



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


            IPv6 Network Deployment Monitoring and Analysis
             draft-pang-v6ops-ipv6-monitoring-deployment-03

Abstract

   This document identifies key operational challenges in large-scale
   IPv6 deployment and proposes a set of proven, integrated monitoring
   and analysis frameworks to address them.  By establishing a
   standardized architecture and a comprehensive evaluation index
   system, it enables end-to-end visibility across cloud, network, edge,
   and end systems.  This document provides complete operational
   guidance from data collection and cross-domain correlation to
   intelligent analysis and bottleneck identification, offering
   executable solutions for operators to accelerate IPv6 deployment.
   The described best practices have been validated in the live networks
   of major operators, achieving significant improvements in IPv6
   traffic.

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
   Task Force (IETF).  Note that other groups may also distribute
   working documents as Internet-Drafts.  The list of current Internet-
   Drafts is at https://datatracker.ietf.org/drafts/current/.

   Internet-Drafts are draft documents valid for a maximum of six months
   and may be updated, replaced, or obsoleted by other documents at any
   time.  It is inappropriate to use Internet-Drafts as reference
   material or to cite them other than as "work in progress."

   This Internet-Draft will expire on 23 April 2026.







Pang, et al.              Expires 23 April 2026                 [Page 1]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


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
   Provisions Relating to IETF Documents (https://trustee.ietf.org/
   license-info) in effect on the date of publication of this document.
   Please review these documents carefully, as they describe your rights
   and restrictions with respect to this document.  Code Components
   extracted from this document must include Revised BSD License text as
   described in Section 4.e of the Trust Legal Provisions and are
   provided without warranty as described in the Revised BSD License.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
     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.  Framework for IPv6 Deployment Monitoring Analysis . . . . . .   5
     3.1.  IPv6 Network End-to-End Monitoring and Analysis System
           Architecture  . . . . . . . . . . . . . . . . . . . . . .   5
       3.1.1.  Data Collection Layer . . . . . . . . . . . . . . . .   6
       3.1.2.  Intelligent Analysis Layer  . . . . . . . . . . . . .   6
       3.1.3.  Visualization Layer . . . . . . . . . . . . . . . . .   7
     3.2.  Indicator System  . . . . . . . . . . . . . . . . . . . .   7
   4.  Scenario-Based Capability Examples  . . . . . . . . . . . . .   8
     4.1.  IPv6 Monitoring and Analysis on the User Side . . . . . .   8
     4.2.  IPv6 Support and Application Access Quality Monitoring for
           Application Systems . . . . . . . . . . . . . . . . . . .   8
   5.  Use cases . . . . . . . . . . . . . . . . . . . . . . . . . .   8
     5.1.  User Network Quality Issue Localization . . . . . . . . .   9
     5.2.  Home terminals and routers Traffic Analysis . . . . . . .   9
   6.  Implementation Considerations . . . . . . . . . . . . . . . .  10
     6.1.  Phased Deployment Strategy  . . . . . . . . . . . . . . .  10
     6.2.  Organizational Collaboration Model  . . . . . . . . . . .  10
     6.3.  Technical Selection Recommendations . . . . . . . . . . .  10
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  10
   8.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  11
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  11
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  11
     9.2.  Informative References  . . . . . . . . . . . . . . . . .  11



Pang, et al.              Expires 23 April 2026                 [Page 2]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  11

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.  AAs IPv6
   adoption has been accelerating over the past years, the IPv6 protocol
   was elevated to be an Internet Standard status [RFC8200] in 2017.

1.1.  Current IPv6 Deployment Status

   In today's digital age, 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.




Pang, et al.              Expires 23 April 2026                 [Page 3]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


   *  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.

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 private 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.






Pang, et al.              Expires 23 April 2026                 [Page 4]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


3.  Framework for IPv6 Deployment Monitoring Analysis

   This framework is designed to overcome the above challenges through
   the following core principles:

   *  Unified Data Collection: Standardized interfaces for cross-domain
      data ingestion.

   *  Correlation analysis: Integrated data fusion and cross-domain
      analytics.

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

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

   *  Extensibility: Leverages existing monitoring infrastructure and
      supports integration with external systems.

3.1.  IPv6 Network End-to-End Monitoring and Analysis System
      Architecture

   The system architecture is divided into three layers from top to
   bottom (shown in Figure 1): the Data Collection Layer, the
   Intelligent Analysis Layer, and the Visualization Layer.

+==================================================================+
|                         Visualization Layer                      |
+==================================================================+
        |                |                |                |
+==================================================================+
|                     Intelligent Analysis Layer                   |
+==================================================================+
        |                |                |                |
+==================================================================+
|                       Data Collection Layer                      |
+==================================================================+
        |                |                |                |
+----------------+  +----------------+  +----------------+  +----------------+
| Home Broadband |  |    Mobile      |  |   IP Bearer    |  |   Application  |
|    Network     |  |    Network     |  |    Network     |  |                |
+----------------+  +----------------+  +----------------+  +----------------+

   Figure 1: IPv6 Network End to End Monitoring and Analysis System






Pang, et al.              Expires 23 April 2026                 [Page 5]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


3.1.1.  Data Collection Layer

   Defines unified interface standards to integrate multi-source data
   from user, network, and application sides, ensuring compatibility
   with multi-vendor devices and subsystems.

   Data collection relies on the existing technical system.  The
   specific methods are:

   *  Adopt the established standardized data collection mechanism to
      ensure the uniformity of data formats.

   *  Access the existing network management systems of each
      professional network, and realize automatic collection and
      synchronization of indicator data through interface docking.

3.1.2.  Intelligent Analysis Layer

   Develops multi-dimensional traffic analysis models to enable granular
   insights and cross-domain root cause diagnosis.

3.1.2.1.  Multi-domain Traffic Correlation Analysis

   *  Multi-domain Traffic Correlation

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

      -  Application traffic analysis: Supports collection and analysis
         of IPv6/IPv4 active applications on the user side and
         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.

   *  Dynamic traffic attribution

      -  Identifies traffic-constrained areas, formulates multi-
         dimensional investigation plans (network, user, application),
         and attributes traffic fluctuations to specific subsystems.








Pang, et al.              Expires 23 April 2026                 [Page 6]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


3.1.2.2.  Quality Deterioration Delimitation and Topology Restoration

   *  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).

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

3.1.3.  Visualization Layer

   Provides indicator-based presentation and decision support.

3.1.3.1.  Indicator-Based Presentation

   Monitors and analyzes IPv6 support across domains, decomposing
   metrics by business and network segment.

3.1.3.2.  Decision Support

3.2.  Indicator System

   Based on a standardized indicator system, conduct IPv6 support
   monitoring and analysis for each professional domain, breaking down
   monitoring metrics into specific services and network segments.

   *  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, Private 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
            Private Lines.






Pang, et al.              Expires 23 April 2026                 [Page 7]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


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

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

   *  Quality Metrics

      -  DNS Resolution Performance

      -  End-to-End Latency

      -  Packet Loss Ratio

   *  Policy Compliance Indicators

4.  Scenario-Based Capability Examples

4.1.  IPv6 Monitoring and Analysis on the User Side

   Monitor and analyze data from fixed and mobile network user sides,
   including: IPv6 support monitoring and IPv6 traffic quality analysis.
   Support end-to-end data analysis at the intelligent analysis layer.

4.2.  IPv6 Support and Application Access Quality Monitoring for
      Application Systems

   Through application monitoring points, monitor and analyze the IPv6
   support of application systems, including: website and APP
   monitoring, IPv6 application access quality evaluation, and DNS
   resolution capability monitoring.

   TBD.

5.  Use cases




Pang, et al.              Expires 23 April 2026                 [Page 8]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


5.1.  User Network Quality Issue Localization

   *  Scenario: User A experiences lag during cloud gaming at home.

   *  Challenge: Isolating the cause requires correlating performance
      data across multiple segments (N1: terminal to ONT; N2: ONT to
      BRAS; N3: BRAS to application), but domains are independently
      managed.

+-----------------+        +--------------+        +----------------+        +--------------+
| Terminal device |--------|     ONT      |--------|      BRAS      |--------|     APP      |
+-----------------+        +--------------+        +----------------+        +--------------+
        |                          |                         |                         |
        |<--------- N1 ----------> |                         |                         |
        |                          |<--------- N2 ---------->|                         |
        |                          |                         |<--------- N3 ---------->|

     Figure 2: Network schematic diagram based on home broadband
                      network access application

   *  Solution: The system detected end-to-end quality degradation.
      Using segmented analysis, it pinpointed abnormal latency in the N3
      segment.  Correlation with CDN logs revealed a content source
      switch from a local IDC to a remote cross-province node.

   *  Conclusion: Quality degradation was caused by CDN remote
      scheduling and N3 inter-network link congestion.

   *  Action: Adjusting CDN scheduling strategy resolved the issue.

   *  Effectiveness: This approach reduced the average fault
      localization time for similar issues from hours to minutes.

5.2.  Home terminals and routers Traffic Analysis

   *  Solution: The System detected below-average IPv6 traffic share in
      a demo community.

   *  Investigation: Correlation with terminal data showed a high
      proportion of bridge-mode optical network terminals (ONTs) and
      older routers supporting only IPv4/NAT.

   *  Root Cause: Legacy routers forced IPv6 traffic to fall back to
      IPv4.

   *  Action: Targeted replacement of bridge-mode ONTs with router-mode
      ONTs and upgrading old routers.




Pang, et al.              Expires 23 April 2026                 [Page 9]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


   *  Effectiveness: After implementation, the community's IPv6 traffic
      share increased from 15% to 45% within two weeks.

6.  Implementation Considerations

   Based on deployment experience in major operator networks, we
   summarize the following key implementation recommendations:

6.1.  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.

6.2.  Organizational Collaboration Model

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

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

6.3.  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.

7.  Security Considerations

   The monitoring system must implement:

   *  Role-based access control.

   *  Anonymization of user-specific data.

   *  Secure data transmission protocols.

   *  Integrity verification for collected metrics.




Pang, et al.              Expires 23 April 2026                [Page 10]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


8.  IANA Considerations

   TBD.

9.  References

9.1.  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>.

9.2.  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


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




Pang, et al.              Expires 23 April 2026                [Page 11]

Internet-Draft     IPv6 Network Monitoring Deployment       October 2025


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


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







































Pang, et al.              Expires 23 April 2026                [Page 12]
