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Versions: 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 draft-ietf-teas-actn-pm-telemetry-autonomics

TEAS Working Group                                      Y. Lee (Editor)
Internet Draft                                              Dhruv Dhody
Intended Status: Standard Track                      Satish Karunanithi
Expires: October 2, 2019                                         Huawei

                                                         Ricard Vilalta
                                                                   CTTC

                                                            Daniel King
                                                   Lancaster University

                                                     Daniele Ceccarelli
                                                               Ericsson




                                                          April 2, 2019


  YANG models for VN & TE Performance Monitoring Telemetry and Scaling
                           Intent Autonomics

                 draft-lee-teas-actn-pm-telemetry-autonomics-12

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   This Internet-Draft will expire on October 2, 2019.

Copyright Notice


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   Copyright (c) 2019 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
   (http://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 Simplified BSD License text as described in
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   warranty as described in the Simplified BSD License.

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 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..............................................4
      1.3. Prefixes in Data Node Names...............................4
   2. Use-Cases......................................................4
   3. Design of the Data Models......................................6
      3.1. TE KPI Telemetry Model....................................6
      3.2. VN KPI Telemetry Model....................................7
   4. Autonomic Scaling Intent Mechanism.............................8
   5. Notification..................................................10
      5.1. YANG Push Subscription Examples..........................10
   6. YANG Data Tree................................................11
   7. Yang Data Model...............................................13
      7.1. ietf-te-kpi-telemetry model..............................13
      7.2. ietf-vn-kpi-telemetry model..............................18
   8. Security Considerations.......................................21
   9. IANA Considerations...........................................21


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   10. Acknowledgements.............................................22
   11. References...................................................22
      11.1. Informative References..................................22
      11.2. Normative References....................................23
   12. Contributors.................................................24
   Authors' Addresses...............................................24

1. Introduction

   The YANG model discussed in [VN] is used to operate customer-driven
   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 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 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 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
   with the client controller via a NETCONF [RFC8341] or a RESTCONF
   [RFC8040] interface.



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   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.

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-kpi  | 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 CAPEX/OPEX.




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     . Customer services have various SLA requirements, such as
        service availability, latency, latency jitter, packet loss
        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 service 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
   will facilitate proactive re-optimization and reconfiguration of TEs


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   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: 3600 (sec)  (duration for which the
        criteria must hold true)
     . Set Cooldown-time:  60 (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


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   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: 300 mile-seconds

   List 2: Scaling Condition for Utilized bandwidth

     . performance type: Utilized bandwidth
     . threshold-value: 300 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 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 for the
   telemetry information for a particular tunnel (Tunnel1). The
   telemetry parameter that the client is interested in is one-way-
   delay.


   <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">



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                <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 for 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">
             <actn-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-actn-te-kpi-
   telemetry">
                         <one-way-delay/>
                         <one-way-utilized-bandwidth/>
                     </vn-telemetry >
                   </vn-list>
                 </vn>
             </actn-state>
          </filter>
          <period>500</period>
       </establish-subscription>
    </netconf:rpc>


6. YANG Data Tree


module: ietf-te-kpi-telemetry
  augment /te:te/te:tunnels/te:tunnel:


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    +-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:
    +--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


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       +--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
       |  +--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@2019-04-02.yang"

module ietf-te-kpi-telemetry {
  namespace "urn:ietf:params:xml:ns:yang:ietf-te-kpi-telemetry";
  prefix te-tel;

  import ietf-te {
    prefix te;
  }
  import ietf-te-types {
    prefix te-types;
  }


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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 telemetry for teas tunnel model";

  revision 2019-04-02 {
    description
      "Initial revision. This YANG file defines
       the reusable base types 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";
  }

  identity two-way-delay {
    base telemetry-param-type;
    description
      "To specify average Delay in both (forward and reverse)
       directions";
  }

  identity one-way-delay-variation {
    base telemetry-param-type;
    description
      "To specify average Delay Variation in one (forward) direction";
  }

  identity two-way-delay-variation {
    base telemetry-param-type;
    description


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      "To specify average Delay Variation in both (forward and reverse)
       directions";
  }

  identity utilized-bandwidth {
    base telemetry-param-type;
    description
      "To specify utilized bandwidth over the specified source
       and destination.";
  }

  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
        "The duration after a scaling-in/scaling-out action has been


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         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
        "telemetry params";


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      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@2019-03-27.yang"

module ietf-vn-kpi-telemetry {
  namespace "urn:ietf:params:xml:ns:yang:ietf-vn-kpi-telemetry";
  prefix actn-tel;

  import ietf-vn {
    prefix vn;
  }
  import ietf-te {
    prefix te;
  }
  import ietf-te-types {
    prefix te-types;
  }
  import ietf-te-kpi-telemetry {
    prefix te-kpi;
  }

  organization
    "IETF Traffic Engineering Architecture and Signaling (TEAS)


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     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 telemetry for actn vn model";

  revision 2019-03-27 {
    description
      "Initial revision. This YANG file defines
       the ACTN 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
      "Operations to analize list of monitored params";
  }


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  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
          "describes the operation to apply to the VN-members";
      }


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    }
  }
  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 configuration, state, and action data defined in this document
   are designed to be accessed via a management protocol with a secure
   transport layer, such as NETCONF [RFC6241].  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.

   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.

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-kpi-telemetry


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   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
   reference:    RFC XXXX (TDB)
   --------------------------------------------------------------------

   --------------------------------------------------------------------
   name:         ietf-vn-kpi-telemetry
   namespace:    urn:ietf:params:xml:ns:yang:ietf-vn-kpi-telemetry
   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. Informative References

   [RFC3688] M. Mealling, "The IETF XML Registry", RFC 3688, January
             2004.

   [RFC7950] M. Bjorklund, Ed., "The YANG 1.1 Data Modeling Language",
             August 2016.

   [RFC6020] M. Bjorklund, Ed., "YANG - A Data Modeling Language for
             the Network Configuration Protocol (NETCONF)", RFC 6020,
             October 2010.

   [RFC8199] D. Bogdanovic, B. Claise, and C. Moberg, "YANG Module
             Classification", RFC 8199, July 2017.


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   [RFC6241] Enns, R., Ed., Bjorklund, M., Ed., Schoenwaelder, J., Ed.,
             and A. Bierman, Ed., "Network Configuration Protocol
             (NETCONF)", RFC 6241.

   [RFC8294] X. Liu, et al, "Routing Area Common YANG Data Types", RFC
             8294, December 2017.

   [RFC7926] A. Farrel (Ed.), "Problem Statement and Architecture for
             Information Exchange between Interconnected Traffic-
             Engineered Networks", RFC 7926, July 2016.

   [RFC8309] Q. Wu, W. Cheng, and A. Farrel. "Service Models
             Explained", RFC 8309, January 2018.

   [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, "Subscription to YANG
             Datastores", draft-ietf-netconf-yang-push, work in
             progress.

   [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.

   [RFC8341] A. Bierman, M. Bjorklund, "Network Configuration Access
             Control Model", RFC 8341, March 2018.

   [RFC8453] D. Ceccarelli and Y. Lee (Editors), "Framework for
             Abstraction and Control of Traffic Engineered Networks",
             RFC 8453, August 2018.



11.2. Normative References



   [TE-Tunnel] T. Saad (Editor), "A YANG Data Model for Traffic
             Engineering Tunnels and Interfaces", draft-ietf-teas-yang-
             te, work in progress.




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   [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.

   [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.

12. Contributors


Authors' Addresses

   Young Lee (Editor)
   Huawei Technologies
   5340 Legacy Drive Suite 173
   Plano, TX 75024, USA

   Email: leeyoung@huawei.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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