



v6ops                                                       R. Pang, Ed.
Internet-Draft                                              J. Zhao, Ed.
Intended status: Standards Track                            China Unicom
Expires: 23 May 2026                                         M. Jin, Ed.
                                                                  Huawei
                                                           S. Zhang, Ed.
                                                            China Unicom
                                                        19 November 2025


            IPv6 Network Deployment Monitoring and Analysis
             draft-pang-v6ops-ipv6-monitoring-deployment-04

Abstract

   This document identifies key operational challenges in large-scale
   IPv6 deployment and proposes an architecture for IPv6 deployment
   monitoring and analysis.  It describes an architectural approach and
   comprehensive metrics to enable end-to-end visibility across network
   infrastructure, cloud services, edge computing, and end-user domains.

Status of This Memo

   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
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   Internet-Drafts are draft documents valid for a maximum of six months
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   This Internet-Draft will expire on 23 May 2026.

Copyright Notice

   Copyright (c) 2025 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
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   Please review these documents carefully, as they describe your rights
   and restrictions with respect to this document.  Code Components



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   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.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     1.1.  Current IPv6 Deployment Status  . . . . . . . . . . . . .   3
     1.2.  Current Approaches to Monitoring IPv6 Deployment  . . . .   3
   2.  Problem Statement . . . . . . . . . . . . . . . . . . . . . .   4
     2.1.  Fragmented Monitoring Coverage  . . . . . . . . . . . . .   4
     2.2.  Single-Dimensional Evaluation . . . . . . . . . . . . . .   4
     2.3.  Lack of Cross-Domain Correlation  . . . . . . . . . . . .   4
     2.4.  Insufficient In-Depth Analysis  . . . . . . . . . . . . .   4
     2.5.  Limited Dynamic Prediction  . . . . . . . . . . . . . . .   4
   3.  IPv6 Network End-to-End Monitoring and Analysis
           Architecture  . . . . . . . . . . . . . . . . . . . . . .   4
     3.1.  Architectural Principles  . . . . . . . . . . . . . . . .   4
     3.2.  Architecture Components . . . . . . . . . . . . . . . . .   5
       3.2.1.  Data Collection Layer . . . . . . . . . . . . . . . .   6
       3.2.2.  Intelligent Analysis Layer  . . . . . . . . . . . . .   6
       3.2.3.  Visualization Layer . . . . . . . . . . . . . . . . .   7
       3.2.4.  Indicator System  . . . . . . . . . . . . . . . . . .   8
   4.  Implementation Considerations . . . . . . . . . . . . . . . .   9
     4.1.  Phased Deployment Strategy  . . . . . . . . . . . . . . .   9
     4.2.  Organizational Collaboration Model  . . . . . . . . . . .   9
     4.3.  Technical Selection Recommendations . . . . . . . . . . .   9
   5.  Security Considerations . . . . . . . . . . . . . . . . . . .  10
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   7.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  10
     7.1.  Normative References  . . . . . . . . . . . . . . . . . .  10
     7.2.  Informative References  . . . . . . . . . . . . . . . . .  10
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  10

1.  Introduction

   The emergence of IPv6 can be traced back to the 1990s, when the
   development of IPv6 was initiated by the Internet Engineering Task
   Force (IETF) to solve the problem of IPv4 address exhaustion.  In
   1998, the IPv6 protocol specification was published.  As IPv6
   adoption has been accelerating over the past years, the IPv6 protocol
   was elevated to an Internet Standard status [RFC8200] in 2017.









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1.1.  Current IPv6 Deployment Status

   The deployment of IPv6 has become a core driving force for network
   development.  With the continuous expansion of network scale and the
   emergence of new applications, the extensive address space, enhanced
   security, and improved network performance of IPv6 have made it a key
   element in network evolution.  How to better deploy and promote IPv6
   networks has become a widely concerned issue.

   As of 2023, significant strides have been made in the global
   deployment of IPv6.  According to the statistics from the 'Global
   IPv6 Development Report 2024', in 2023 the deployment of IPv6
   networks significantly accelerated, breaking through the 30% mark in
   global coverage for the first time.  Among leading countries, the
   IPv6 coverage rate has reached or approached 70%, and the percentage
   of IPv6 mobile traffic has surpassed that of IPv4.

   [RFC9386] presents the state of IPv6 network deployment in 2022, and
   its Section 5 lists common challenges, such as transition mechanisms,
   network management and operation, performance, and customer
   experience.  'ETSI-GR-IPE-001' also discusses the existing gaps in
   IPv6-related use cases.

1.2.  Current Approaches to Monitoring IPv6 Deployment

   Several tools and platforms monitor IPv6 deployment, such as:

   *  Internet Society Pulse: Curating information about levels of IPv6
      adoption in countries and networks around the world.

   *  Akamai IPv6 Adoption Visualization: Reviewing IPv6 adoption trends
      at a country or network level.

   *  APNIC IPv6 Measurement: Providing an interactive map that users
      can click on to see the IPv6 deployment rate in a particular
      country.

   *  Cloudflare IPv6 Adoption Trends: Offering insights into IPv6
      adoption across the Internet.

   *  Cisco 6lab IPv6: Displaying IPv6 prefix data.

   *  Regional or National Monitoring Platforms: Examples include the NZ
      IPv6, the RIPE NCC IPv6 Statistics, and the USG IPv6 & DNSSEC
      External Service Deployment Status, among others.

   While valuable for high-level trend analysis, these tools exhibit
   significant limitations for operational purposes.



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2.  Problem Statement

2.1.  Fragmented Monitoring Coverage

   Monitoring points are predominantly concentrated in backbone networks
   [RFC7707], lacking fine-grained visibility into user terminals,
   access networks, and application endpoints.

2.2.  Single-Dimensional Evaluation

   Assessments primarily rely on basic metrics like connection
   availability [RFC9099] and address allocation rates, lacking a
   holistic view of service continuity, transmission quality, network
   element readiness, and active connection states.

2.3.  Lack of Cross-Domain Correlation

   Data silos exist between different network domains (e.g., fixed,
   mobile, core, application), preventing end-to-end path analysis and
   fault correlation [RFC9312].

2.4.  Insufficient In-Depth Analysis

   Incomplete IPv6 transformation in applications and content delivery
   chains (e.g., secondary/tertiary links, multimedia content) remains
   difficult to detect, as deep monitoring capabilities for these
   scenarios are lacking.

2.5.  Limited Dynamic Prediction

   Current models struggle to quantify the impact of external factors
   (e.g., policy changes, user behavior, market dynamics) on IPv6
   evolution, limiting proactive planning.

3.  IPv6 Network End-to-End Monitoring and Analysis Architecture

   To overcome the above challenges, the document describes an
   architecture for IPv6 network end-to-end monitoring and analysis.
   The architecture is designed to provide comprehensive visibility into
   IPv6 deployment while maintaining interoperability and scalability.

3.1.  Architectural Principles

   The monitoring framework is designed around the following key
   principles:






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   *  Standardized Data Models: Implement standardized data models
      (e.g., YANG) for consistent data representation across domains to
      ensure interoperability.

   *  Modular Design: Deploy discrete functional components with well-
      defined interfaces to support incremental implementation.

   *  Cross-Domain Correlation: Enable end-to-end visibility through
      integrated data analysis across network administrative domains.

   *  Service-Oriented metrics: A comprehensive indicator system aligned
      with business objectives.

   *  Visualized tools: Dashboards and visual tools to support key
      operational decisions.

   *  Extensibility: Support integration with existing monitoring
      infrastructure while allowing for future enhancements.

3.2.  Architecture Components

   The architecture comprises three layers as shown in Figure 1: the
   Data Collection Layer, the Intelligent Analysis Layer, and the
   Visualization Layer.

   +---------------------------------------------------------------+
   |                    Visualization Layer                        |
   +---------------------------------------------------------------+
                                   |
   +---------------------------------------------------------------+
   |                   Intelligent Analysis Layer                  |
   |  +--------------------+  +--------------------+ +-----------+ |
   |  | Traffic Correlation|  | Dynamic Attribution| | Quality   | |
   |  | Analysis           |  | Analysis           | | Analysis  | |
   |  +--------------------+  +--------------------+ +-----------+ |
   +---------------------------------------------------------------+
                                   |
   +---------------------------------------------------------------+
   |                     Data Collection Layer                     |
   |  +-------------+  +-------------+  +-------------+  +-------+ |
   |  | Home        |  | Mobile      |  | IP Bearer   |  | App   | |
   |  | Broadband   |  | Network     |  | Network     |  | Domain| |
   |  | Network     |  |             |  |             |  |       | |
   |  +-------------+  +-------------+  +-------------+  +-------+ |
   +---------------------------------------------------------------+

         Figure 1: IPv6 Network End-to-End Monitoring and Analysis
                                Architecture



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3.2.1.  Data Collection Layer

   Defines unified interface standards to integrate multi-source data
   from home broadband network, mobile network, IP bearer network and
   application.  The framework is designed to integrate with multi-
   vendor devices and subsystems.

   Implementations are encouraged to leverage existing IETF standards
   for data collection where available.

   *  Integration with existing network management systems can provide
      daily-level monitoring data through standardized interfaces.

   *  Adopt established standardized data collection mechanisms (such as
      Telemetry, NETCONF/YANG, etc.) to ensure uniformity of data
      formats to meet second-level/minute-level traffic monitoring
      requirements.

3.2.2.  Intelligent Analysis Layer

   The Intelligent Analysis Layer processes the traffic data collected
   from the four major professional domains.  By employing multi-
   dimensional traffic analysis models and a set of key indicators, it
   enables granular insights and facilitates cross-domain root cause
   diagnosis.  This layer also supports certain AI-based model
   extensions.

3.2.2.1.  Multi-domain Traffic Correlation Analysis

   *  Network traffic analysis: Supports collection of IPv6/IPv4 inbound
      and outbound traffic at key network nodes.  Analyze traffic change
      trends.

   *  User Side traffic analysis: Monitors devices and access networks
      on the user side (including fixed and mobile networks), supporting
      IPv6 capability monitoring for home optical network terminals
      (ONTs), connected routers, end-user devices, and access networks.

   *  Application traffic analysis: Supports collection and analysis of
      IPv6/IPv4 active applications on the application side.  Calculates
      IPv6 traffic data for different service applications.

   *  Inter-network traffic analysis: Constructs region-application
      matrices to analyze cross-operator paths and identify regional
      bottlenecks.






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3.2.2.2.  Dynamic traffic attribution

   Based on network traffic analysis results from each professional
   domain, this component identifies regions with high IPv4 legacy
   traffic.  Using multi-domain traffic correlation analysis results, it
   attributes traffic fluctuations to specific subsystems.

   Optionally, solutions for issues in subsystems can be implemented by
   combining with other mechanisms such as Happy Eyeballs.

3.2.2.3.  Traffic Quality Analysis

   *  User-level Topology Reconstruction: Models service chains to
      reconstruct end-to-end topologies, enabling segmented diagnosis of
      latency/packet loss (e.g., home terminal, access network,
      application segments).

   *  Deterioration Localization: Compares IPv4/IPv6 performance
      segment-by-segment to pinpoint degraded network elements.

   *  IPv6 Application Access Quality Assessment: Evaluates key
      performance indicators of application systems in IPv6 environments
      from a network performance perspective, including response time,
      connection success rate, and data transmission rate.

3.2.3.  Visualization Layer

   The visualization layer presents analyzed data through operational
   interfaces designed to support network management decisions.

   Key presentation capabilities include:

   *  Unified Operational Dashboard: Presents a overview of key IPv6
      deployment metrics and ecosystem trends through real-time summary
      cards, charts, graphs, and other visual elements.

   *  Cross-Domain Topology Views: Renders interactive topology maps for
      each professional network domain, visually representing the state
      of IPv6-enabled resources, their connections, and operational
      status based on data from the analysis layer.

   *  Multi-Dimensional Data Exploration: Provides various chart-based
      views (e.g., traffic distribution graphs, quality trend lines,
      comparative application support charts, etc.) that allow operators
      to filter and examine the indicator data by dimensions such as
      time, region, service type, and more.





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   *  Fault and Status Visualization: Translates root cause analysis
      results from the underlying layer into visual cues on dashboards
      and topology maps, such as color-coded node alerts, geographic
      heat maps, and other indicators, to accelerate problem recognition
      and navigation to relevant details.

3.2.4.  Indicator System

   A comprehensive indicator system for IPv6 support monitoring and
   analysis includes the following categories:

   *  Readiness Indicators

      -  Network Element Readiness: IPv6 Readiness of Network Equipment,
         End-user Devices, and Security Devices.

      -  Application Readiness: IPv6 Support Rate of Website
         Applications and Business Systems.

      -  Infrastructure Readiness: IPv6 Readiness of Fixed Internet,
         Mobile Internet, Dedicated Lines, and Data Center Network (DCN)
         Infrastructure.

      -  Network Readiness:

         o  IPv6 Network Coverage of Backbone Networks, Metropolitan
            Area Networks (MANs), Internet Data Centers (IDCs), and
            Dedicated Lines.

         o  End-to-End IPv6 Network Performance of Backbone Networks,
            Metropolitan Area Networks (MANs), Internet Data Centers
            (IDCs), Dedicated Lines, and Access Networks.

      -  Cloud Readiness: IPv6 Readiness of Content Delivery Networks
         (CDNs), Cloud Services, Cloud Platforms, and DNS Servers.

   *  Operational Metrics

      -  IPv6 Traffic: IPv6 Traffic Share in Cross-Border, Inter-Domain,
         Intra-Domain, Fixed Metropolitan Area Networks (MANs), Mobile
         Core Networks, Internet Data Centers (IDCs), Dedicated Lines,
         and Applications.

      -  Active IPv6 Connections: Active IPv6 Connection Share in Fixed
         Metropolitan Area Networks (MANs), Mobile Core Networks,
         Internet Data Centers (IDCs), Dedicated Lines, and
         Applications.




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   *  Quality Metrics

      -  DNS Resolution Performance

      -  End-to-End Latency

      -  Packet Loss Ratio

   *  Policy Compliance Indicators

4.  Implementation Considerations

   This practice has been deployed in operational networks, leading to
   measurable improvements in IPv6 deployment.  Based on deployment
   experience in major operator networks, we summarize the following key
   implementation recommendations:

4.1.  Phased Deployment Strategy

   1.  Phase 1: Prioritize monitoring of key nodes in the core and metro
       networks to quickly obtain basic IPv6 traffic visibility.

   2.  Phase 2: Extend to user-side terminal data collection and
       application-side active probing to establish end-to-end
       monitoring capabilities.

   3.  Phase 3: Enhance intelligent analysis models to achieve automated
       root cause localization and predictive analytics.

4.2.  Organizational Collaboration Model

   *  Establish cross-departmental (fixed, mobile, IP bearer,
      application, etc.) joint teams to ensure data sharing and process
      integration.

   *  Define data management responsibility for each domain and
      establish data quality governance mechanisms.

4.3.  Technical Selection Recommendations

   *  Prioritize network devices supporting standard interfaces (e.g.,
      NETCONF/YANG, Telemetry) to reduce integration complexity.

   *  Adopt modular architecture design to facilitate future function
      expansion and multi-vendor device access.






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5.  Security Considerations

   Implementations are expected to provide: * Role-based access control.
   * Anonymization of user-specific data. * Secure data transmission
   protocols. * Integrity verification for collected metrics.

6.  IANA Considerations

   This document has no IANA actions.

7.  References

7.1.  Normative References

   [RFC8200]  Deering, S. and R. Hinden, "Internet Protocol, Version 6
              (IPv6) Specification", STD 86, RFC 8200,
              DOI 10.17487/RFC8200, July 2017,
              <https://www.rfc-editor.org/info/rfc8200>.

7.2.  Informative References

   [RFC7707]  Gont, F. and T. Chown, "Network Reconnaissance in IPv6
              Networks", RFC 7707, DOI 10.17487/RFC7707, March 2016,
              <https://www.rfc-editor.org/info/rfc7707>.

   [RFC9099]  Vyncke, É., Chittimaneni, K., Kaeo, M., and E. Rey,
              "Operational Security Considerations for IPv6 Networks",
              RFC 9099, DOI 10.17487/RFC9099, August 2021,
              <https://www.rfc-editor.org/info/rfc9099>.

   [RFC9312]  Kühlewind, M. and B. Trammell, "Manageability of the QUIC
              Transport Protocol", RFC 9312, DOI 10.17487/RFC9312,
              September 2022, <https://www.rfc-editor.org/info/rfc9312>.

   [RFC9386]  Fioccola, G., Volpato, P., Palet Martinez, J., Mishra, G.,
              and C. Xie, "IPv6 Deployment Status", RFC 9386,
              DOI 10.17487/RFC9386, April 2023,
              <https://www.rfc-editor.org/info/rfc9386>.

Authors' Addresses

   Ran Pang (editor)
   China Unicom
   Beijing
   China
   Email: pangran@chinaunicom.cn





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   Jing Zhao (editor)
   China Unicom
   Beijing
   China
   Email: zhaoj501@chinaunicom.cn


   Mingshuang Jin (editor)
   Huawei
   Beijing
   China
   Email: jinmingshuang@huawei.com


   Shuai Zhang (editor)
   China Unicom
   Beijing
   China
   Email: zhangs366@chinaunicom.cn
































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