NMOP Working Group T. Hu
Internet-Draft CMCC
Intended status: Standards Track L. M. C. Murillo
Expires: 13 April 2025 Telefonica I+D
Q. Wu
Huawei
N. Davis
Ciena
C. Feng
10 October 2024
A YANG Data Model for Network Incident Management
draft-ietf-nmop-network-incident-yang-02
Abstract
A network incident refers to an unexpected interruption of a network
service, degradation of a network service quality, or sub-health of a
network service. Different data sources including alarms, metrics,
and other anomaly information can be aggregated into a few amount of
network incidents through data correlation analysis and the service
impact analysis.
This document defines a YANG Module for the network incident
lifecycle management. This YANG module is meant to provide a
standard way to report, diagnose, and help resolve network incidents
for the sake of network service health and root cause analysis.
Status of This Memo
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provisions of BCP 78 and BCP 79.
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This Internet-Draft will expire on 13 April 2025.
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Table of Contents
1. Introduction
2. Conventions and Definitions
3. Sample Use Cases
3.1. Incident-Based Trouble Tickets Dispatching
3.2. Incident Derivation from L3VPN Services Unavailability
3.3. Multi-layer Fault Demarcation
4. Network Incident Management Architecture
4.1. Interworking with Alarm Management
4.2. Interworking with SAIN
4.3. Relationship with RFC8969
4.4. Relationship with Trace Context
5. Functional Interface Requirements between the Client and the
Server
5.1. Incident Identification
5.2. Incident Diagnosis
5.3. Incident Resolution
6. Incident Data Model Concepts
6.1. Identifying the Incident Instance
6.2. The Incident Lifecycle
6.2.1. Incident Instance Lifecycle
6.2.2. Operator Incident Lifecycle
7. Incident Data Model Design
7.1. Overview
7.2. Incident Notifications
7.3. Incident Acknowledge
7.4. Incident Diagnose
7.5. Incident Resolution
7.6. RPC Failure
8. Network Incident Management YANG Module
9. Security Considerations
10. IANA Considerations
10.1. The "IETF XML" Registry
10.2. The "YANG Module Names" Registry
Acknowledgments
References
Normative References
Informative References
Appendix A. Appendix Examples
Appendix B. Changes between Revisions
Contributors
Authors' Addresses
1. Introduction
[RFC8969] defines a framework for Automating Service and Network
Management with YANG [RFC7950] to full life cycle network management.
A set of YANG data models have already been developed in IETF for
network performance monitoring and fault monitoring, e.g., a YANG
data model for alarm management [RFC8632] defines a standard
interface for alarm management. A data model for Network and VPN
Service Performance Monitoring [RFC9375] defines a standard interface
for network performance management. In addition, distributed tracing
mechanism defined in [W3C-Trace-Context] can be used to analyze and
debug operations, such as configuration transactions, across multiple
distributed systems.
However, these YANG data models for network maintenance are based on
specific data source information and manage alarms and performance
metrics data separately at different layers in various different
management systems. In addition, the frequency and quantity of
alarms and performance metrics data reported to Operating Support
System (OSS) are increased dramatically (in many cases multiple
orders of magnitude) with the growth of service types and complexity
and greatly overwhelm OSS platforms; with existing known dependency
relation between metric, alarm and events at each layer (e.g., packet
layer or optical layer), it is possible to compress series of alarms
into fewer network incidents and there are many solutions in the
market today that essentially do this to some degree. However,
conventional solutions such as data compression are time-consuming
and labor-intensive, usually rely on maintenance engineers'
experience for data analysis, which, in many cases, result in low
processing efficiency, inaccurate root cause identification and
duplicated tickets. It is also difficult to assess the impact of
alarms, performance metrics and other anomaly data on network
services without known relation across layers of the network topology
data or the relation with other network topology data.
To address these challenges, a network wide incident-centric solution
is specified to establish the dependency relation with both network
service and network topology at different layers, which not only can
be used at a specific layer in a domain but also can be used to span
across layers for multi-layer network troubleshooting.
A network incident refers to an undesired occurrence such as an
unexpected interruption of a network service,degradation of a network
service quality, or sub-health of a network service
[I-D.ietf-nmop-terminology][TMF724A]. Different data sources
including alarms, metrics, and other anomaly information can be
aggregated into one or a few amount of network incidents irrespective
layer through correlation analysis and the service impact analysis.
For example, if the protocol-related interface fails to work
properly, large amount of alarms may be reported to upper layer
management system since a lot of network services may be affected by
the interface, but only one aggregated network incident pertaining to
the abnormal interface will be reported. A network incident may also
be raised through the analysis of some network performance metrics,
for example, as described in SAIN [RFC9417], network services can be
decomposed to several sub-services, specific metrics are monitored
for each sub- service, symptoms will occur if services/sub-services
are unhealthy (after analyzing metrics), these symptoms may raise one
network incident when it causes degradation of the network services.
In addition, Artificial Intelligence (AI) and Machine Learning (ML)
are key technologies in the processing of large amounts of data with
complex data correlations. For example, Neural Network Algorithm or
Hierarchy Aggregation Algorithm can be used to replace manual alarm
data correlation. Through online and offline self-learning, these
algorithms can be continuously optimized to improve the efficiency of
fault diagnosis.
This document defines a YANG data model for network incident
lifecycle management, which improves troubleshooting efficiency,
ensures network service quality, and improves network automation
[RFC8969].
2. Conventions and Definitions
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.
The following terms are defined in [RFC8632],
[I-D.ietf-nmop-terminology] and are not redefined here:
* alarm
* event
* problem
* incident
The following terms are defined in this document:
Network incident: An undesired occurrence such as an unexpected
interruption of a network service,degradation of a network service
quality, or sub-health of a network service [TMF724A]. A network
incident is a single unplanned event that causes network service
interruption. A problem is one cause or potential cause of one or
more network incidents. The repeated network incidents can be
raised as the problem.
Incident management: Lifecycle management of network incidents,
including network incident identification, reporting,
acknowledgement, diagnosis, and resolution. Different from fault
management, it take various different data sources including
alarms, metrics, and other anomaly information and aggregate them
into one or a few amount of network incidents irrespective layer
through correlation analysis and the service impact analysis. One
fault on the network device can be raised by one network incident,
one fault on the network device can cause multiple network
incidents, e.g., multiple service offerings that are dependent on
that device will go down and others may suffer increased latency
as redundant routes become more congested.
Incident management system: An entity which implements network
incident management. It includes (but not limited to) incident
server and incident client.
Incident server: An entity which provides which is responsible for
detecting and reporting one network incident, performing network
incident diagnosis, resolution and prediction, etc.
Incident client: An entity which can manage network incidents. For
example, it can receive network incident notifications, query the
information of network incidents, instruct an incident management
server to diagnose, help resolve, etc.
Incident handler: An entity which can receive network incident
notification, store and query the information of network incidents
for data analysis.
3. Sample Use Cases
3.1. Incident-Based Trouble Tickets Dispatching
Usually, the dispatching of trouble tickets in a network is mostly
based on alarms data analysis and needs to involve operators'
maintenance engineers. These operators' maintenance engineers are
responsible to monitor and detect and correlate some alarms, e.g.,
that alarms at both endpoints of a specific tunnel or at both optical
and IP layers which are associated with the same network fault.
Therefore, they can correlate these alarms to the same trouble
ticket, which is in the low automation. If there are more alarms,
then the human costs for network maintenance are increased
accordingly.
Some operators preconfigure accept-lists and adopt some coarse
granularity data correlation rules for the alarm management. This
approach seems to improve fault management automation. However, some
trouble tickets might be missed if the filtering conditions are too
strict. If the filtering conditions are not strict, it might end up
with multiple trouble tickets being dispatched to the same network
fault. It is hard to achieve a perfect balance between the network
management automation and duplicated trouble tickets under the
conventional working situations.
With the help of the network incident management, massive alarms can
be aggregated into a few network incidents based on service impact
analysis, the number of trouble tickets will be reduced. At the same
time, the efficiency of network troubleshooting can be largely
improved. which address the pain point of traditional trouble ticket
dispatching.
3.2. Incident Derivation from L3VPN Services Unavailability
The Service Attachment Points (SAPs) defined in [RFC9408] represent
the network reference points where network services can be delivered
or are being delivered to customers.
SLOs can be used to characterize the ability of a particular set of
nodes to communicate according to certain measurable expectations
[I-D.ietf-ippm-pam]. For example, an SLA might state that any given
SLO applies to at least a certain percentage of packets, allowing for
a certain level of packet loss and exceeding packet delay threshold
to take place. For example, an SLA might establish a multi-tiered
SLO of end-to-end latency as follows:
* Not to exceed 30 ms for any packet.
* Not to exceed 25 ms for 99.999% of packets.
* Not to exceed 20 ms for 99% of packets.
This SLA information can be bound with two or multiple SAPs defined
in [RFC9408], so that the service orchestration layer can use these
interfaces to commit the delivery of a service on specific point-to-
point service topology or point to multi-point topology. When
specific levels of a threshold of an SLO is violated, a specific
network incident, associated with, let's say L3VPN service will be
derived.
3.3. Multi-layer Fault Demarcation
When a fault occurs in a network that contains both packet-layer
devices and optical-layer devices, it may cause correlative faults in
both layers, i.e., packet layer and optical layer. Specifically,
fault propagation could be classified into three typical types.
First, fault occurs at a packet-layer device will further cause fault
(e.g., Wavelength Division Multiplexing (WDM) client fault) at an
optical-layer device. Second, fault occurs at an optical-layer
device will further cause fault (e.g., Layer 3 link down) at a
packet- layer device. Third, fault occurs at the inter-layer link
between a packet-layer device and an optical-layer device will
further cause faults at both devices. Multiple operation teams are
usually needed to first analyze huge amount of alarms (triggered by
the above mentioned faults) from single network layer (either packet
layer or optical layer)independently, then cooperate to locate the
root cause through manually analyzing multi-layer topology data and
service data, thus fault demarcation becomes more complex and time-
consuming in multi-layer scenario than in single-layer scenario.
With the help of network incident management, the management systems
first automatically analyze root cause of the alarms at each single
network layer and report corresponding network incidents to the
multi-layer,multi-domain management system, then such management
system comprehensively analyzes the topology relationship and service
relationship between the root causes of both layers. The inner
relationship among the alarms will be identified and finally the root
cause will be located among multiple layers. By cooperating with the
integrated Optical time-domain reflectometer (OTDR) within the
network device, we can determine the target optical exchange station
before site visits. Therefore, the overall fault demarcation process
is simplified and automated, the analyze result could be reported and
visualized in time. In this case, operation teams only have to
confirm the analyze result and dispatch site engineers to perform
relative maintenance actions (e.g., splice fiber) based on the root
cause.
4. Network Incident Management Architecture
+------------------------------------------+
| |
| Incident Client |
| |
| |
+------------+---------+---------+---------+
^ | | |
|Incident |Incident |Incident |Incident
|Report |Ack |Diagnose |Resolve
| | | |
| V V V
+--+----------------------------------------+
| |
| |
| Incident Server |
| |
| |
| |
| |
+-------------------------------+-----------+
^ ^Abnormal ^
|Alarm |Operations |Metrics
|Report |Report |/Telemetry
| | V
+----------+-------+------------------------------------+
| |
| Network |
| |
+-------------------------------------------------------+
Figure 1: Network Incident Management Architecture
Figure 1 illustrates the network incident management architecture.
Two key components for the incident management are incident client
and incident server.
Incident server can be deployed in network analytics platform,
controllers and provides functionalities such as network incident
identification, report, diagnosis, resolution, or querying for
network incident lifecycle management.
Incident client can be deployed either in the same network platform,
controller as the incident management server within a single domain,
or in the upper layer network analytics platform or controller, e.g.,
multi-domain controller, invokes the functionalities provided by
incident management server to meet the business requirements of fault
management. The entire network incident lifecycle management can be
independent from or not under control of the network OSS or other
business system of operators.
A typical workflow of network incident management is as follows:
* Some alarms or abnormal operations, network performance metrics
are reported from the network. Incident server receives these
alarms/abnormal operations/metrics and try to analyze the
correlation of them, if the network incidents are identified, it
will be reported to the incident client. The impact of network
services will be also analyzed and will update the network
incident.
* Incident client receives the network incident raised by incident
server, and acknowledge it. Client may invoke the "network
incident diagnose" rpc to diagnose this network incident to find
the root causes.
* If the root causes have been found, the incident client can
resolve this network incident by invoking the 'network incident
resolve' rpc operation, dispatching a ticket or using other
functions (routing calculation, configuration, etc.)
4.1. Interworking with Alarm Management
+-----------------------------+
| OSS |
|+-------+ +-----------+ |
||Alarm | | Incident | |
||handler| | handler | |
|+-------+ +-----------+ |
+---^---------------^---------+
| |
|alarm |incident
+---|---------------|---------+
| | controller | |
| | | |
|+--+----+ +-----------+ |
||Alarm | | Incident | |
||process+----->| Process | |
|| |alarm | | |
|+-------+ +-----------+ |
| ^ ^ |
+---|--------------|----------+
|alarm | metrics/trace/etc.
| |
+---+--------------+----------+
| Network |
| |
+-----------------------------+
Figure 2: Interworking with Alarm Management
A YANG model for the alarm management [RFC8632] defines a standard
interface to manage the lifecycle of alarms. Alarms represent the
undesirable state of network resources, alarm data model also defines
the root causes and impacted services fields, but there may lack
sufficient information to determine them in lower layer system
(mainly in devices level), so alarms do not always tell the status of
services or the root causes. As described in [RFC8632], alarm
management act as a starting point for high-level fault management.
While network incident management often works at the network level,
so it is possible to have enough information to perform correlation
and service impact analysis. Alarms can work as one of data sources
of network incident management and may be aggregated into few amount
of network incidents by correlation analysis, network service impact
and root causes may be determined during incident process.
Network Incident also contains some related alarms,if needed users
can query the information of alarms by alarm management interface
[RFC8632]. In some cases, e.g., cutover scenario, incident server
may use alarm management interface [RFC8632] to shelve some alarms.
Alarm management may keep the original process, alarms are reported
from network to network controller or analytics and then reported to
upper layer system (e.g., the alarm handler within the OSS).
Similarly, the network incident are reported from the network to the
network controller or analytics and then reported to the upper layer
system (e.g., incident handler within the OSS). Upper layer system
may store these network incidents and provide the information for
fault analysis (e.g., deeper analysis based on network incident).
Different from alarm management, incident process within the
controller comprising both incident client and incident sever
functionalities provides not only network incident reporting but also
diagnosis and resolution functions, it's possible to support self-
healing and may be helpful for single-domain closed-loop control.
Incident management is not a substitute for alarm management.
Instead, they can work together to implement fault management.
4.2. Interworking with SAIN
SAIN [RFC9417] defines an architecture of network service assurance.
+----------------+
|Incident handler|
+----------------+
^
|incident
+-------+--------+
|Incident process|
+----------------+
^
|symptoms
+-------+--------+
| SAIN |
| |
+----------------+
^
|metrics
+-------------+-------------+
| |
| Network |
| |
+---------------------------+
Figure 3: Interworking with SAIN
A network service can be decomposed into some sub-services, and some
metrics can be monitored for sub-services. For example, a tunnel
service can be decomposed into some peer tunnel interface sub-
services and IP connectivity sub-service. If some metrics are
evaluated to indicate unhealthy for specific sub-service, some
symptoms will be present. Incident process comprising both incident
client and incident server functionalities may identify the network
incident based on symptoms, and then report it to incident handler
within the Operation Support System (OSS). So, SAIN can be one way
to identify network incident, services, sub-services and metrics can
be preconfigured via APIs defined by service assurance YANG model
[RFC9418] and the networkincident will be reported if symptoms match
the condition of the network incident.
4.3. Relationship with RFC8969
[RFC8969] defines a framework for network automation using YANG, this
framework breaks down YANG modules into three layers, service layer,
network layer and device layer, and contains service deployment,
service optimization/assurance, and service diagnosis. Network
incident works at the network layer and aggregates alarms, metrics
and other information from device layer, it's helpful to provide
service assurance. And the network incident diagnosis may be one way
of service diagnosis.
4.4. Relationship with Trace Context
W3C defines a common trace context [W3C-Trace-Context] for
distributed system tracing,
[I-D.rogaglia-netconf-trace-ctx-extension] defines a netconf
extension for [W3C-Trace-Context] and
[I-D.quilbeuf-opsawg-configuration-tracing] defines a mechanism for
configuration tracing. If some errors occur when services are
deploying, it's very easy to identify these errors by distributed
system tracing, and a network incident should be reported.
5. Functional Interface Requirements between the Client and the Server
5.1. Incident Identification
As depicted in Figure 4, multiple alarms, metrics, or hybrid can be
aggregated into a network incident after analysis.
+--------------+
+--| Incident1 |
| +--+-----------+
| | +-----------+
| +--+ alarm1 |
| | +-----------+
| |
| | +-----------+
| +--+ alarm2 |
| | +-----------+
| |
| | +-----------+
| +--+ alarm3 |
| +-----------+
| +--------------+
+--| Incident2 |
| +--+-----------+
| | +-----------+
| +--+ metric1 |
| | +-----------+
| | +-----------+
| +--+ metric2 |
| +-----------+
|
| +--------------+
+--| Incident3 |
+--+-----------+
| +-----------+
+--+ alarm1 |
| +-----------+
|
| +-----------+
+--| metric1 |
+-----------+
Figure 4: Incident Identification
The network incident management server MUST be capable of identifying
network incidents. Multiple alarms, metrics and other information
are reported to incident server, and the server must analyze it and
find out the correlations of them, if the correlation match the
network incident rules, network incident will be identified and
reported to the client. Service impact analysis will be performed if
an indent is identified, and the content of network incident will be
updated if impacted network services are detected.
AI/ML may be used to identify the network incident. Expert system
and online learning can help AI to identify the correlation of
alarms, metrics and other information by time-base correlation
algorithm, topo-based correlation algorithm, etc. For example, if
interface is down, then many protocol alarms will be reported, AI
will think these alarms have some correlations. These correlations
will be put into knowledge base, and the network incident will be
identified faster according to knowledge base next time.
As mentioned above, SAIN is another way to implement network incident
identification. Trace context defined in [W3C-Trace-Context] may be
helpful for network incident identification.
+----------------------+
| |
| Orchestrator |
| |
+----+-----------------+
^VPN A Unavailable
|
+---+----------------+
| |
| Controller |
| |
| |
+-+-+------------+---+
^ ^ ^
IGP | |Interface |IGP Peer
Down | |Down | Abnormal
| | |
VPN A | | |
+-----------+-+------------+------------------------+
| \ +---+ ++-++ +-+-+ +---+ /|
| \ | | | | | | | | / |
| \|PE1+-------| P1+X--------|P2 +--------|PE2|/ |
| +---+ +---+ +---+ +---+ |
+---------------------------------------------------+
Figure 5: Example 1 of Network Incident Identification
As described in Figure 5, vpn a is deployed from PE1 to PE2, if a
interface of P1 is going down, many alarms are triggered, such as
interface down, igp down, and igp peer abnormal from P2.
These alarms are aggregated and analyzed by the controller/incident
management server, and then the network incident 'vpn unavailable' is
triggered by the controller/incident management server.
Note that incident management server can rely on data correlation
technology such as service impact analysis and data analytic
component to evaluate the real effect on the relevant service and
understand whether lower level or device level network anomaly, e.g.,
igp down, has impact on the service.
+----------------------+
| |
| Orchestrator |
| |
+----+-----------------+
^VPN A Degradation
|
+-------+------------+
| |
| controller |
| |
| |
+--+------------+----+
^ ^
|Packet |Path Delay
|Loss |
| |
VPN A | |
+-------------------+------------+-------------------+
| \ +---+ ++-++ +-+-+ +---+ / |
| \ | | | | | | | | / |
| \|PE1+-------|P1 +---------|P2 +--------|PE2|/ |
| +---+ +---+ +---+ +---+ |
+----------------------------------------------------+
Figure 6: Example 2 of Network Incident Identification
As described in Figure 6, controller collect the network metrics from
network elements, it finds the packet loss of P1 and the path delay
of P2 exceed the thresholds, a network incident 'VPN A degradation'
may be triggered after service impact analysis.
5.2. Incident Diagnosis
After a network incident is reported to the network incident
management client, the incident management client MAY diagnose the
incident to determine the root cause. Some diagnosis operations may
affect the running network services. The client can choose not to
perform that diagnosis operation after determining the impact is not
trivial. The network incident management server can also perform
self-diagnosis. However, the self-diagnosis MUST not affect the
running network services. Possible diagnosis methods include link
reachability detection, link quality detection, alarm/log analysis,
and short-term fine-grained monitoring of network quality metrics,
etc.
5.3. Incident Resolution
After the root cause is diagnosed, the client MAY resolve the network
incident. The client MAY choose resolve the network incident by
invoking other functions, such as routing calculation function,
configuration function, dispatching a ticket or asking the server to
resolve it. Generally, the client would attempt to directly resolve
the root cause. If the root cause cannot be resolved, an alternative
solution SHOULD be required. For example, if a network incident
caused by a physical component failure, it cannot be automatically
resolved, the standby link can be used to bypass the faulty
component.
Incident server will monitor the status of the network incident, if
the faults are fixed, the server will update the status of network
incident to 'cleared', and report the updated network incident to the
client.
Network incident resolution may affect the running network services.
The client can choose not to perform those operations after
determining the impact is not trivial.
6. Incident Data Model Concepts
6.1. Identifying the Incident Instance
An incident ID is used as an identifier of an incident instance, if
an incident instance is identified, a new incident ID is created.
The incident ID MUST be unique in the whole system.
6.2. The Incident Lifecycle
The incident model clearly separately network incident instance
lifecycle from operator incident lifecycle. o Network incident
instance lifecycle: The network incident instrumentation that control
network incident raised, updated and cleared. o Operator incident
lifecycle: Operators acting upon the network incident with rpcs like
acknowledged, diagnosed and resolved.
6.2.1. Incident Instance Lifecycle
From a network incident instance perspective, a network incident can
have the following lifecycle: 'raised', 'updated', 'cleared'. When a
network incident instance is firstly generated, the status is
'raised'. If the status changes after the network incident instance
is generated, (for example, self-diagnosis, diagnosis command issued
by the client, or any other condition causes the status to change but
does not reach the 'cleared' level.) , the status changes to
'updated'. When a network incident is successfully resolved, the
status changes to 'cleared'.
6.2.2. Operator Incident Lifecycle
Operators can act upon network incident with network incident rpcs.
From an operator perspective, the lifecycle of a network incident
instance includes 'acknowledged', 'diagnosed', and 'resolved'.
When a network incident instance is generated, the operator SHOULD
acknowledge the network incident with 'incident-acknowledge' rpc.
And then the operator attempts to diagnose the network incident with
'incident-diagnose' rpc (for example, find out the root cause and
affected components). Diagnosis is not mandatory. If the root cause
and affected components are known when the network incident is
generated, diagnosis is not required. After locating the root cause
and affected components, operator can try to resolve the network
incident by invoking 'incident-resolve' rpc.
7. Incident Data Model Design
7.1. Overview
There is one YANG module in the model, "ietf-incident", which defines
technology independent abstraction of network incident construct for
alarm, log, performance metrics, etc. The information reported in
the network incident include Root cause, priority,impact, suggestion,
etc.
At the top of "ietf-incident" module is the Network Incident.
Network incident is represented as a list and indexed by "incident-
id". Each Network Incident is associated with a service instance,
domain and sources. Under sources, there is one or more sources.
Each source corresponds to node defined in the network topology model
and network resource in the network device,e.g., interface. In
addition, "ietf-incident" support one general notification to report
network incident state changes and three rpcs to manage the network
incidents.
module: ietf-incident
+--ro incidents
+--ro incident* [name type incident-id]
+--ro incident-no uint64
+--ro name string
+--ro type identityref
+--ro incident-id? string
+--ro service-instance* string
+--ro domain identityref
+--ro priority incident-priority
+--ro status? enumeration
+--ro ack-status? enumeration
+--ro category identityref
+--ro detail? string
+--ro resolve-advice? String
+--ro sources
...
+--ro root-causes
...
+--ro root-events
...
+--ro events
...
+--ro raise-time? yang:date-and-time
+--ro occur-time? yang:date-and-time
+--ro clear-time? yang:date-and-time
+--ro ack-time? yang:date-and-time
+--ro last-updated? yang:date-and-time
rpcs:
+---x incident-acknowledge
...
+---x incident-diagnose
...
+---x incident-resolve
notifications:
+---n incident-notification
+--ro incident-no?
-> /inc:incidents/inc:incident/inc:incident-no
...
+--ro time? yang:date-and-time
7.2. Incident Notifications
notifications:
+---n incident-notification
+--ro incident-no?
-> /inc:incidents/inc:incident/inc:incident-no
+--ro name? string
+--ro type? identityref
+--ro incident-id? string
+--ro service-instance* string
+--ro domain? identityref
+--ro priority? int:incident-priority
+--ro status? enumeration
+--ro ack-status? enumeration
+--ro category? identityref
+--ro detail? string
+--ro resolve-advice? string
+--ro sources
| +--ro source* [node-ref]
| +--ro node-ref leafref
| +--ro network-ref? -> /nw:networks/network/network-id
| +--ro resource* [name]
| +--ro name al:resource
+--ro root-causes
| +--ro root-cause* [node-ref]
| +--ro node-ref leafref
| +--ro network-ref? -> /nw:networks/network/network-id
| +--ro resource* [name]
| | +--ro name al:resource
| | +--ro cause-name? string
| | +--ro detail? string
| +--ro cause-name? string
| +--ro detail? string
+--ro root-events
| +--ro root-event* [type event-id]
| +--ro type -> ../../../events/event/type
| +--ro event-id leafref
+--ro events
| +--ro event* [type event-id]
| +--ro type enumeration
| +--ro event-id string
| +--ro (event-type-info)?
| +--:(alarm)
| | +--ro alarm
| | +--ro resource? leafref
| | +--ro alarm-type-id? leafref
| | +--ro alarm-type-qualifier? leafref
| +--:(notification)
| +--:(log)
| +--:(KPI)
| +--:(unknown)
+--ro time? yang:date-and-time
A general notification, incident-notification, is provided here.
When a network incident instance is identified, the notification will
be sent. After a notification is generated, if the network incident
management server performs self diagnosis or the client uses the
interfaces provided by the network incident management server to
deliver diagnosis and resolution actions, the notification update
behavior is triggered, for example, the root cause objects and
affected objects are updated. When a network incident is
successfully resolved, the status of the network incident would be
set to 'cleared'.
7.3. Incident Acknowledge
+---x incident-acknowledge
| +---w input
| | +---w incident-no*
| | -> /inc:incidents/inc:incident/inc:incident-no
After an incident is generated, updated, or cleared, (In some
scenarios where automatic diagnosis and resolution are supported, the
status of an incident may be updated multiple times or even
automatically resolved.) The operator needs to confirm the incident
to ensure that the client knows the incident.
The incident-acknowledge rpc can confirm multiple incidents at a time
7.4. Incident Diagnose
+---x incident-diagnose
| +---w input
| | +---w incident-no*
| | -> /inc:incidents/inc:incident/inc:incident-no
After a network incident is generated, network incident diagnose rpc
can be used to diagnose the network incident and locate the root
causes. On demand Diagnosis can be performed on some detection
tasks, such as BFD detection, flow detection, telemetry collection,
short-term threshold alarm, configuration error check, or test packet
injection.
After the on demand diagnosis is performed sucessfully, a separate
network incident update notification will be triggered to report the
latest status of the network incident asynchronously.
7.5. Incident Resolution
+---x incident-resolve
+---w input
| +---w incident-no*
| -> /inc:incidents/inc:incident/inc:incident-no
After the root causes and impacts are determined, incident-resolve
rpc can be used to resolve the incident (if the server can resolve
it). How to resolve an incident instance is out of the scope of this
document.
Network incident resolve rpc allows multiple network incident
instances to be resolved at a time. If a network incident instance
is successfully resolved, a separate notification will be triggered
to update the network incident status to 'cleared'. If the network
incident content is changed during this process, a notification
update will be triggered.
7.6. RPC Failure
If the RPC fails, the RPC error response MUST indicate the reason for
the failure. The structures defined in this document MUST encode
specific errors and be inserted in the error response to indicate the
reason for the failure.
The tree diagram [RFC8340] for structures are defined as follows:
structure incident-acknowledge-error-info:
+-- incident-acknowledge-error-info
+-- incident-no? incident-ref
+-- reason? identityref
+-- description? string
structure incident-diagnose-error-info:
+-- incident-diagnose-error-info
+-- incident-no? incident-ref
+-- reason? identityref
+-- description? string
structure incident-resolve-error-info:
+-- incident-resolve-error-info
+-- incident-no? incident-ref
+-- reason? identityref
+-- description? string
Valid errors that can occur for each structure defined in this
doucment are described as follows:
incident-acknowledge-error-info
-----------------------------------
repeated-acknowledge
incident-diagnose-error-info
-----------------------------------
root-cause-unlocated
permission-denied
operation-timeout
resource-unavailable
incident-resolve-error-info
-----------------------------------
root-cause-unresolved
permission-denied
operation-timeout
resource-unavailable
8. Network Incident Management YANG Module
This module imports types defined in [RFC6991], [RFC8345], [RFC8632].
<CODE BEGINS> file "ietf-incident@2024-06-06.yang"
module ietf-incident {
yang-version 1.1;
namespace "urn:ietf:params:xml:ns:yang:ietf-incident";
prefix inc;
import ietf-yang-types {
prefix yang;
reference
"RFC 6991: Common YANG Data Types";
}
import ietf-alarms {
prefix al;
reference
"RFC 8632: A YANG Data Model for Alarm Management";
}
import ietf-network {
prefix nw;
reference
"RFC 8345: A YANG Data Model for Network Topologies";
}
import ietf-yang-structure-ext {
prefix sx;
}
organization
"IETF NMOP Working Group";
contact
"WG Web: <https://datatracker.ietf.org/wg/nmop/>;
WG List: <mailto:nmop@ietf.org>
Author: Chong Feng
<mailto:frank.fengchong@huawei.com>
Author: Tong Hu
<mailto:hutong@cmhi.chinamobile.com>
Author: Luis Miguel Contreras Murillo
<mailto:luismiguel.contrerasmurillo@telefonica.com>
Author : Qin Wu
<mailto:bill.wu@huawei.com>
Author: Chaode Yu
<mailto:yuchaode@huawei.com>
Author: Nigel Davis
<mailto:ndavis@ciena.com>";
description
"This module defines the interfaces for incident management
lifecycle.
This module is intended for the following use cases:
* incident lifecycle management:
- incident report: report incident instance to client
when an incident instance is detected.
- incident acknowledge: acknowledge an incident instance.
- incident diagnose: diagnose an incident instance.
- incident resolve: resolve an incident instance.
Copyright (c) 2024 IETF Trust and the persons identified as
authors of the code. All rights reserved.
Redistribution and use in source and binary forms, with or
without modification, is permitted pursuant to, and subject
to the license terms contained in, the Revised BSD License
set forth in Section 4.c of the IETF Trust's Legal Provisions
Relating to IETF Documents
(https://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC XXXX
(https://www.rfc-editor.org/info/rfcXXXX); ; see the RFC
itself for full legal notices.
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 (RFC 2119) (RFC 8174) when, and only when,
they appear in all capitals, as shown here. ";
revision 2024-06-06 {
description
"Merge incident yang with incident type yang
and fix broken ref.";
reference
"RFC XXX: YANG module for network incident management.";
}
//identities
identity incident-domain {
description
"The abstract identity to indicate the domain of
an incident.";
}
identity single-domain {
base incident-domain;
description
"single domain.";
}
identity access {
base single-domain;
description
"access domain.";
}
identity ran {
base access;
description
"radio access network domain.";
}
identity transport {
base single-domain;
description
"transport domain.";
}
identity otn {
base transport;
description
"optical transport network domain.";
}
identity ip {
base single-domain;
description
"ip domain.";
}
identity ptn {
base ip;
description
"packet transport network domain.";
}
identity cross-domain {
base incident-domain;
description
"cross domain.";
}
identity incident-category {
description
"The abstract identity for incident category.";
}
identity device {
base incident-category;
description
"device category.";
}
identity power-environment {
base device;
description
"power environment category.";
}
identity device-hardware {
base device;
description
"hardware of device category.";
}
identity device-software {
base device;
description
"software of device category";
}
identity line {
base device-hardware;
description
"line card category.";
}
identity maintenance {
base incident-category;
description
"maintenance category.";
}
identity network {
base incident-category;
description
"network category.";
}
identity protocol {
base incident-category;
description
"protocol category.";
}
identity overlay {
base incident-category;
description
"overlay category";
}
identity vm {
base incident-category;
description
"vm category.";
}
identity event-type {
description
"The abstract identity for Event type";
}
identity alarm {
base event-type;
description
"alarm event type.";
}
identity notif {
base event-type;
description
"Notification event type.";
}
identity log {
base event-type;
description
"Log event type.";
}
identity KPI {
base event-type;
description
"KPI event type.";
}
identity unknown {
base event-type;
description
"Unknown event type.";
}
identity incident-class {
description
"The abstract identity for Incident category.";
}
identity problem {
base incident-class;
description
"It indicates the class of the incident is a problem
(i.e.,cause of the incident) for example an interface
fails to work.";
}
identity sla-violation {
base incident-class;
description
"It indicates the class of the incident is a sla
violation, for example high CPU rate may cause
a fault in the future.";
}
identity acknowledge-error {
description
"Base identity for the problem found while attempting
to fulfill an 'incident-acknowledge' RPC request.";
}
identity diagnose-error {
description
"Base identity for the problem found while attempting
to fulfill an 'incident-diagnose' RPC request.";
}
identity resolve-error {
description
"Base identity for the problem found while attempting
to fulfill an 'incident-resolve' RPC request.";
}
identity repeated-acknowledge {
base acknowledge-error;
description
"The incident referred to has already been acknowledged.";
}
identity root-cause-unlocated {
base diagnose-error;
description
"Fails to locate the root causes when performing the
diagnosis operation. The detailed reason MUST be included
in the 'description'.";
}
identity root-cause-unresolved {
base resolve-error;
description
"Fails to resolve the root causes when performing the
resolution operation. The detailed reason MUST be included
in the 'description'";
}
identity permission-denied {
base diagnose-error;
base resolve-error;
description
" The permission required for performing specific
detection/resolution task is not granted.";
}
identity operation-timeout {
base diagnose-error;
base resolve-error;
description
" The diagnosis/resolution time exceeds the preset time.";
}
identity resource-unavailable {
base diagnose-error;
base resolve-error;
description
" The resource is unavailable to perform
the diagnosis/resolution operation.";
}
identity cause-name {
description
"Base identity for the cause name.";
}
//typedefs
typedef incident-priority {
type enumeration {
enum critical {
description
"the incident MUST be handled immediately.";
}
enum high {
description
"the incident should be handled as soon as
possible.";
}
enum medium {
description
"network services are not affected, or the
services are slightly affected,but corrective
measures need to be taken.";
}
enum low {
description
"potential or imminent service-affecting
incidents are detected,but services are
not affected currently.";
}
}
description
"define the priority of incident.";
}
typedef incident-ref {
type leafref {
path "/inc:incidents/inc:incident/inc:incident-no";
}
description
"reference a network incident.";
}
//groupings
grouping root-cause-info {
description
"The information of root cause.";
leaf cause-name {
type identityref{
base cause-name;
}
description
"the name of cause.";
}
leaf detail {
type string;
description
"the detail information of the cause.";
}
}
grouping resources-info {
description
"the grouping which defines the network
resources of a node.";
uses nw:node-ref;
list resource {
key "name";
description
"the resources of a network node.";
leaf name {
type al:resource;
description
"network resource name.";
}
}
}
grouping incident-time-info {
description
"the grouping defines incident time information.";
leaf raise-time {
type yang:date-and-time;
description
"the time when an incident instance is raised.";
}
leaf occur-time {
type yang:date-and-time;
description
"the time when an incident instance occurs.
It's the occur time of the first event during
incident detection.";
}
leaf clear-time {
type yang:date-and-time;
description
"the time when an incident instance is
resolved.";
}
leaf ack-time {
type yang:date-and-time;
description
"the time when an incident instance is
acknowledged.";
}
leaf last-updated {
type yang:date-and-time;
description
"the latest time when an incident instance is
updated";
}
}
grouping incident-info {
description
"the grouping defines the information of an
incident.";
leaf name {
type string;
mandatory true;
description
"the name of an incident.";
}
leaf type {
type identityref {
base incident-class;
}
mandatory true;
description
"The type of an incident.";
}
leaf incident-id {
type string;
description
"The unique qualifier of an incident instance type.
This leaf is used when the 'type' leaf cannot
uniquely identify the incident instance type. Normally,
this is not the case, and this leaf is the empty string.";
}
leaf-list service-instance {
type string;
description
"the related network service instances of
the incident instance.";
}
leaf domain {
type identityref {
base incident-domain;
}
mandatory true;
description
"the domain of an incident.";
}
leaf priority {
type incident-priority;
mandatory true;
description
"the priority of an incident instance.";
}
leaf status {
type enumeration {
enum raised {
description
"an incident instance is raised.";
}
enum updated {
description
"the information of an incident instance
is updated.";
}
enum cleared {
description
"an incident is cleared.";
}
}
default "raised";
description
"The status of an incident instance.";
}
leaf ack-status {
type enumeration {
enum acknowledged {
description
"The incident has been acknowledged by user.";
}
enum unacknowledged {
description
"The incident hasn't been acknowledged.";
}
}
default "unacknowledged";
description
"the acknowledge status of an incident.";
}
leaf category {
type identityref {
base incident-category;
}
mandatory true;
description
"The category of an incident.";
}
leaf detail {
type string;
description
"detail information of this incident.";
}
leaf resolve-advice {
type string;
description
"The advice to resolve this incident.";
}
container sources {
description
"The source components.";
list source {
key "node-ref";
min-elements 1;
description
"The source components of incident.";
uses resources-info;
}
}
container root-causes {
description
"The root cause objects.";
list root-cause {
key "node-ref";
description
"the root causes of incident.";
uses resources-info {
augment "resource" {
description
"augment root cause information.";
//if root cause object is a resource of a node
uses root-cause-info;
}
}
//if root cause object is a node
uses root-cause-info;
}
}
container root-events {
description
"the root cause related events of the incident.";
list root-event {
key "type event-id";
description
"the root cause related event of the incident.";
leaf type {
type leafref {
path "../../../events/event/type";
}
description
"the event type.";
}
leaf event-id {
type leafref {
path "../../../events/event[type = current()/../type]"
+ "/event-id";
}
description
"the event identifier, such as uuid,
sequence number, etc.";
}
}
}
container events {
description
"related events.";
list event {
key "type event-id";
description
"related events.";
leaf type {
type identityref {
base event-type;
}
description
"event type.";
}
leaf event-id {
type string;
description
"the event identifier, such as uuid,
sequence number, etc.";
}
choice event-type-info {
description
"event type information.";
case alarm {
when "derived-from-or-self(type, 'alarm')" {
description
"Only applies when type is alarm.";
}
container alarm {
description
"alarm type event.";
leaf resource {
type leafref {
path "/al:alarms/al:alarm-list/al:alarm"
+ "/al:resource";
}
description
"network resource.";
reference
"RFC 8632: A YANG Data Model for Alarm
Management";
}
leaf alarm-type-id {
type leafref {
path "/al:alarms/al:alarm-list/al:alarm"
+ "[al:resource = current()/../resource]"
+ "/al:alarm-type-id";
}
description
"alarm type id";
reference
"RFC 8632: A YANG Data Model for Alarm
Management";
}
leaf alarm-type-qualifier {
type leafref {
path "/al:alarms/al:alarm-list/al:alarm"
+ "[al:resource = current()/../resource]"
+ "[al:alarm-type-id = current()/.."
+ "/alarm-type-id]/al:alarm-type-qualifier";
}
description
"alarm type qualitifier";
reference
"RFC 8632: A YANG Data Model for Alarm
Management";
}
}
}
case notification {
//TODO
}
case log {
//TODO
}
case KPI {
//TODO
}
case unknown {
//TODO
}
}
}
}
}
// rpcs
rpc incident-acknowledge {
description
"This rpc can be used to acknowledge the specified
incidents.";
input {
leaf-list incident-no {
type incident-ref;
description
"the identifier of an incident instance.";
}
}
}
rpc incident-diagnose {
description
"This rpc can be used to diagnose the specified
incidents. The result of diagnosis will be reported
by incident notification.";
input {
leaf-list incident-no {
type incident-ref;
description
"the identifier of an incident instance.";
}
}
}
rpc incident-resolve {
description
"This rpc can be used to resolve the specified
incidents. The result of resolution will be reported
by incident notification.";
input {
leaf-list incident-no {
type incident-ref;
description
"the identifier of an incident instance.";
}
}
}
sx:structure incident-acknowledge-error-info {
container incident-acknowledge-error-info {
description
"This structure data MAY be inserted in the RPC error
response to indicate the reason for the
incident acknowledge failure.";
leaf incident-no {
type incident-ref;
description
"Indicates the incident identifier that
fails the operation.";
}
leaf reason {
type identityref {
base acknowledge-error;
}
description
"Indicates the reason why the operation is failed.";
}
leaf description {
type string;
description
"Indicates the detailed description about the failure.";
}
}
}
sx:structure incident-diagnose-error-info {
container incident-diagnose-error-info {
description
"This structure data MAY be inserted in the RPC error
response to indicate the reason for the
incident diagnose failure.";
leaf incident-no {
type incident-ref;
description
"Indicates the incident identifier that
fails the operation.";
}
leaf reason {
type identityref {
base diagnose-error;
}
description
"Indicates the reason why the operation is failed.";
}
leaf description {
type string;
description
"Indicates the detailed description about the failure.";
}
}
}
sx:structure incident-resolve-error-info {
container incident-resolve-error-info {
description
"This structure data MAY be inserted in the RPC error
response to indicate the reason for the
incident resolution failure.";
leaf incident-no {
type incident-ref;
description
"Indicates the incident identifier that
fails the operation.";
}
leaf reason {
type identityref {
base resolve-error;
}
description
"Indicates the reason why the operation is failed.";
}
leaf description {
type string;
description
"Indicates the detailed description about the failure.";
}
}
}
// notifications
notification incident-notification {
description
"incident notification. It will be triggered when
the incident is raised, updated or cleared.";
leaf incident-no {
type incident-ref;
description
"the identifier of an incident instance.";
}
uses incident-info;
leaf time {
type yang:date-and-time;
description
"occur time of an incident instance.";
}
}
//data definitions
container incidents {
config false;
description
"the information of incidents.";
list incident {
key "name type incident-id";
description
"the information of incident.";
leaf incident-no {
type uint64;
mandatory true;
description
"The unique sequence number of the incident instance.";
}
uses incident-info;
uses incident-time-info;
}
}
}
<CODE ENDS>
9. Security Considerations
The YANG modules specified in this document define a schema for data
that is designed to be accessed via network management protocol such
as NETCONF [RFC6241] or RESTCONF [RFC8040]. The lowest NETCONF layer
is the secure transport layer, and the mandatory-to-implement secure
transport is Secure Shell (SSH) [RFC6242]. The lowest RESTCONF layer
is HTTPS, and the mandatory-to-implement secure transport is TLS
[RFC8446].
The Network Configuration Access Control Model (NACM) [RFC8341]
provides the means to restrict access for particular NETCONF or
RESTCONF users to a preconfigured subset of all available NETCONF or
RESTCONF protocol operations and content.
Some of the readable data nodes in this YANG module may be considered
sensitive or vulnerable in some network environments. It is thus
important to control read access (e.g., via get, get-config, or
notification) to these data nodes. These are the subtrees and data
nodes and their sensitivity/vulnerability:
'/incidents/incident': This list specifies the network incident
entries. Unauthorized read access of this list can allow intruders
to access network incident information and potentially get a picture
of the broken state of the network. Intruders may exploit the
vulnerabilities of the network to cause further negative impact on
the network. Care must be taken to ensure that this list are
accessed only by authorized users.
Some of the RPC operations in this YANG module may be considered
sensitive or vulnerable in some network environments. It is thus
important to control access to these operations. These are the
operations and their sensitivity/vulnerability:
"incident-diagnose": This RPC operation performs network incident
diagnosis and root cause locating. If a malicious or buggy client
performs an unexpectedly large number of this operation, the result
might be an excessive use of system resources on the server side as
well as network resources. Servers MUST ensure they have sufficient
resources to fulfill this request; otherwise, they MUST reject the
request.
"incident-resolve": This RPC operation is used to resolve the network
incident. If a malicious or buggy client performs an unexpectedly
large number of this operation, the result might be an excessive use
of system resources on the server side as well as network resources.
Servers MUST ensure they have sufficient resources to fulfill this
request; otherwise, they MUST reject the request.
10. IANA Considerations
10.1. The "IETF XML" Registry
This document requests IANA to register one XML namespace URN in the
"ns" subregistry within the "IETF XML Registry" [RFC3688]:
URI: urn:ietf:params:xml:ns:yang:ietf-incident
Registrant Contact: The IESG.
XML: N/A, the requested URIs are XML namespaces.
10.2. The "YANG Module Names" Registry
This document requests IANA to register one module name in the 'YANG
Module Names' registry, defined in [RFC6020].
Name: ietf-incident
Maintained by IANA? N
Namespace: urn:ietf:params:xml:ns:yang:ietf-incident
Prefix: inc
Reference: RFC XXXX
// RFC Ed.: replace XXXX and remove this comment
Acknowledgments
The authors would like to thank Mohamed Boucadair, Robert Wilton,
Benoit Claise, Oscar Gonzalez de Dios, Adrian Farrel, Mahesh
Jethanandani, Balazs Lengyel, Dhruv Dhody,Bo Wu, Qiufang Ma, Haomian
Zheng, YuanYao，Wei Wang, Peng Liu, Zongpeng Du, Zhengqiang Li, Andrew
Liu , Joe Clark, Roland Scott, Alex Huang Feng, Kai Gao, Jensen
Zhang, Ziyang Xing for their valuable comments and great input to
this work.
References
Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/rfc/rfc2119>.
[RFC3688] Mealling, M., "The IETF XML Registry", BCP 81, RFC 3688,
DOI 10.17487/RFC3688, January 2004,
<https://www.rfc-editor.org/rfc/rfc3688>.
[RFC6020] Bjorklund, M., Ed., "YANG - A Data Modeling Language for
the Network Configuration Protocol (NETCONF)", RFC 6020,
DOI 10.17487/RFC6020, October 2010,
<https://www.rfc-editor.org/rfc/rfc6020>.
[RFC6241] Enns, R., Ed., Bjorklund, M., Ed., Schoenwaelder, J., Ed.,
and A. Bierman, Ed., "Network Configuration Protocol
(NETCONF)", RFC 6241, DOI 10.17487/RFC6241, June 2011,
<https://www.rfc-editor.org/rfc/rfc6241>.
[RFC6242] Wasserman, M., "Using the NETCONF Protocol over Secure
Shell (SSH)", RFC 6242, DOI 10.17487/RFC6242, June 2011,
<https://www.rfc-editor.org/rfc/rfc6242>.
[RFC6991] Schoenwaelder, J., Ed., "Common YANG Data Types",
RFC 6991, DOI 10.17487/RFC6991, July 2013,
<https://www.rfc-editor.org/rfc/rfc6991>.
[RFC8040] Bierman, A., Bjorklund, M., and K. Watsen, "RESTCONF
Protocol", RFC 8040, DOI 10.17487/RFC8040, January 2017,
<https://www.rfc-editor.org/rfc/rfc8040>.
[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, <https://www.rfc-editor.org/rfc/rfc8174>.
[RFC8341] Bierman, A. and M. Bjorklund, "Network Configuration
Access Control Model", STD 91, RFC 8341,
DOI 10.17487/RFC8341, March 2018,
<https://www.rfc-editor.org/rfc/rfc8341>.
[RFC8345] Clemm, A., Medved, J., Varga, R., Bahadur, N.,
Ananthakrishnan, H., and X. Liu, "A YANG Data Model for
Network Topologies", RFC 8345, DOI 10.17487/RFC8345, March
2018, <https://www.rfc-editor.org/rfc/rfc8345>.
[RFC8446] Rescorla, E., "The Transport Layer Security (TLS) Protocol
Version 1.3", RFC 8446, DOI 10.17487/RFC8446, August 2018,
<https://www.rfc-editor.org/rfc/rfc8446>.
[RFC8632] Vallin, S. and M. Bjorklund, "A YANG Data Model for Alarm
Management", RFC 8632, DOI 10.17487/RFC8632, September
2019, <https://www.rfc-editor.org/rfc/rfc8632>.
Informative References
[BERT] "BERT (language model)", n.d.,
<https://en.wikipedia.org/wiki/BERT_(language_model)>.
[I-D.ietf-ippm-pam]
Mirsky, G., Halpern, J. M., Min, X., Clemm, A., Strassner,
J., and J. François, "Precision Availability Metrics for
Services Governed by Service Level Objectives (SLOs)",
Work in Progress, Internet-Draft, draft-ietf-ippm-pam-09,
1 December 2023, <https://datatracker.ietf.org/doc/html/
draft-ietf-ippm-pam-09>.
[I-D.ietf-nmop-terminology]
Davis, N., Farrel, A., Graf, T., Wu, Q., and C. Yu, "Some
Key Terms for Network Fault and Problem Management", Work
in Progress, Internet-Draft, draft-ietf-nmop-terminology-
05, 12 September 2024,
<https://datatracker.ietf.org/doc/html/draft-ietf-nmop-
terminology-05>.
[I-D.quilbeuf-opsawg-configuration-tracing]
Quilbeuf, J., Claise, B., Graf, T., Lopez, D., and S.
Qiong, "External Trace ID for Configuration Tracing", Work
in Progress, Internet-Draft, draft-quilbeuf-opsawg-
configuration-tracing-02, 10 July 2023,
<https://datatracker.ietf.org/doc/html/draft-quilbeuf-
opsawg-configuration-tracing-02>.
[I-D.rogaglia-netconf-trace-ctx-extension]
Gagliano, R., Larsson, K., and J. Lindblad, "NETCONF
Extension to support Trace Context propagation", Work in
Progress, Internet-Draft, draft-rogaglia-netconf-trace-
ctx-extension-03, 6 July 2023,
<https://datatracker.ietf.org/doc/html/draft-rogaglia-
netconf-trace-ctx-extension-03>.
[RFC7950] Bjorklund, M., Ed., "The YANG 1.1 Data Modeling Language",
RFC 7950, DOI 10.17487/RFC7950, August 2016,
<https://www.rfc-editor.org/rfc/rfc7950>.
[RFC8969] Wu, Q., Ed., Boucadair, M., Ed., Lopez, D., Xie, C., and
L. Geng, "A Framework for Automating Service and Network
Management with YANG", RFC 8969, DOI 10.17487/RFC8969,
January 2021, <https://www.rfc-editor.org/rfc/rfc8969>.
[RFC9375] Wu, B., Ed., Wu, Q., Ed., Boucadair, M., Ed., Gonzalez de
Dios, O., and B. Wen, "A YANG Data Model for Network and
VPN Service Performance Monitoring", RFC 9375,
DOI 10.17487/RFC9375, April 2023,
<https://www.rfc-editor.org/rfc/rfc9375>.
[RFC9408] Boucadair, M., Ed., Gonzalez de Dios, O., Barguil, S., Wu,
Q., and V. Lopez, "A YANG Network Data Model for Service
Attachment Points (SAPs)", RFC 9408, DOI 10.17487/RFC9408,
June 2023, <https://www.rfc-editor.org/rfc/rfc9408>.
[RFC9417] Claise, B., Quilbeuf, J., Lopez, D., Voyer, D., and T.
Arumugam, "Service Assurance for Intent-Based Networking
Architecture", RFC 9417, DOI 10.17487/RFC9417, July 2023,
<https://www.rfc-editor.org/rfc/rfc9417>.
[RFC9418] Claise, B., Quilbeuf, J., Lucente, P., Fasano, P., and T.
Arumugam, "A YANG Data Model for Service Assurance",
RFC 9418, DOI 10.17487/RFC9418, July 2023,
<https://www.rfc-editor.org/rfc/rfc9418>.
[TMF724A] "Incident Management API Profile v1.0.0", 2023,
<https://www.tmforum.org/resources/standard/tmf724a-
incident-management-api-profile-v1-0-0/>.
[W3C-Trace-Context]
"W3C Recommendation on Trace Context", 2021,
<https://www.w3.org/TR/2021/REC-trace-context-
1-20211123/>.
Appendix A. Appendix Examples
A.1 Network Incident management with specific network topology and
the network service
{
"incident-no": 56433218,
"incident-id": "line fault",
"service-instance": ["optical-svc-A"],
"domain": "FAN",
"priority": "critical",
"occur-time": "2026-03-10T04:01:12Z",
"clear-time": "2026-03-10T06:01:12Z",
"ack-time": "2026-03-10T05:01:12Z",
"last-updated": "2026-03-10T05:31:12Z",
"status": "unacknowledged-and-uncleared",
"category": "Line",
"source": [
{
"node-ref": "example:D1",
"network-ref": "example:L2-topo",
"resource": [
{
"name": "7985e01a-5aad-11ea-b214-286ed488cf99"
}
]
}
],
"root-causes": [
{
"name": "Feeder fiber great loss change",
"detail-information": "The connector of the optical fiber
is contaminated, Or the optical fiber is bent too much.",
"root-cause": {
"network-ref": "example:L2-topo",
"node-ref": "example:D1",
"resource": [
{
"name": "7985e01a-5aad-11ea-b214-286ed488cf99",
"cause-name": "ltp",
"detail": "Frame=0, Slot=6, Subslot=65535, Port=7,
ODF= ODF001, Level1Splitter= splitter0025"
}
]
}
}
],
"root-event": [
{
"event-id": "8921834",
"type": "alarm"
}
],
"events": [
{
"even-id": "8921832",
"type": "alarm"
},
{
"even-id": "8921833",
"type": "alarm"
},
{
"even-id": "8921834",
"type": "alarm"
}
]
}
Appendix B. Changes between Revisions
v01 - v-2
* Clarify the relation between fault, incident and problem
* Clarify the relation between fault management and incident
management
* Add clarification text to make draft focus on network level
incident management, not be tied with OSS or under the control of
OSS
* Other Editorial changes.
v00 - v01
* Clarify the relationship between incident-no and incident-id.
* Fix Tree Diagram to align with YANG module code change.
* Add json example in the appendix.
* Add failure handling process for rpc error.
* Clarify the relationship between root events and root cause.
* Clarify synchronous nature of these RPCs.
* Clarify the relationship between inter-layer and inter-domain.
* Refer to terminology draft for terminology alignment.
* Fix pyang compilation issue and yang lint issue.
* Fix Broken ref by using node-ref defined in RFC8345.
* Update YANG data model based on issues raised in issue tracker of
the github.
* Shorten the list of authors to 5 based on chairs' comment and move
additional authors to top 3 contributors.
* Merge ietf-incident-type.yang into ietf-incident.yang
* Fix enumeration on leaf type
* Clarify the scope in the abstract and introduction and make the
scope focus on YANG data model
* Provide text around figure 5 to clarify how the incident server
know the real effect on the relevant services.
* Other editorial changes.
v00 (draft-ietf-nmop-network-incident-yang)
* Change draft name from draft-feng-opsawg-incident-management into
draft-feng-nmop-netwrok-incident-yang
* Change title into A YANG Data Model for Network Incident
Management
* open issues is tracked in https://github.com/billwuqin/network-
incident/issues
v03 - v04 (draft-feng-opsawg-incident-management)
* Update incident defintion based on TMF incident API profile
specification.
* Update use case on Multi-layer Fault Demarcation based on side
meeting discussion and IETF 119 session discussion.
* Update section 5.1 to explain how network incident is generated
based on other factors.
* Add one new use cases on Security Events noise reduction based on
Situation Awareness.
* Other Editorial changes.
v02 - v03 (draft-feng-opsawg-incident-management)
* Add one new use cases on Incident Generation.
* Add reference to Precision Availability Metric defined in IPPM PAM
WG document.
v01 - v02
* A few Editorial change to YANG data models in section 8.
* Add some text to the model design overview.
* Revise sample use cases section to focus on two key use cases.
* Motivation and goal clarification in the introduction section.
v00 - v01 (draft-feng-opsawg-incident-management)
* Modify the introduction.
* Rename incident agent to incident server.
* Add the interworking with alarm management.
* Add the interworking with SAIN.
* Add the relationship with RFC8969.
* Add the relationship with observation timestamp and trace context.
* Clarify the incident identification process.
* Modify the work flow of incident diagnosis and resolution.
* Remove identities and typedefs from ietf-incident YANG module, and
create a new YANG module called ietf-incident-types.
* Modify ietf-incident YANG module, for example, modify incident-
diagnose rpc and incident-resolve rpc.
Contributors
Thomas Graf
Swisscom
Binzring 17CH-8045
CH- Zurich
Switzerland
Email: thomas.graf@swisscom.com
Zhenqiang Li
CMCC
Email: li_zhenqiang@hotmail.com
Yanlei Zheng
China Unicom
Email: zhengyanlei@chinaunicom.cn
Yunbin Xu
CAICT
Email: xuyunbin@caict.ac.cn
Xing Zhao
CAICT
Email: zhaoxing@caict.ac.cn
Chaode Yu
Huawei
Email: yuchaode@huawei.com
MingShuang Jin
Huawei Technologies
Email: jinmingshuang@huawei.com
Chunchi Liu
Huawei Technologies
Email: liuchunchi@huawei.com
Aihua Guo
Futurewei Technologies
Email: aihuaguo.ietf@gmail.com
Zhidong Yin
Huawei
Email: yinzhidong@huawei.com
Guoxiang Liu
Huawei
Email: liuguoxiang@huawei.com
Kaichun Wu
Huawei
Email: wukaichun@huawei.com
Authors' Addresses
Tong Hu
CMCC
Building A01, 1600 Yuhangtang Road, Wuchang Street, Yuhang District
Hangzhou
311121
China
Email: hutong@cmhi.chinamobile.com
Luis Miguel Contreras Murillo
Telefonica I+D
Madrid
Spain
Email: luismiguel.contrerasmurillo@telefonica.com
Qin Wu
Huawei
101 Software Avenue, Yuhua District
Nanjing
210012
China
Email: bill.wu@huawei.com
Nigel Davis
Ciena
Email: ndavis@ciena.com
Chong Feng
Email: fengchongllly@gmail.com
Datatracker
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