| Internet-Draft | Incident Management | July 2023 |
| Feng, et al. | Expires 8 January 2024 | [Page] |
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 few amount of incidents by correlation analysis and the service impact analysis.¶
This document also defines YANG modules to support the incident lifecycle management. The YANG modules are meant to provide a standard way to report, diagnose, and resolve incidents for the sake of enhanced network services.¶
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.¶
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at https://datatracker.ietf.org/drafts/current/.¶
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."¶
This Internet-Draft will expire on 8 January 2024.¶
Copyright (c) 2023 IETF Trust and the persons identified as the document authors. All rights reserved.¶
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (https://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Revised BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Revised BSD License.¶
[RFC8969] defines a framework for Automating Service and Network Management with YANG 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 [RFC7950] 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 also 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 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 grealy overwhelm OSS platforms; with known depdendency relation between fault, alarm and events, the traditional solutions, e.g., data compression are time-consuming and labor-intensive, usually rely on maintenance engineers' experience for data analysis, which result in low processing efficiency, inaccurate root cause identification and duplicated tickets. And, it is also difficult to assess the impact of alarms, performance metrics and other anomaly data on network services.¶
To address these challenges, an incident-centric solution is proposed for network level root cause analysis, service impact analysis and network troubleshooting, which can span across multiple layer and multiple domains. 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 few amount of incidents by correlation analysis and the service impact analysis. For example, the protocols related to the interface fail to work properly due to the interface down, large amount of alarms may be reported to upper layer management system and aggregated into one or a few incidents when some network services may be affected by this incident (e.g. L3VPN services related with the interface will become unavailable). An incident may also be raised through the analysis of some network performance metrics, for example, as described in SAIN [I-D.ietf-opsawg-service-assurance-architecture] , network services can be decomposed to some sub-services, some metrics are monitored for each sub-service, symptoms will occur if services/sub-services are unhealthy(after analyzing metrics), these symptoms may raise one incident when it causes degradation of the network services.¶
In addition, Artificial Intelligence (AI) and Machine Learning (ML) play a important role in the processing of large amounts of data with complex correlations. For example, Neural Network Algorithm or Hierarchy Aggregation Algorithm can be used to replace manual alarm correlation. Through online and offline learning, these algorithms can be continuously optimized to improve the efficiency of fault diagnosis.¶
This document defines the concepts, requirements, and architecture of incident management. The document also defines a YANG data model for incident lifecycle management, which improves troubleshooting efficiency, ensures network service quality, and improves network automation [RFC8969].¶
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] are not redefined here:¶
The following terms are defined in this document:¶
An unexpected interruption of a network service, degradation of network service quality, or sub-health of a network service.¶
Traditionally, the dispatching of trouble tickets is mostly based on alarms data analysis and need to involve operators' maintenance engineers. These operators' maintenance engineers are able to monitor and detect that alarms 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 whitelist and adopt some coarse granularity association rules for the alarm management. It seems to improve fault management automation. However, some trouble tickets could be missed if the filtering conditions are too tight. If the filtering conditions are too loose, multiple trouble tickets would be dispatched to the same fault.¶
It is hard to achieve a perfect balance between the automation and duplicated trouble tickets under the traditional working situations. However, with the help of the incident management, massive alarms can be aggregated into a few incidents, multiple trouble tickets will be saved. At the same time, incident management can keep high accuracy and automation. This could be an answer to this pain point of traditional trouble ticket dispatching.¶
Currently, to accomplish fault isolation and fault localization, maintenance experts need to correlate topology data, service data together with huge amount of alarm data at different layers (e.g., optical layer, packet layer) to do the analysis. Sometimes some cooperations from the construction engineers who work on site, are required to attempt to make change configuration on devices and then further investigate the corresponding root cause. Sometimes cooperations between different operation teams are required to locate fault either at the optical layer or packet layer.¶
For example, for a common cable interruption, maintenance experts need to analyze the root cause alarm from large amount of alarms, and then trace the root cause alarm in the network segment by segment. Next, site engineers perform tests at the source station to locate the interruption and locate the faulty optical exchange station. Then they move to the located optical exchange station to replace or splice fibers. During the whole process, multiple people are needed inside and outside the site.¶
With the help of incident management, the system can automatically locate the faulty segment, and eliminate the need for manual analysis. By cooperating with the integrated Optical time-domain reflectometer (OTDR) within the equipment, we can determine the target optical exchange station before site visits. Multiple site visits and time are saved.¶
Fiber cutover is a common maintenance scenario for Operators. During the cutover process, maintenance experts must identify affected devices based on the cutover object and their experience. They will give these devices a mark to inform other maintenance engineers that it is not necessary to dispatch trouble tickets before the ending of cutover.¶
However, depending on the human experience, it is very likely to make some mistakes. For example, some devices are missing to mark and some devices are marked incorrectly. If the devices are missing to be marked, some trouble tickets will be dispatched during cutover, which are not needed actually. If the devices are wrongly marked, some fault not related to this cutover will be missing.¶
With incident management, maintenance experts only need to mark the cutover objects and do not need to mark the devices that would be affected. Because of the alarm aggregation capabilities and knowing the relationship between root cause alarm and correlative alarm, the fault management system can automatically identify correlative alarms, without dispatching any trouble tickets to the affected devices.¶
With the global trend of energy conservation, emission reduction and safety management, more and more enterprises have joined the energy conservation and emission reduction ranks and adopted measures to turn off the power during non-working hours, making due contributions to the green earth. However, this proactive power-off measure periodically generates a large number of alarms on the network, and the traditional Operation and Management system can not effectively identify such non-real faults caused by the enterprise users. Operators need to manually identify and rectify faults based on the expert experience, wasting a large number of human resources.¶
Incident management can intelligently identify faults caused by periodic power-off on the tenant side and directly identify faults. As a result, operators do not need to dispatch trouble tickets for such faults anymore, this can help to reduce human resource costs.¶
+----------------------+-------------------+
| |
| Incident Management Client |
| |
| |
+------------+---------+---------+---------+
^ | | |
|Incident |Incident |Incident |Incident
|Report |Ack |Diagnose |Resolve
| | | |
| V V V
+--+-------------------+---------+----------+
| |
| |
| Incident Management Server |
| |
| |
| |
| |
+----------------------+-----+--+-----------+
^ ^Abnormal ^
|Alarm |Operations |Metrics
|Report |Report |/Telemetry
| | V
+--------+-+-+-------+--------------++------------------+
| |
| Network |
| |
+------------------------------------+------------------+
Figure 1 illustrates the incident management architecture. Two key components for the incident management are incident management client and incident management server.¶
Incident management server can be deployed in network analytics platform, controllers and provides functionalities such as incident identification, report, diagnosis, resolution, querying for incident lifecycle management.¶
Incident management client can be deployed in the network OSS or other business systems of operators and invokes the functionalities provided by incident management server to meet the business requirements of fault management.¶
A typical workflow of incident management is as follows:¶
+-----------------------------+
| OSS |
|+-------+ +-----------+ |
||alarm | | incident | |
||handler| | client | |
|+-------+ +-----------+ |
+---^---------------^---------+
| |
|alarm |incident
+---|---------------|---------+
| | controller | |
| | | |
|+--+---++ +-----------+ |
||alarm | | | |
||process+----->| incident | |
|| |alarm | server | |
|+------++ +-----------+ |
| ^ ^ |
+---+--------------|----------+
|alarm | metrics/trace/etc.
| |
+---+--------------+----------+
| network |
| |
+-----------------------------+
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 incident management often works at the network level, so it's possible to have enough information to perform correlation and service impact analysis. Alarms can work as one of data sources of incident management and may be aggregated into few amount of incidents by correlation analysis, network service impact and root causes may be determined during incident process.¶
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. OSS). Upper layer system may store these alarms and provide the information for fault analysis (e.g. deeper analysis based on incident).¶
Compared with alarm management, incident management provides not only 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.¶
+----------------+
| incident client|
+----------------+
^
|incident
+-------+--------+
|incident server |
+----------------+
^
|symptoms
+-------+--------+
| SAIN |
| |
+----------------+
^
|metrics
+-------------+-------------+
| |
| network |
| |
+---------------------------+
SAIN [I-D.ietf-opsawg-service-assurance-architecture] defines the architecture of network service assurance. 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 server may identify the incident based on symptoms, and then report it to upper layer system. So, SAIN can be one way to identify incident, services, sub-services and metrics can be preconfigured via APIs defined by service assurance YANG model [I-D.ietf-opsawg-service-assurance-yang] and incident will be reported if symptoms match the condition of incident.¶
[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. Incident works at the network layer and aggregates alarms, metrics and other information from device layer, it's helpful to provfide service assurance. And the incident diagnosis may be one way of service diagnosis.¶
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 an incident should be reported.¶
+--------------+
+--| Incident1 |
| +--+-----------+
| | +-----------+
| +--+ alarm1 |
| | +-----------+
| |
| | +-----------+
| +--+ alarm2 |
| | +-----------+
| |
| | +-----------+
| +--+ alarm3 |
| +-----------+
| +--------------+
+--| Incident2 |
| +--+-----------+
| | +-----------+
| +--+ metric1 |
| | +-----------+
| | +-----------+
| +--+ metric2 |
| +-----------+
|
| +--------------+
+--| Incident3 |
+--+-----------+
| +-----------+
+--+ alarm1 |
| +-----------+
|
| +-----------+
+--| metric1 |
+-----------+
As described in Figure 4, multiple alarms, metrics, or hybrid can be aggregated into an incident after analysis.¶
The incident management server MUST be capable of identifying 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 incident rules, incident will be identified and reported to the client. Service impact analysis will be performed if an indent is identified, and the content of incident will be updated if impacted network services are detected.¶
AI/ML may be used to identify the 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 incident will be identified faster according to knowledge base next time.¶
As mentioned above, SAIN is another way to implement incident identification. Observation timestamp defined in [I-D.tgraf-yang-push-observation-time] and trace context defined in [W3C-Trace-Context] may be helpful for incident identification.¶
+----------------------+
| |
| Orchestrator |
| |
+----+-----------------+
^VPN A Unavailable
|
+---+----------------+
| |
| Controller |
| |
| |
+-+-+-+-----+--+-----+
^ ^ ^
IGP | |Interface |IGP Peer
Down | |Down | Abnormal
| | |
VPN A | | |
+-----------------+-+------------+------------------*
| \ +---+ ++-++ +-+-+ +---+ /|
| \ | | | | | | | | / |
| \|PE1+-------| P1+X--------|P2 +--------|PE2|/ |
| +---+ +---+ +---+ +---+ |
+---------------------------------------------------+
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 controller, and the incident 'vpn unavailable' is triggered by the controller.¶
+----------------------+
| |
| Orchestrator |
| |
+----+-----------------+
^VPN A Degradation
|
+---+----------------+
| |
| controller |
| |
| |
+-+-+-+-----+--+-----+
^ ^
|Packet |Path Delay
|Loss |
| |
VPN A | |
+-------------------+------------+-------------------+
| \ +---+ ++-++ +-+-+ +---+ / |
| \ | | | | | | | | / |
| \|PE1+-------|P1 +---------|P2 +--------|PE2|/ |
| +---+ +---+ +---+ +---+ |
+----------------------------------------------------+
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, an incident 'VPN A degradation' may be triggered after analysis.¶
After an incident is reported to the incident management client, the 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 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.¶
After the root cause is diagnosed, the client MAY resolve the incident. The client MAY choose resolve the 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 an 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 incident, if the faults are fixed, the server will update the status of incident to 'cleared', and report the updated incident to the client.¶
Incident resolution may affect the running network services. The client can choose not to perform those operations after determining the impact is not trivial.¶
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.¶
From an incident instance perspective, an incident can have the following lifecycle: 'raised', 'updated', 'cleared'. When an incident is generated, the status is 'raised'. If the status changes after the incident 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 an incident is successfully resolved, the status changes to 'cleared'.¶
From an operator perspective, the lifecycle of an incident instance includes 'acknowledged', 'diagnosed', and 'resolved'. When an incident instance is generated, the operator SHOULD acknowledge the incident. And then the operator attempts to diagnose the incident (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 incident is generated, diagnosis is not required. After locating the root cause and affected components, operator can try to resolve the incident.¶
module: ietf-incident
+--ro incidents
+--ro incident* [incident-id]
+--ro incident-id string
+--ro csn? uint64
+--ro service-instance* string
+--ro name? string
+--ro type? enumeration
+--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 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-id?
-> /inc:incidents/inc:incident/inc:incident-id
...
+--ro time? yang:date-and-time
¶
notifications:
+---n incident-notification
+--ro incident-id?
-> /inc:incidents/inc:incident/inc:incident-id
+--ro csn? uint64
+--ro service-instance* string
+--ro name? string
+--ro type? enumeration
+--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]
| +--ro node -> /nw:networks/nw:network/nw:node/nw:node-id
| +--ro resource* [name]
| +--ro name al:resource
+--ro root-causes
| +--ro root-cause* [node]
| +--ro node -> /nw:networks/nw:network/nw:node/nw:node-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 an incident instance is identified, the notification will be sent. After a notification is generated, if the incident management server performs self diagnosis or the client uses the interfaces provided by the 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 an incident is successfully resolved, the status of the incident would be set to 'cleared'.¶
+---x incident-acknowledge
| +---w input
| | +---w incident-id*
| | -> /inc:incidents/inc:incident/inc:incident-id
¶
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¶
+---x incident-diagnose
| +---w input
| | +---w incident-id*
| | -> /inc:incidents/inc:incident/inc:incident-id
¶
After an incident is generated, incident diagnose rpc can be used to diagnose the incident and locate the root causes. 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 diagnosis is performed, a incident update notification will be triggered to report the latest status of the incident.¶
+---x incident-resolve
+---w input
| +---w incident-id*
| -> /inc:incidents/inc:incident/inc:incident-id
¶
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.¶
Incident resolve rpc allows multiple incident instances to be resolved at a time. If an incident instance is successfully resolved, a notification will be triggered to update the incident status to 'cleared'. If the incident content is changed during this process, a notification update will be triggered.¶
<CODE BEGINS>
file="[email protected]"
module ietf-incident-types {
yang-version "1.1";
namespace "urn:ietf:params:xml:ns:yang:ietf-incident-types";
prefix "int";
import ietf-network {
prefix nw;
reference
"RFC 8345: A YANG Data Model for Network Topologies";
}
organization
"IETF OPSAWG Working Group";
contact
"WG Web: <https://datatracker.ietf.org/wg/opsawg/>;
WG List: <mailto:[email protected]>
Author: Chong Feng <mailto:[email protected]>
Author: Tong Hu <mailto:[email protected]>
Author: Luis Miguel Contreras Murillo <mailto:
[email protected]>
Author : Thomas Graf <mailto:[email protected]>
Author : Qin Wu <mailto:[email protected]>
Author: Chaode Yu <mailto:[email protected]>
Author: Nigel Davis <mailto:[email protected]>";
description
"This module defines the identities and typedefs for
incident management.
Copyright (c) 2022 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; see the
RFC itself for full legal notices. ";
revision 2023-05-16 {
description "initial version";
reference "RFC XXX: Yang module for 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-enviorment {
base device;
description "power system 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.";
}
//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 node-ref {
type leafref {
path "/nw:networks/nw:network/nw:node/nw:node-id";
}
description "reference a network node.";
}
}
<CODE ENDS>¶
<CODE BEGINS>
file="[email protected]"
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-incident-types {
prefix int;
reference
"draft-feng-opsawg-incident-management: Incident
Management for Network Services";
}
organization
"IETF OPSAWG Working Group";
contact
"WG Web: <https://datatracker.ietf.org/wg/opsawg/>;
WG List: <mailto:[email protected]>
Author: Chong Feng <mailto:[email protected]>
Author: Tong Hu <mailto:[email protected]>
Author: Luis Miguel Contreras Murillo <mailto:
[email protected]>
Author : Qin Wu <mailto:[email protected]>
Author: Chaode Yu <mailto:[email protected]>
Author: Nigel Davis <mailto:[email protected]>";
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) 2022 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; see the
RFC itself for full legal notices. ";
revision 2023-05-16 {
description "remove identies and typedefs to independent yang
module. update some definitions of data model.";
reference "RFC XXX: Yang module for incident management.";
}
revision 2023-03-13 {
description "initial version";
reference "RFC XXX: Yang module for incident management.";
}
//groupings
grouping resources-info {
description "the grouping which defines the network
resources of a node.";
leaf node {
type int:node-ref;
description "reference to a network node.";
}
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 is occured.
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 csn {
type uint64;
mandatory true;
description "The sequence number of the incident instance.";
}
leaf-list service-instance {
type string;
description "the related network service instances of
the incident instance.";
}
leaf name {
type string;
mandatory true;
description "the name of an incident.";
}
leaf type {
type enumeration {
enum fault {
description "It indicates the type of the incident
is a fault, for example an interface
fails to work.";
}
enum potential-risk {
description "It indicates the type of the incident
is a potential risk, for example high
CPU rate may cause a fault in the
future.";
}
}
mandatory true;
description "The type of an incident.";
}
leaf domain {
type identityref {
base int:incident-domain;
}
mandatory true;
description "the domain of an incident.";
}
leaf priority {
type int: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 int: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;
uses resources-info;
min-elements 1;
description "The source components of incident.";
}
}
container root-causes{
description "The root cause objects.";
list root-cause {
key node;
description "the root causes of incident.";
grouping root-cause-info {
description "The information of root cause.";
leaf cause-name {
type string;
description "the name of cause";
}
leaf detail {
type string;
description "the detail information of the cause.";
}
}
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 events of the incident.";
list root-event {
key "type event-id";
description "the root 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 enumeration {
enum alarm {
description "alarm type";
}
enum inform {
description "inform type";
}
enum KPI {
description "KPI type";
}
enum unknown {
description "unknown 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 "type = '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
}
}
}
}
}
//data definitions
container incidents {
config false;
description "the information of incidents.";
list incident {
key incident-id;
description "the information of incident.";
leaf incident-id {
type string;
description "the identifier of an incident instance.";
}
uses incident-info;
uses incident-time-info;
}
}
// notifications
notification incident-notification {
description "incident notification. It will be triggered when
the incident is raised, updated or cleared.";
leaf incident-id {
type leafref {
path "/inc:incidents/inc:incident/inc:incident-id";
}
description "the identifier of an incident instance.";
}
uses incident-info;
leaf time {
type yang:date-and-time;
description "occur time of an incident instance.";
}
}
// rpcs
rpc incident-acknowledge {
description "This rpc can be used to acknowledge the specified
incidents.";
input {
leaf-list incident-id {
type leafref {
path "/inc:incidents/inc:incident/inc:incident-id";
}
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-id {
type leafref {
path "/inc:incidents/inc:incident/inc:incident-id";
}
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-id {
type leafref {
path "/inc:incidents/inc:incident/inc:incident-id";
}
description
"the identifier of an incident instance.";
}
}
}
}
<CODE ENDS>¶
This document registers one XML namespace URN in the 'IETF XML registry', following the format defined in [RFC3688].¶
URI: urn:ietf:params:xml:ns:yang:ietf-incident Registrant Contact: The IESG. XML: N/A, the requested URIs are XML namespaces.¶
This document registers one module name in the 'YANG Module Names' registry, defined in [RFC6020].¶
name: ietf-incident prefix: inc namespace: urn:ietf:params:xml:ns:yang:ietf-incident RFC: XXXX // RFC Ed.: replace XXXX and remove this comment¶
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.¶
There are a number of data nodes defined in this YANG module that are writable/creatable/deletable (i.e., config true, which is the default). These data nodes may be considered sensitive or vulnerable in some network environments. Write operations (e.g., edit-config) to these data nodes without proper protection can have a negative effect on network operations. These are the subtrees and data nodes and their sensitivity/vulnerability:¶
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:¶
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:¶
Aihua Guo Futurewei Technologies [email protected]¶
Zhidong Yin Huawei [email protected]¶
Guoxiang Liu Huawei [email protected]¶
Kaichun Wu Huawei [email protected]¶
Yanlei Zheng China Unicom [email protected]¶
Yunbin Xu CAICT [email protected]¶
The authors would like to thank Mohamed Boucadair, Robert Wilton, Benoit Claise, Oscar Gonzalez de Dios, Mahesh Jethanandani, Balazs Lengyel, Bo Wu, Qiufang Ma, Haomian Zheng, YuanYao for their valuable comments and great input to this work.¶
[[RFC editor: please remove this section before publication.]]¶
v00 - v01¶