain performance data sharing introduces
security considerations related to confidentiality, integrity,
authenticity, and trust among administrative domains.
5.1. Confidentiality
Impairment-related information may reveal sensitive details regarding
internal topology, equipment characteristics, engineering margins, or
operational status. Unauthorized disclosure of such information
could expose infrastructure design choices, residual capacity, or
commercial strategy.
Mechanisms supporting cross-domain information exchange SHOULD ensure
that only the minimum necessary abstracted information is shared.
Confidentiality protection SHOULD include appropriate access control,
policy enforcement, and, where applicable, encryption of inter-domain
communications.
5.2. Integrity and Authenticity
Incorrect or manipulated performance data may lead to improper fault
localization, incorrect responsibility attribution, or unnecessary
restoration actions. Therefore, exchanged information MUST be
protected against unauthorized modification in transit.
Inter-domain communication mechanisms SHOULD support integrity
protection and mutual authentication between participating
administrative domains. The receiving entity SHOULD be able to
verify the origin and integrity of impairment-related reports.
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5.3. Trust Model
Collaborative degradation analysis relies on trust relationships
between administrative domains. Because fault localization under
partial visibility becomes a distributed inference process,
inaccurate or incomplete information from one domain may affect
overall analysis accuracy.
Solution designs SHOULD clearly define trust assumptions, including:
(1) The level of confidence in abstracted indicators, (2) The scope
of shared data, and (3) The authority responsible for coordination
and correlation.
In environments involving multiple operators, contractual and policy
agreements may complement technical safeguards to establish
accountability and acceptable information-sharing boundaries.
5.4. Denial-of-Service Considerations
Frequent telemetry exchanges or large volumes of impairment data may
increase control-plane processing load. Mechanisms SHOULD consider
rate limiting, aggregation, and filtering to mitigate potential
resource exhaustion or signaling overload.
6. IANA Considerations
TBD
7. Normative References
[I-D.ietf-ccamp-optical-impairment-topology-yang]
Beller, D., Ed., Le Rouzic, E., Belotti, S., Galimberti,
G., and I. Busi, "A YANG Data Model for Optical
Impairment-aware Topology", Work in Progress, Internet-
Draft, draft-ietf-ccamp-optical-impairment-topology-yang-
23, February 2026, .
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
.
[RFC6556] Lee, Y., Ed., Bernstein, G., Ed., Li, D., and G.
Martinelli, "A Framework for the Control of Wavelength
Switched Optical Networks (WSONs) with Impairments",
RFC 6556, DOI DOI 10.17487/RFC6566, March 2012,
.
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[RFC7446] Lee, Y., Ed., Bernstein, G., Ed., Li, D., and W. Imajuku,
"Routing and Wavelength Assignment Information Model for
Wavelength Switched Optical Networks", RFC 7446,
DOI 110.17487/RFC7446, February 2015,
.
[RFC7926] Farrel, A., Ed., Drake, J., Bitar, N., Swallow, G.,
Ceccarelli, D., and X. Zhang, "Problem Statement and
Architecture for Information Exchange between
Interconnected Traffic-Engineered Networks", RFC 7926,
DOI DOI 10.17487/RFC7926, July 2016,
.
[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, .
[RFC9094] Zheng, H., Lee, Y., Guo, A., Lopez, V., and D. King, "A
YANG Data Model for Wavelength Switched Optical Networks",
RFC 9094, DOI DOI 10.17487/RFC9094, August 2021,
.
8. Informative References
[SASAI2024]
Sasai, T., Takahashi, M., Nakamura, M., Yamazaki, E., and
Y. Kisaka, "Linear Least Squares Estimation of Fiber-
longitudinal Optical Power Profile", Journal of Lightwave
Technology vol. 42, no. 6, pp. 1955–1965, 2024.
[ZYSKIND2016]
Zyskind, J., "Optically Amplified WDM Networks",
Publisher Academic Press, 2016.
Authors' Addresses
Sugang Xu (editor)
NICT
Email: xsg@nict.go.jp
Yusuke Hirota
NICT
Email: hirota.yusuke@nict.go.jp
Yoshinari Awaji
NICT
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Email: yossy@nict.go.jp
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