TEAS Working Group Y. Lee (Editor)
Internet Draft Futurewei
Intended Status: Standard Track
Expires: January 1, 2020 Dhruv Dhody
` Satish Karunanithi
Huawei
Ricard Vilalta
CTTC
Daniel King
Lancaster University
Daniele Ceccarelli
Ericsson
July 1, 2019
YANG models for VN & TE Performance Monitoring Telemetry and Scaling
Intent Autonomics
draft-ietf-teas-actn-pm-telemetry-autonomics-00
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Copyright Notice
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Copyright (c) 2019 IETF Trust and the persons identified as the
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Abstract
This document provides YANG data models that describe performance
monitoring telemetry and scaling intent mechanism for TE-tunnels and
Virtual Networks (VN).
The models presented in this draft allow customers to subscribe to
and monitor their key performance data of their interest on the
level of TE-tunnel or VN. The models also provide customers with the
ability to program autonomic scaling intent mechanism on the level
of TE-tunnel as well as VN.
Table of Contents
1. Introduction...................................................3
1.1. Terminology...............................................4
1.2. Tree diagram..............................................5
1.3. Prefixes in Data Node Names...............................5
2. Use-Cases......................................................5
3. Design of the Data Models......................................7
3.1. TE KPI Telemetry Model....................................7
3.2. VN KPI Telemetry Model....................................8
4. Autonomic Scaling Intent Mechanism.............................9
5. Notification..................................................11
5.1. YANG Push Subscription Examples..........................11
6. YANG Data Tree................................................13
7. Yang Data Model...............................................15
7.1. ietf-te-kpi-telemetry model..............................15
7.2. ietf-vn-kpi-telemetry model..............................21
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8. Security Considerations.......................................25
9. IANA Considerations...........................................26
10. Acknowledgements.............................................27
11. References...................................................27
11.1. Normative References....................................27
11.2. Informative References..................................28
12. Contributors.................................................29
Authors' Addresses...............................................29
1. Introduction
The YANG model discussed in [VN] is used to operate customer-driven
Virtual Networks (VNs) during the VN instantiation, VN computation,
and its life-cycle service management and operations. YANG model
discussed in [TE-Tunnel] is used to operate TE-tunnels during the
tunnel instantiation, and its life-cycle management and operations.
The models presented in this draft allow the applications hosted by
the customers to subscribe to and monitor their key performance data
of their interest on the level of VN [VN] or TE-tunnel [TE-Tunnel].
The key characteristic of the models presented in this document is a
top-down programmability that allows the applications hosted by the
customers to subscribe to and monitor key performance data of their
interest and autonomic scaling intent mechanism on the level of VN
as well as TE-tunnel.
According to the classification of [RFC8309], the YANG data models
presented in this document can be classified as customer service
models, which is mapped to CMI (Customer Network Controller (CNC)-
Multi-Domain Service Coordinator (MSDC) interface) of ACTN
[RFC8453].
[RFC8233] describes key network performance data to be considered
for end-to-end path computation in TE networks. Key performance
indicator (KPI) is a term that describes critical performance data
that may affect VN/TE-tunnel service. The services provided can be
optimized to meet the requirements (such as traffic patterns,
quality, and reliability) of the applications hosted by the
customers.
This document provides YANG data models generically applicable to
any VN/TE-Tunnel service clients to provide an ability to program
their customized performance monitoring subscription and publication
data models and automatic scaling in/out intent data models. These
models can be utilized by a client network controller to initiate
these capability to a transport network controller communicating
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with the client controller via a NETCONF [RFC8341] or a RESTCONF
[RFC8040] interface.
The term performance monitoring being used in this document is
different from the term that has been used in transport networks for
many years. Performance monitoring in this document refers to
subscription and publication of streaming telemetry data.
Subscription is initiated by the client (e.g., CNC) while
publication is provided by the network (e.g., MDSC/PNC) based on the
client's subscription. As the scope of performance monitoring in
this document is telemetry data on the level of client's VN or TE-
tunnel, the entity interfacing the client (e.g., MDSC) has to
provide VN or TE-tunnel level information. This would require
controller capability to derive VN or TE-tunnel level performance
data based on lower-level data collected via PM counters in the
Network Elements (NE). How the controller entity derives such
customized level data (i.e., VN or TE-tunnel level) is out of the
scope of this document.
The data model includes configuration and state data according to
the new Network Management Datastore Architecture [RFC8342].
1.1. Terminology
Refer to [RFC8453], [RFC7926], and [RFC8309] for the key terms used
in this document.
Key Performance Data: This refers to a set of data the customer is
interested in monitoring for their instantiated VNs or TE-tunnels.
Key performance data and key performance indicators are inter-
exchangeable in this draft.
Scaling: This refers to the network ability to re-shape its own
resources. Scale out refers to improve network performance by
increasing the allocated resources, while scale in refers to
decrease the allocated resources, typically because the existing
resources are unnecessary.
Scaling Intent: To declare scaling conditions, scaling intent is
used. Specifically, scaling intent refers to the intent expressed by
the client that allows the client to program/configure conditions of
their key performance data either for scaling out or scaling in.
Various conditions can be set for scaling intent on either VN or TE-
tunnel level.
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Network Autonomics: This refers to the network automation capability
that allows client to initiate scaling intent mechanisms and
provides the client with the status of the adjusted network
resources based on the client's scaling intent in an automated
fashion.
1.2. Tree diagram
A simplified graphical representation of the data model is used in
Section 5 of this this document. The meaning of the symbols in
these diagrams is defined in [RFC8340].
1.3. Prefixes in Data Node Names
In this document, names of data nodes and other data model objects
are prefixed using the standard prefix associated with the
corresponding YANG imported modules, as shown in Table 1.
+---------+------------------------------+-----------------+
| Prefix | YANG module | Reference |
+---------+------------------------------+-----------------+
| rt | ietf-routing-types | [RFC8294] |
| te | ietf-te | [TE-Tunnel] |
| te-types| ietf-te-types | [TE-Types] |
| te-tel | ietf-te-kpi-telemetry | [This I-D] |
| vn | ietf-vn | [VN] |
| vn-tel | ietf-vn-kpi-telemetry | [This I-D] |
+---------+------------------------------+-----------------+
Table 1: Prefixes and corresponding YANG modules
2. Use-Cases
[PERF] describes use-cases relevant to this draft. It introduces the
dynamic creation, modification and optimization of services based on
the performance monitoring. Figure 1 shows a high-level workflows
for dynamic service control based on traffic monitoring.
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+----------------------------------------------+
| Client +-----------------------------+ |
| | Dynamic Service Control APP | |
| +-----------------------------+ |
+----------------------------------------------+
1.Traffic| /|\4.Traffic | /|\
Monitor& | | Monitor | | 8.Traffic
Optimize | | Result 5.Service | | modify &
Policy | | modify& | | optimize
\|/ | optimize Req.\|/ | result
+----------------------------------------------+
| Orchestrator |
| +-------------------------------+ |
| |Dynamic Service Control Agent | |
| +-------------------------------+ |
| +---------------+ +-------------------+ |
| | Flow Optimize | | vConnection Agent | |
| +---------------+ +-------------------+ |
+----------------------------------------------+
2. Path | /|\3.Traffic | /|\
Monitor | | Monitor | |7.Path
Request | | Result 6.Path | | modify &
| | modify& | | optimize
\|/ | optimize Req.\|/ | result
+----------------------------------------------+
| Network SDN Controller |
| +----------------------+ +-----------------+|
| | Network Provisioning | |Abstract Topology||
| +----------------------+ +-----------------+|
| +------------------+ +--------------------+ |
| |Network Monitoring| |Physical Topology DB| |
| +------------------+ +--------------------+ |
+----------------------------------------------+
Figure 1 Workflows for dynamic service control based on traffic
monitoring
Some of the key points from [PERF] are as follows:
. Network traffic monitoring is important to facilitate automatic
discovery of the imbalance of network traffic, and initiate the
network optimization, thus helping the network operator or the
virtual network service provider to use the network more
efficiently and save the Capital Expense (CAPEX) and the
Operating Expense (OPEX).
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. Customer services have various Service Level Agreement (SLA)
requirements, such as service availability, latency, latency
jitter, packet loss rate, Bit Error Rate (BER), etc. The
transport network can satisfy service availability and BER
requirements by providing different protection and restoration
mechanisms. However, for other performance parameters, there
are no such mechanisms. In order to provide high quality
services according to customer SLA, one possible solution is to
measure the SLA related performance parameters, and dynamically
provision and optimize services based on the performance
monitoring results.
. Performance monitoring in a large scale network could generate
a huge amount of performance information. Therefore, the
appropriate way to deliver the information in the client and
network interfaces should be carefully considered.
3. Design of the Data Models
The YANG models developed in this document describe two models:
(i) TE KPI Telemetry Model which provides the TE-Tunnel level of
performance monitoring mechanism and scaling intent mechanism
that allows scale in/out programming by the customer. (See
Section 3.1 & 7.1 for details).
(ii) VN KPI Telemetry Model which provides the VN level of the
aggregated performance monitoring mechanism and scaling
intent mechanism that allows scale in/out programming by the
customer (See Section 3.2 & 7.2 for details).
3.1. TE KPI Telemetry Model
This module describes performance telemetry for TE-tunnel model. The
telemetry data is augmented to tunnel state. This module also
allows autonomic traffic engineering scaling intent configuration
mechanism on the TE-tunnel level. Various conditions can be set for
auto-scaling based on the telemetry data (See Section 5 for details)
The TE KPI Telemetry Model augments the TE-Tunnel Model to enhance
TE performance monitoring capability. This monitoring capability
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will facilitate proactive re-optimization and reconfiguration of TEs
based on the performance monitoring data collected via the TE KPI
Telemetry YANG model.
+------------+ +--------------+
| TE-Tunnel | | TE KPI |
| Model |<---------| Telemetry |
+------------+ augments | Model |
+--------------+
3.2. VN KPI Telemetry Model
This module describes performance telemetry for VN model. The
telemetry data is augmented both at the VN Level as well as
individual VN member level. This module also allows autonomic
traffic engineering scaling intent configuration mechanism on the VN
level. Scale in/out criteria might be used for network autonomics in
order the controller to react to a certain set of variations in
monitored parameters (See Section 4 for illustrations).
Moreover, this module also provides mechanism to define aggregated
telemetry parameters as a grouping of underlying VN level telemetry
parameters. Grouping operation (such as maximum, mean) could be set
at the time of configuration. For example, if maximum grouping
operation is used for delay at the VN level, the VN telemetry data
is reported as the maximum {delay_vn_member_1, delay_vn_member_2,..
delay_vn_member_N}. Thus, this telemetry abstraction mechanism
allows the grouping of a certain common set of telemetry values
under a grouping operation. This can be done at the VN-member level
to suggest how the E2E telemetry be inferred from the per domain
tunnel created and monitored by PNCs. One proposed example is the
following:
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+------------------------------------------------------------+
| Client |
| |
+------------------------------------------------------------+
1.Client sets the | /|\ 2. Orchestrator pushes:
grouping op, and | |
subscribes to the | | VN level telemetry for
VN level telemetry for | | - VN Utilized-bw-percentage
Delay and | | (Minimum across VN Members)
Utilized-bw-pecentage | | - VN Delay (Maximum across VN
\|/ | Members)
+------------------------------------------------------------+
| Orchestrator |
| |
+------------------------------------------------------------+
The VN Telemetry Model augments the basic VN model to enhance VN
monitoring capability. This monitoring capability will facilitate
proactive re-optimization and reconfiguration of VNs based on the
performance monitoring data collected via the VN Telemetry YANG
model.
+----------+ +--------------+
| VN | augments | VN |
| Model |<---------| Telemetry |
+----------+ | Model |
+--------------+
4. Autonomic Scaling Intent Mechanism
Scaling intent configuration mechanism allows the client to
configure automatic scale-in and scale-out mechanisms on both the
TE-tunnel and the VN level. Various conditions can be set for auto-
scaling based on the PM telemetry data.
There are a number of parameters involved in the mechanism:
. scale-out-intent or scale-in-intent: whether to scale-out or
scale-in.
. performance-type: performance metric type (e.g., one-way-delay,
one-way-delay-min, one-way-delay-max, two-way-delay, two-way-
delay-min, two-way-delay-max, utilized bandwidth, etc.)
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. threshold-value: the threshold value for a certain performance-
type that triggers scale-in or scale-out.
. scaling-operation-type: in case where scaling condition can be
set with one or more performance types, then scaling-operation-
type (AND, OR, MIN, MAX, etc.) is applied to these selected
performance types and its threshold values.
. Threshold-time: the duration for which the criteria must hold
true.
. Cooldown-time: the duration after a scaling action has been
triggered, for which there will be no further operation.
The following tree is a part of ietf-te-kpi-telemetry tree whose
model is presented in full detail in Sections 6 & 7.
module: ietf-te-kpi-telemetry
augment /te:te/te:tunnels/te:tunnel:
+-rw te-scaling-intent
| +-rw scale-in-intent
| | +-rw threshold-time? uint32
| | +-rw cooldown-time? uint32
| | +-rw scale-in-operation-type? scaling-criteria-operation
| | +-rw scaling-condition* [performance-type]
| | +-rw performance-type identityref
| | +-rw threshold-value? string
| | +-rw te-telemetry-tunnel-ref?
-> /te:te/tunnels/tunnel/name
| +-rw scale-out-intent
| +-rw threshold-time? uint32
| +-rw cooldown-time? uint32
| +-rw scale-out-operation-type? scaling-criteria-operation
| +-rw scaling-condition* [performance-type]
| +-rw performance-type identityref
| +-rw threshold-value? string
| +-rw te-telemetry-tunnel-ref?
-> /te:te/tunnels/tunnel/name
Let say the client wants to set the scaling out operation based on
two performance-types (e.g., two-way-delay and utilized-bandwidth
for a te-tunnel), it can be done as follows:
. Set Threshold-time: x (sec) (duration for which the criteria
must hold true)
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. Set Cooldown-time: y (sec) (the duration after a scaling
action has been triggered, for which there will be no further
operation)
. Set AND for the scale-out-operation-type
In the scaling condition's list, the following two components can be
set:
List 1: Scaling Condition for Two-way-delay
. performance type: Two-way-delay
. threshold-value: z milli-seconds
List 2: Scaling Condition for Utilized bandwidth
. performance type: Utilized bandwidth
. threshold-value: w megabytes
5. Notification
This model does not define specific notifications. To enable
notifications, the mechanism defined in [YANG-PUSH]
and [Event-Notification] can be used. This mechanism currently
allows the user to:
. Subscribe to notifications on a per client basis.
. Specify subtree filters or xpath filters so that only interested
contents will be sent.
. Specify either periodic or on-demand notifications.
5.1. YANG Push Subscription Examples
[YANG-PUSH] allows subscriber applications to request a continuous,
customized stream of updates from a YANG datastore.
Below example shows the way for a client to subscribe to the
telemetry information for a particular tunnel (Tunnel1). The
telemetry parameter that the client is interested in is one-way-
delay.
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<netconf:rpc netconf:message-id="101"
xmlns:netconf="urn:ietf:params:xml:ns:netconf:base:1.0">
<establish-subscription
xmlns="urn:ietf:params:xml:ns:yang:ietf-yang-push:1.0">
<filter netconf:type="subtree">
<te xmlns="urn:ietf:params:xml:ns:yang:ietf-te">
<tunnels>
<tunnel>
<name>Tunnel1</name>
<identifier/>
<state>
<te-telemetry xmlns="urn:ietf:params:xml:ns:yang:
ietf-te-kpi-telemetry">
<one-way-delay/>
</te-telemetry>
</state>
</tunnel>
</tunnels>
</te>
</filter>
<period>500</period>
<encoding>encode-xml</encoding>
</establish-subscription>
</netconf:rpc>
This example shows the way for a client to subscribe to the
telemetry information for all VNs. The telemetry parameter that the
client is interested in is one-way-delay and one-way-utilized-
bandwidth.
<netconf:rpc netconf:message-id="101"
xmlns:netconf="urn:ietf:params:xml:ns:netconf:base:1.0">
<establish-subscription
xmlns="urn:ietf:params:xml:ns:yang:ietf-yang-push:1.0">
<filter netconf:type="subtree">
<vn-state xmlns="urn:ietf:params:xml:ns:yang:ietf-vn">
<vn>
<vn-list>
<vn-id/>
<vn-name/>
<vn-telemetry xmlns="urn:ietf:params:xml:ns:yang:
ietf-vn-kpi-telemetry">
<one-way-delay/>
<one-way-utilized-bandwidth/>
</vn-telemetry >
</vn-list>
</vn>
</vn-state>
</filter>
<period>500</period>
</establish-subscription>
</netconf:rpc>
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6. YANG Data Tree
module: ietf-te-kpi-telemetry
augment /te:te/te:tunnels/te:tunnel:
+--rw te-scaling-intent
| +--rw scale-in-intent
| | +--rw threshold-time? uint32
| | +--rw cooldown-time? uint32
| | +--rw scale-in-operation-type? scaling-criteria-operation
| | +--rw scaling-condition* [performance-type]
| | +--rw performance-type identityref
| | +--rw threshold-value? string
| | +--rw te-telemetry-tunnel-ref?
| | -> /te:te/tunnels/tunnel/name
| +--rw scale-out-intent
| +--rw threshold-time? uint32
| +--rw cooldown-time? uint32
| +--rw scale-out-operation-type? scaling-criteria-operation
| +--rw scaling-condition* [performance-type]
| +--rw performance-type identityref
| +--rw threshold-value? string
| +--rw te-telemetry-tunnel-ref?
| -> /te:te/tunnels/tunnel/name
+--ro te-telemetry
+--ro id? string
+--ro performance-metrics-one-way
| +--ro one-way-delay? uint32
| +--ro one-way-delay-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-residual-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-residual-bandwidth-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-available-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-available-bandwidth-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-utilized-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-utilized-bandwidth-normality?
| te-types:performance-metrics-normality
+--ro performance-metrics-two-way
| +--ro two-way-delay? uint32
| +--ro two-way-delay-normality?
| te-types:performance-metrics-normality
+--ro te-ref?
-> /te:te/tunnels/tunnel/name
module: ietf-vn-kpi-telemetry
augment /vn:vn/vn:vn-list:
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+--rw vn-scaling-intent
| +--rw scale-in-intent
| | +--rw threshold-time? uint32
| | +--rw cooldown-time? uint32
| | +--rw scale-in-operation-type? scaling-criteria-operation
| | +--rw scaling-condition* [performance-type]
| | +--rw performance-type identityref
| | +--rw threshold-value? string
| | +--rw te-telemetry-tunnel-ref?
| | -> /te:te/tunnels/tunnel/name
| +--rw scale-out-intent
| +--rw threshold-time? uint32
| +--rw cooldown-time? uint32
| +--rw scale-out-operation-type? scaling-criteria-operation
| +--rw scaling-condition* [performance-type]
| +--rw performance-type identityref
| +--rw threshold-value? string
| +--rw te-telemetry-tunnel-ref?
| -> /te:te/tunnels/tunnel/name
+--ro vn-telemetry
+--ro performance-metrics-one-way
| +--ro one-way-delay? uint32
| +--ro one-way-delay-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-residual-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-residual-bandwidth-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-available-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-available-bandwidth-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-utilized-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-utilized-bandwidth-normality?
| te-types:performance-metrics-normality
+--ro performance-metrics-two-way
| +--ro two-way-delay? uint32
| +--ro two-way-delay-normality?
| te-types:performance-metrics-normality
+--ro grouping-operation? grouping-operation
augment /vn:vn/vn:vn-list/vn:vn-member-list:
+--ro vn-member-telemetry
+--ro performance-metrics-one-way
| +--ro one-way-delay? uint32
| +--ro one-way-delay-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-residual-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-residual-bandwidth-normality?
| | te-types:performance-metrics-normality
| +--ro one-way-available-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-available-bandwidth-normality?
| | te-types:performance-metrics-normality
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| +--ro one-way-utilized-bandwidth?
| | rt-types:bandwidth-ieee-float32
| +--ro one-way-utilized-bandwidth-normality?
| te-types:performance-metrics-normality
+--ro performance-metrics-two-way
| +--ro two-way-delay? uint32
| +--ro two-way-delay-normality?
| te-types:performance-metrics-normality
+--ro te-grouped-params*
| -> /te:te/tunnels/tunnel/te-kpi:te-telemetry/id
+--ro grouping-operation? grouping-operation
7. Yang Data Model
7.1. ietf-te-kpi-telemetry model
The YANG code is as follows:
<CODE BEGINS> file "ietf-te-kpi-telemetry@2019-04-18.yang"
module ietf-te-kpi-telemetry {
yang-version 1.1;
namespace "urn:ietf:params:xml:ns:yang:ietf-te-kpi-telemetry";
prefix te-tel;
import ietf-te {
prefix te;
reference
"RFC YYYY: A YANG Data Model for Traffic Engineering
Tunnels and Interfaces";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-ietf-teas-yang-te
becomes an RFC.*/
import ietf-te-types {
prefix te-types;
reference
"RFC YYYY: Traffic Engineering Common YANG Types";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-ietf-teas-yang-te-types
becomes an RFC.*/
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organization
"IETF Traffic Engineering Architecture and Signaling (TEAS)
Working Group";
contact
"Editor: Young Lee <leeyoung@huawei.com>
Editor: Dhruv Dhody <dhruv.ietf@gmail.com>
Editor: Ricard Vilalta <ricard.vilalta@cttc.es>
Editor: Satish Karunanithi <satish.karunanithi@gmail.com>";
description
"This module describes YANG data model for performance
monitoring telemetry for te tunnels.
Copyright (c) 2019 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 Simplified
BSD License set forth in Section 4.c of the IETF Trust's
Legal Provisions Relating to IETF Documents
(http://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC XXXX; see
the RFC itself for full legal notices.";
/* Note: The RFC Editor will replace XXXX with the number
assigned to the RFC once draft-lee-teas-pm-telemetry-
autonomics becomes an RFC.*/
revision 2019-04-18 {
description
"Initial revision. This YANG file defines
a YANG model for TE telemetry.";
reference "Derived from earlier versions of base YANG files";
}
identity telemetry-param-type {
description
"Base identity for telemetry param types";
}
identity one-way-delay {
base telemetry-param-type;
description
"To specify average Delay in one (forward)
direction";
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reference
"RFC7471: OSPF Traffic Engineering (TE) Metric Extensions.
RFC8570: IS-IS Traffic Engineering (TE) Metric Extensions.
RFC7823: Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions";
}
identity two-way-delay {
base telemetry-param-type;
description
"To specify average Delay in both (forward and reverse)
directions";
reference
"RFC7471: OSPF Traffic Engineering (TE) Metric Extensions.
RFC8570: IS-IS Traffic Engineering (TE) Metric Extensions.
RFC7823: Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions";
}
identity one-way-delay-variation {
base telemetry-param-type;
description
"To specify average Delay Variation in one (forward) direction";
reference
"RFC7471: OSPF Traffic Engineering (TE) Metric Extensions.
RFC8570: IS-IS Traffic Engineering (TE) Metric Extensions.
RFC7823: Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions";
}
identity two-way-delay-variation {
base telemetry-param-type;
description
"To specify average Delay Variation in both (forward and reverse)
directions";
reference
"RFC7471: OSPF Traffic Engineering (TE) Metric Extensions.
RFC8570: IS-IS Traffic Engineering (TE) Metric Extensions.
RFC7823: Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions";
}
identity utilized-bandwidth {
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base telemetry-param-type;
description
"To specify utilized bandwidth over the specified source
and destination.";
reference
"RFC7471: OSPF Traffic Engineering (TE) Metric Extensions.
RFC8570: IS-IS Traffic Engineering (TE) Metric Extensions.
RFC7823: Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions";
}
identity utilized-percentage {
base telemetry-param-type;
description
"To specify utilization percentage of the entity
(e.g., tunnel, link, etc.)";
}
typedef scaling-criteria-operation {
type enumeration {
enum AND {
description
"AND operation";
}
enum OR {
description
"OR operation";
}
}
description
"Operations to analize list of scaling criterias";
}
grouping scaling-duration {
description
"Base scaling criteria durations";
leaf threshold-time {
type uint32;
units "seconds";
description
"The duration for which the criteria must hold true";
}
leaf cooldown-time {
type uint32;
units "seconds";
description
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"The duration after a scaling-in/scaling-out action has been
triggered, for which there will be no further operation";
}
}
grouping scaling-criteria {
description
"Grouping for scaling criteria";
leaf performance-type {
type identityref {
base telemetry-param-type;
}
description
"Reference to the tunnel level telemetry type";
}
leaf threshold-value {
type string;
description
"Scaling threshold for the telemetry parameter type";
}
leaf te-telemetry-tunnel-ref {
type leafref {
path "/te:te/te:tunnels/te:tunnel/te:name";
}
description
"Reference to tunnel";
}
}
grouping scaling-in-intent {
description
"Basic scaling in intent";
uses scaling-duration;
leaf scale-in-operation-type {
type scaling-criteria-operation;
default "AND";
description
"Operation to be applied to check between
scaling criterias to check if the scale in
threshold condition has been met.
Defaults to AND";
}
list scaling-condition {
key "performance-type";
description
"Scaling conditions";
uses scaling-criteria;
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}
}
grouping scaling-out-intent {
description
"Basic scaling out intent";
uses scaling-duration;
leaf scale-out-operation-type {
type scaling-criteria-operation;
default "OR";
description
"Operation to be applied to check between
scaling criterias to check if the scale out
threshold condition has been met.
Defauls to OR";
}
list scaling-condition {
key "performance-type";
description
"Scaling conditions";
uses scaling-criteria;
}
}
augment "/te:te/te:tunnels/te:tunnel" {
description
"Augmentation parameters for config scaling-criteria
TE tunnel topologies. Scale in/out criteria might be used
for network autonomics in order the controller
to react to a certain set of monitored params.";
container te-scaling-intent {
description
"scaling intent";
container scale-in-intent {
description
"scale-in";
uses scaling-in-intent;
}
container scale-out-intent {
description
"scale-out";
uses scaling-out-intent;
}
}
container te-telemetry {
config false;
description
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"telemetry params";
leaf id {
type string;
description
"Id of telemetry param";
}
uses te-types:performance-metrics-attributes;
leaf te-ref {
type leafref {
path "/te:te/te:tunnels/te:tunnel/te:name";
}
description
"Reference to measured te tunnel";
}
}
}
}
<CODE ENDS>
7.2. ietf-vn-kpi-telemetry model
The YANG code is as follows:
<CODE BEGINS> file "ietf-vn-kpi-telemetry@2019-04-18.yang"
module ietf-vn-kpi-telemetry {
yang-version 1.1;
namespace "urn:ietf:params:xml:ns:yang:ietf-vn-kpi-telemetry";
prefix vn-tel;
import ietf-vn {
prefix vn;
reference
"RFC YYYY: A YANG Data Model for VN Operation";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-ietf-teas-actn-vn-yang
becomes an RFC.*/
import ietf-te {
prefix te;
reference
"RFC YYYY: A YANG Data Model for Traffic Engineering
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Tunnels and Interfaces";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-ietf-teas-yang-te
becomes an RFC.*/
import ietf-te-types {
prefix te-types;
reference
"RFC YYYY: Traffic Engineering Common YANG Types";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-ietf-teas-yang-te-types
becomes an RFC.*/
import ietf-te-kpi-telemetry {
prefix te-kpi;
reference
"RFC YYYY: YANG models for VN & TE Performance Monitoring
Telemetry and Scaling Intent Autonomics";
}
/* Note: The RFC Editor will replace YYYY with the number
assigned to the RFC once draft-lee-teas-actn-pm-telemetry
-autonomics becomes an RFC.*/
organization
"IETF Traffic Engineering Architecture and Signaling (TEAS)
Working Group";
contact
"Editor: Young Lee <leeyoung@huawei.com>
Editor: Dhruv Dhody <dhruv.ietf@gmail.com>
Editor: Ricard Vilalta <ricard.vilalta@cttc.es>
Editor: Satish Karunanithi <satish.karunanithi@gmail.com>";
description
"This module describes YANG data models for performance
monitoring telemetry for vn.
Copyright (c) 2019 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 Simplified
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BSD License set forth in Section 4.c of the IETF Trust's
Legal Provisions Relating to IETF Documents
(http://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC XXXX; see
the RFC itself for full legal notices.";
/* Note: The RFC Editor will replace XXXX with the number
assigned to the RFC once draft-lee-teas-pm-telemetry-
autonomics becomes an RFC.*/
revision 2019-04-18 {
description
"Initial revision. This YANG file defines
the VN telemetry.";
reference "Derived from earlier versions of base YANG files";
}
typedef grouping-operation {
type enumeration {
enum MINIMUM {
description
"Select the minimum param";
}
enum MAXIMUM {
description
"Select the maximum param";
}
enum MEAN {
description
"Select the MEAN of the params";
}
enum STD_DEV {
description
"Select the standard deviation of the
monitored params";
}
enum AND {
description
"Select the AND of the params";
}
enum OR {
description
"Select the OR of the params";
}
}
description
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"Operations to analize list of monitored params";
}
grouping vn-telemetry-param {
description
"augment of te-kpi:telemetry-param for VN specific params";
leaf-list te-grouped-params {
type leafref {
path "/te:te/te:tunnels/te:tunnel/te-kpi:te-telemetry/te-kpi:id";
}
description
"Allows the definition of a vn-telemetry param
as a grouping of underlying TE params";
}
leaf grouping-operation {
type grouping-operation;
description
"describes the operation to apply to
te-grouped-params";
}
}
augment "/vn:vn/vn:vn-list" {
description
"Augmentation parameters for state TE VN topologies.";
container vn-scaling-intent {
description
"scaling intent";
container scale-in-intent {
description
"VN scale-in";
uses te-kpi:scaling-in-intent;
}
container scale-out-intent {
description
"VN scale-out";
uses te-kpi:scaling-out-intent;
}
}
container vn-telemetry {
config false;
description
"VN telemetry params";
uses te-types:performance-metrics-attributes;
leaf grouping-operation {
type grouping-operation;
description
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"describes the operation to apply to the VN-members";
}
}
}
augment "/vn:vn/vn:vn-list/vn:vn-member-list" {
description
"Augmentation parameters for state TE vn member topologies.";
container vn-member-telemetry {
config false;
description
"VN member telemetry params";
uses te-types:performance-metrics-attributes;
uses vn-telemetry-param;
}
}
}
<CODE ENDS>
8. Security Considerations
The YANG module specified in this document defines a schema for data
that is designed to be accessed via network management protocols
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 NETCONF access control model [RFC8341] provides the means to
restrict access for particular NETCONF users to a preconfigured
subset of all available NETCONF protocol operations and content. The
NETCONF Protocol over Secure Shell (SSH) [RFC6242] describes a
method for invoking and running NETCONF within a Secure Shell (SSH)
session as an SSH subsystem. 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.
A number of configuration data nodes defined in this document are
writable/deletable (i.e., "config true"). These data nodes may be
considered sensitive or vulnerable in some network environments.
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
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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:
/te:te/te:tunnels/te:tunnel/te-scaling-intent/scale-in-intent
/te:te/te:tunnels/te:tunnel/te-scaling-intent/scale-out-intent
/vn:vn/vn:vn-list/vn-scaling-intent/scale-in-intent
/vn:vn/vn:vn-list/vn-scaling-intent/scale-out-intent
9. IANA Considerations
This document registers the following namespace URIs in the IETF XML
registry [RFC3688]:
--------------------------------------------------------------------
URI: urn:ietf:params:xml:ns:yang:ietf-te-kpi-telemetry
Registrant Contact: The IESG.
XML: N/A, the requested URI is an XML namespace.
--------------------------------------------------------------------
--------------------------------------------------------------------
URI: urn:ietf:params:xml:ns:yang:ietf-vn-kpi-telemetry
Registrant Contact: The IESG.
XML: N/A, the requested URI is an XML namespace.
--------------------------------------------------------------------
This document registers the following YANG modules in the YANG
Module.
Names registry [RFC7950]:
--------------------------------------------------------------------
name: ietf-te-kpi-telemetry
namespace: urn:ietf:params:xml:ns:yang:ietf-te-kpi-telemetry
prefix: te-tel
reference: RFC XXXX (TDB)
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--------------------------------------------------------------------
--------------------------------------------------------------------
name: ietf-vn-kpi-telemetry
namespace: urn:ietf:params:xml:ns:yang:ietf-vn-kpi-telemetry
prefix: vn-tel
reference: RFC XXXX (TDB)
--------------------------------------------------------------------
10. Acknowledgements
We thank Rakesh Gandhi, Tarek Saad and Igor Bryskin for useful
discussions and their suggestions for this work.
11. References
11.1. Normative References
[RFC6242] M. Wasserman, "Using the NETCONF Protocol over Secure
Shell (SSH)", RFC 6242, June 2011.
[RFC7926] A. Farrel (Ed.), "Problem Statement and Architecture for
Information Exchange between Interconnected Traffic-
Engineered Networks", RFC 7926, July 2016.
[RFC7950] M. Bjorklund, Ed., "The YANG 1.1 Data Modeling Language",
August 2016.
[RFC8040] A. Bierman, M. Bjorklund, K. Watsen, "RESTCONF Protocol",
RFC 8040, January 2017.
[RFC8233] D. Dhody, et al., "Extensions to the Path Computation
Element Communication Protocol (PCEP) to compute service
aware Label Switched Path (LSP)", RFC 8233, September
2017.
[RFC8341] A. Bierman, M. Bjorklund, "Network Configuration Access
Control Model", RFC 8341, March 2018.
[RFC8342] M. Bjorklund, J. Schoenwaelder, P. Shafer, K. Watsen, R.
Wilton, "Network Management Datastore Architecture
(NMDA)", RFC 8342, March 2018.
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[RFC8446] E. Rescorla, "The Transport Layer Security (TLS) Protocol
Version 1.3", RFC8446, August 2018.
[TE-Tunnel] T. Saad (Editor), "A YANG Data Model for Traffic
Engineering Tunnels and Interfaces", draft-ietf-teas-yang-
te, work in progress.
[TE-Types] T. Saad, et.al, "Traffic Engineering Common YANG Types",
draft-ietf-teas-yang-te-types, work in progress.
[VN] Y. Lee (Editor), "A Yang Data Model for ACTN VN Operation",
draft-lee-teas-actn-vn-yang, work in progress.
11.2. Informative References
[RFC3688] M. Mealling, "The IETF XML Registry", RFC 3688, January
2004.
[RFC6241] Enns, R., Ed., Bjorklund, M., Ed., Schoenwaelder, J., Ed.,
and A. Bierman, Ed., "Network Configuration Protocol
(NETCONF)", RFC 6241.
[RFC7471] Giacalone, S., Ward, D., Drake, J., Atlas, A., and S.
Previdi, "OSPF Traffic Engineering (TE) Metric
Extensions", RFC 7471, March 2015.
[RFC7823] Atlas, A., Drake, J., Giacalone, S., and S.
Previdi,"Performance-Based Path Selection for Explicitly
Routed Label Switched Paths (LSPs) Using TE Metric
Extensions", RFC 7823, May 2016.
[RFC8294] X. Liu, et al, "Routing Area Common YANG Data Types", RFC
8294, December 2017.
[RFC8340] M. Bjorklund and L. Berger (Editors), "YANG Tree
Diagrams", RFC 8340, March 2018.
[YANG-PUSH] A. Clemm, et al, "Subscription to YANG Datastores",
draft-ietf-netconf-yang-push, work in progress.
[Event-Notification] E. Voit, et al, "Dynamic subscription to YANG
Events and Datastores over NETCONF", draft-ietf-netconf-
netconf-event-notifications, work in progress.
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[PERF] Y. XU, et al., "Use Cases and Requirements of Dynamic Service
Control based on Performance Monitoring in ACTN
Architecture", draft-xu-actn-perf-dynamic-service-control,
work in progress.
[RFC8309] Q. Wu, W. Cheng, and A. Farrel. "Service Models
Explained", RFC 8309, January 2018.
[RFC8453] D. Ceccarelli and Y. Lee (Editors), "Framework for
Abstraction and Control of Traffic Engineered Networks",
RFC 8453, August 2018.
[RFC8570] Ginsberg, L., Ed., Previdi, S., Ed., Giacalone, S., Ward,
D., Drake, J., and Q. Wu, "IS-IS Traffic Engineering (TE)
Metric Extensions", RFC 8570, March 2019.
12. Contributors
Authors' Addresses
Young Lee
Futurewei Technologies
5340 Legacy Drive Suite 173
Plano, TX 75024, USA
Email: younglee.tx@gmail.com
Dhruv Dhody
Huawei Technology
Leela Palace
Bangalore, Karnataka 560008
India
Email: dhruv.dhody@huawei.com
Satish Karunanithi
Huawei Technology
Leela Palace
Bangalore, Karnataka 560008
India
Email: satish.karunanithi@gmail.com
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Ricard Vilalta
Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA)
Av. Carl Friedrich Gauss 7
08860 - Castelldefels
Barcelona (Spain)
Email: ricard.vilalta@cttc.es
Daniel King
Lancaster University
Email: d.king@lancaster.ac.uk
Daniele Ceccarelli
Ericsson
Torshamnsgatan,48
Stockholm, Sweden
Email: daniele.ceccarelli@ericsson.com
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