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BGP based SRv6 Routing Planes for DC network
draft-hss-srv6ops-srv6-routing-planes-00

Document Type Active Internet-Draft (individual)
Authors Srihari R. Sangli , Shraddha Hegde , Michal Styszynski
Last updated 2026-03-02
Replaces draft-hss-bgp-srv6-routing-planes
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draft-hss-srv6ops-srv6-routing-planes-00
srv6ops                                                        S. Sangli
Internet-Draft                                                  S. Hegde
Intended status: Informational                             M. Styszynski
Expires: 1 September 2026                                            HPE
                                                        28 February 2026

              BGP based SRv6 Routing Planes for DC network
                draft-hss-srv6ops-srv6-routing-planes-00

Abstract

   This document introduces a BGP-based multi-planar routing
   architecture for modern data center networks, with a particular focus
   on environments running AI/ML workloads that demand traffic
   segregation.  The proposed solution enables deterministic routing for
   workloads with characteristics such as collective communication and
   multi-tenancy.  It allows the creation of multiple logical routing
   planes over a shared physical infrastructure by defining planes
   through three key elements: Constraints (e.g., fabric color
   inclusion/exclusion) Calculation types (e.g., shortest path) and
   Metric types (e.g., cost, delay, bandwidth).

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 1 September 2026.

Copyright Notice

   Copyright (c) 2026 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.

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   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  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Requirements Language . . . . . . . . . . . . . . . . . . . .   3
   3.  BGP based Routing Planes  . . . . . . . . . . . . . . . . . .   3
   4.  BGP Routing Planes applied to SRv6 network  . . . . . . . . .   5
     4.1.  BGP Procedures for building SRv6 Based Routing plane  . .   7
   5.  Multi Tenancy . . . . . . . . . . . . . . . . . . . . . . . .   8
   6.  Scaling across multiple data-centers  . . . . . . . . . . . .   9
   7.  Data Plane Considerations . . . . . . . . . . . . . . . . . .  10
   8.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   9.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  11
   10. References  . . . . . . . . . . . . . . . . . . . . . . . . .  11
     10.1.  Normative References . . . . . . . . . . . . . . . . . .  11
     10.2.  Informative References . . . . . . . . . . . . . . . . .  11
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  12

1.  Introduction

   Modern Data Center (DC) networks are typically built using Clos
   topologies, which provide an n-hop path (commonly 3, 5, or 7 hops)
   between ingress and egress with a minimal number of intermediate
   nodes.  This design offers straightforward scalability as traffic
   demands increase.  Several factors influence DC network buildout,
   including traffic characteristics, AI workload requirements, data
   generation rates, user distribution, and the placement of compute,
   storage, and application resources.  DC networks generally operate as
   pure IP fabrics, using the BGP routing paradigm.  Nodes (switches or
   routers) establish single-hop eBGP sessions with their neighbors
   [RFC7938].

   When hosting AI workloads, DC networks are optimized to maximize
   bandwidth usage and handle traffic with low entropy characteristics.
   AI models have grown dramatically, with parameter counts reaching
   billions or even trillions.  This scale requires distributing
   workloads across multiple datacenters, where inter-DC networks must
   support mixed traffic types.  Consequently, AI workloads share the
   same physical infrastructure with other applications such as storage,
   etc., each with distinct bandwidth and latency requirements.

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   Logical routing planes provide strict separation between traffic
   types while leveraging the same physical infrastructure.  This
   ensures predictable performance across different types of
   applications.  BGP is widely deployed in datacenters and often serves
   as the routing protocol for interconnecting regional datacenters
   located within close proximity (e.g., 100–120 km).  While mechanisms
   for logical routing planes have been defined for IGP protocols
   [RFC9350], a comparable capability is required for BGP.

2.  Requirements Language

   The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
   "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
   "OPTIONAL" in this document are to be interpreted as described in BCP
   14 [RFC2119] [RFC8174] when, and only when, they appear in all
   capitals, as shown here.

3.  BGP based Routing Planes

                                      +-----+
      +-------------------------------|     |------------------------------+
      |          +--------------------| Sn  |-----------------+            |
      |          |            +-------|     |------+          |            |
      |          |            |       +-----+      |          |            |
      |          |            |          .         |          |            |
      |          |            |          .         |          |            |
      |          |            |          .         |          |            |
      |          |            |       +-----+      |          |            |
      | +--------^------------^-------|     |------^----------^----------+ |
      | |        | +----------^-------| S2  |------^--------+ |          | |
      | |        | |          | +-----|     |----+ |        | |          | |
      | |        | |          | |     +-----+    | |        | |          | |
      | |        | |          | |                | |        | |          | |
      | |        | |          | |     +-----+    | |        | |          | |
      | | +------^-^----------^-^-----|     |----^-^--------^-^--------+ | |
      | | |      | | +--------^-^-----| S1  |----^-^------+ | |        | | |
      | | |      | | |        | | +---|     |--+ | |      | | |        | | |
      | | |      | | |        | | |   +-----+  | | |      | | |        | | |
     +-----+    +-----+      +-----+          +-----+    +-----+      +-----+
     | L1  |    | L2  | ...  | L4  |          | L5  |    | L6  | ...  | L8  |
     +-----+    +-----+      +-----+          +-----+    +-----+      +-----+
      ||||       ||||         ||||             ||||       ||||          ||||
      OOOO       OOOO         OOOO             OOOO       OOOO          OOOO

      Legend: S: Spine, L: Leaf, O: Compute Server NIC

                  Figure 1: Data Center Clos Network

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   This document proposes a BGP-based multi-planar architecture that
   enables the creation of multiple routing planes within a data center
   fabric.  The key characteristics are as follows:

   * Routing Plane Definition:

   Each routing plane is defined by a set of constraints, a calculation
   type, and a metric type.  These parameters, applied to the physical
   topology of nodes and links, form a logical routing plane.

   * Fabric Colors, Metrics and Calculation-type:

   Physical links can be tagged with Fabric Colors.  Routing planes may
   include or exclude specific colors, and/or be differentiated by
   metric types such as cost, delay, or bandwidth.  The calculation-type
   refers to the consistent way for best path selection that is applied
   within a routing plane.  For example, all routers in a Routing Plane
   apply same criteria expressed via BGP import policy for best path
   computation.

   * Expressing constraints:

   The Routing Plane configuration in conjunction with BGP policy can
   combine multiple characteristics (e.g., exclude a fabric color while
   optimizing for delay) thereby providing flexibility.

   * Pre-Built Configuration:

   Routing planes are provisioned via configuration.  The BGP routing
   protocol builds routes and next-hops according to defined
   constraints.  Application traffic is mapped to one or the other
   routing planes based on application intent.

   * Application Intent Expression:

   Application intent is conveyed using BGP extended color communities,
   which are associated with prefix advertisements.

   * Failure Handling:

   In the event of link or node failures, a routing plane may become
   partitioned.  Traffic can fallback to alternate planes.

   * Policy-Based Control:

   Routing plane definitions are applied as import/export policies in
   BGP advertisements.  Importantly, this framework does not require new
   BGP protocol extensions.

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   Motivated by the deterministic path forwarding mechanism described in
   [I-D.wang-idr-dpf], the approach outlined here provides a generic and
   extensible framework for defining routing planes.  The goal is to
   demonstrate how routing planes can be constructed in SRv6 networks by
   leveraging existing segment routing constructs.

4.  BGP Routing Planes applied to SRv6 network

   The following section describe the BGP Routing Plane solution applied
   to SRv6 networks.

   Figure 1 diagram illustrates a multi-planar data center fabric in
   which nodes L1, L2, and spines S1, S2 belong to the Green routing
   plane, while nodes L5, L6 and spines S3, S4 belong to the Blue
   routing plane.  Servers (e.g., Server1 and Server2) are dual-homed,
   with connections to both planes.

   The requirement is to construct distinct Green and Blue routing
   planes across the fabric.  Routing plane definitions can be
   consistently applied across the network, ensuring that each plane
   enforces its constraints and provides deterministic forwarding paths
   for application traffic.

   Routing Plane Definition:

   To achieve routing planes for the fabric described in Figure 1, the
   Routing plane definition is described below.

   Green routing plane:

   Calculation type: BGP Best path

   Metric Type: standard metric

   Set of constraints: Exclude Blue

   Blue Routing Plane:

   Calculation type: BGP Best path

   Metric Type: standard metric

   Set of constraints: Exclude Green

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   Each node in the fabric is provisioned with SRv6 locators along with
   the corresponding uN and uA SIDs derived from those locators.  Nodes
   that belong to the Green routing plane are additionally configured
   with Green-specific locators, while nodes in the Blue routing plane
   are provisioned with Blue-specific locators.

          SRv6 block for the fabric  2100:db8::/32

         L1 instantiates the SID 2100:db8:0100::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         L2 instantiates the SID 2100:db8:0200::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         L5 instantiates the SID 2100:db8:0500::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         L6 instantiates the SID 2100:db8:0600::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         S1 instantiates the SID 2100:db8:0900::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         S2 instantiates the SID 2100:db8:0a00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         S3 instantiates the SID 2100:db8:0b00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)
         S4 instantiates the SID 2100:db8:0c00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)

    Green Routing Plane:

         L1 instantiates the SID 2100:db8:1100::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Green Routing
   Plane.
         L2 instantiates the SID 2100:db8:1200::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Green Routing
  Plane.
         L5 instantiates the SID 2100:db8:1500::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Green Routing
   Plane.
         L6 instantiates the SID 2100:db8:1600::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)corresponding to Green Routing
   Plane.
         S1 instantiates the SID 2100:db8:1900::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Green Routing
   Plane.
         S2 instantiates the SID 2100:db8:1a00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Green Routing
   Plane.

    Blue Routing Plane:
        L1 instantiates the SID 2100:db8:2100::/48 associated with the uN

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   instruction (End with NEXT-CSID, PSP & USD) corresponding to Blue Routing
   Plane.
         L2 instantiates the SID 2100:db8:2200::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Blue Routing
   Plane.

         L5 instantiates the SID 2100:db8:2500::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD) corresponding to Blue Routing
   Plane.
         L6 instantiates the SID 2100:db8:2600::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)corresponding to Blue Routing
   Plane.
         S3 instantiates the SID 2100:db8:2b00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)corresponding to Blue Routing
   Plane.
         S4 instantiates the SID 2100:db8:2c00::/48 associated with the uN
   instruction (End with NEXT-CSID, PSP & USD)corresponding to Blue Routing
   Plane.

                          Figure 2: SRv6 SID

   The BGP sessions in the Green routing plane are associated with Green
   admin-group [RFC5305] and the BGP sessions in the Blue routing plane
   are associated with Blue admin-group.

4.1.  BGP Procedures for building SRv6 Based Routing plane

   The network is provisioned with initial configurations as described
   in [SRv6-sids].  This configuration is performed once per routing
   plane and does not require modification based on changing traffic
   demands.

   * Locator Advertisements:

   Green locators are advertised as standard IPv6 prefixes (AFI-2, SAFI-
   1) and are tagged with the extended color community [RFC4360]
   corresponding to Green.

   Blue locators are advertised similarly, with the extended color
   community corresponding to Blue.

   * BGP Policy Mapping:

   Each node is configured with BGP policies that map incoming extended
   color communities to the appropriate routing plane.  When a policy
   maps to a routing plane definition, the routing plane’s
   characteristics are applied to the incoming advertisement to
   determine acceptance or rejection.

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   A locator advertisement tagged for the Green plane is accepted only
   if received on a BGP session associated with the Green admin-group.

   Similarly, a locator advertisement tagged for the Blue plane is
   accepted only if received on a BGP session associated with the Blue
   admin-group.

   Once the control plane has been established for multiple routing
   planes, collective communications can leverage the data plane
   mechanisms described in the Section 7 to forward traffic across the
   appropriate planes.  BGP Routing Planes solution builds deterministic
   paths inside a fabric purely based on routing.  It does not require
   any controller based or out-of-band path calculation, path
   provisioning etc.

       collective1 uses Blue routing plane :
              Srv6 encapsulated data packet loadbalanced across L5 & L6:
                  assuming destination prefix is associated with L5/L6
                   2100:db8:2500
                   2100:db8:2600
       collective2 uses Green routing plane
              Srv6 encapsulated data packet loadbalanced across L1 & L2:
                  assuming destination prefix is associated with L1/L2
                   2100:db8:1100
                   2100:db8:1200

             Figure 3: BGP Routing based deterministic paths

5.  Multi Tenancy

   Cloud providers often face the requirement of supporting multiple
   customer AI/ML workloads simultaneously within the same data center.
   To ensure isolation, customer traffic must be carried on separate
   paths, preventing one workload from impacting another.

   This separation can be achieved by constructing source-routed paths
   within the routing planes, using mechanisms described in
   [I-D.filsfils-srv6ops-srv6-ai-backend].  For example:

   A source-routed path for Customer A, Collective Type 1 may be built
   using uA and uN SIDs defined for the Blue routing plane on node S3.

   A source-routed path for Customer B, Collective Type 1 may be built
   using uA and uN SIDs defined for the Blue routing plane on node S4.

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   This approach ensures that each customer’s workload traffic remains
   isolated within its designated routing plane, while still leveraging
   the shared physical infrastructure and this is possible only with
   source based routing.

   Such source routing based solutions MUST require controller or any
   out-of-band mechanisms.  With this, one can learn the fabric network
   topology, the details of the hosts network attachment.  It is also
   very essential to collect the current operational state of the nodes
   and the links etc. for providing input to the soruce based path
   computation.

     Source Routed path for customer A collective1 uses Blue routing plane S3:
                 2100:db8:2b00:2500
     Source Routed path for customer B collective1 uses Blue routing plane S4:
                 2100:db8:2C00:2600
     Source Routed path for customer A collective2 uses Green routing plane S1:
                 2100:db8:1900:2100
     Source Routed path for customer B collective2 uses Green routing plane S2:
                 2100:db8:1a00:2200

                    Figure 4: Source routed paths

6.  Scaling across multiple data-centers

   AI/ML training models continue to grow in size and complexity, often
   requiring deployment across multiple datacenters.  In such scenarios,
   the Data Center Interconnect (DCI) network must be designed to
   optimize for the lowest delay metric, ensuring efficient distribution
   of workloads.

   Operators may deploy either IGP or BGP for DCI routing; in many
   cases, BGP is preferred due to its flexibility and widespread use.
   The mechanism for advertising delay metrics in BGP is defined in
   [I-D.ietf-idr-bgp-generic-metric].  Delay values may be configured
   statically or measured dynamically using protocols such as TWAMP
   [RFC5357].

   To construct a routing plane based on delay:

   * The metric-type in the routing plane definition Section 4 is set to
   delay.

   When multiple BGP advertisements exist for the same prefix, best path
   selection is performed using the delay metric carried in the generic-
   metric attribute.

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   This framework is generic and extensible, allowing operators to
   define multi-planar networks using a variety of metric types (e.g.,
   cost, bandwidth, delay) and constraints, depending on operational
   requirements.

7.  Data Plane Considerations

   Traffic in data center and interconnect networks typically consists
   of two patterns: bandwidth-intensive “elephant flows” and short-lived
   “mice flows.” These traffic patterns exhibit low entropy, and because
   AI computations are highly sensitive to latency, any congestion in
   the network can significantly degrade performance.  Coping with
   congestion requires a combination of strategies: avoidance,
   detection, notification, and reaction.

   * Congestion Avoidance:

   Mechanisms such as strategic traffic segregation via routing planes
   and packet spraying across available links are employed to reduce the
   likelihood of congestion:

   * Congestion Detection and Notification:

   Techniques like Explicit Congestion Notification (ECN) and latency
   measurements can be scoped to individual routing planes.  This allows
   congestion signals to be delivered to the sender with plane-specific
   granularity.

   * Congestion Reaction:

   Within a routing plane, BGP can select multiple paths to a
   destination, designating one or more as primary and others as backup.
   Backup paths can be pre-programmed, enabling traffic to switch at
   millisecond granularity when congestion occurs.

   * Policy Enforcement:

   Routing plane policies can reflect customer intent.  For example,
   links experiencing quality degradation may be excluded, and traffic
   can be redirected to an alternate routing plane designated as backup.

   The traffic can be classified based on DSCP marking to distinguish
   the collectives it belongs to.

8.  IANA Considerations

   TBD

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9.  Acknowledgements

   The authors would like to thank Jeffrey Haas, Zhaohui(Jeffrey) Zhang,
   Kevin Wang and Ron Bonica for their valuable feedback.

10.  References

10.1.  Normative References

   [RFC4271]  Rekhter, Y., Ed., Li, T., Ed., and S. Hares, Ed., "A
              Border Gateway Protocol 4 (BGP-4)", RFC 4271,
              DOI 10.17487/RFC4271, January 2006,
              <https://www.rfc-editor.org/info/rfc4271>.

   [RFC9350]  Psenak, P., Ed., Hegde, S., Filsfils, C., Talaulikar, K.,
              and A. Gulko, "IGP Flexible Algorithm", RFC 9350,
              DOI 10.17487/RFC9350, February 2023,
              <https://www.rfc-editor.org/info/rfc9350>.

10.2.  Informative References

   [I-D.filsfils-srv6ops-srv6-ai-backend]
              Filsfils, C., Martin, C., Pillai, K., Camarillo, P.,
              Abdelsalam, A., Tantsura, J., and K. Patel, "SRv6 for
              Deterministic Path Placement in AI Backends", Work in
              Progress, Internet-Draft, draft-filsfils-srv6ops-srv6-ai-
              backend-02, 18 August 2025,
              <https://datatracker.ietf.org/doc/html/draft-filsfils-
              srv6ops-srv6-ai-backend-02>.

   [I-D.ietf-idr-bgp-generic-metric]
              Sangli, S. R., Hegde, S., Das, R., Decraene, B., Wen, B.,
              Kozak, M., Dong, J., Jalil, L., and K. Talaulikar,
              "Accumulated Metric in NHC attribute", Work in Progress,
              Internet-Draft, draft-ietf-idr-bgp-generic-metric-02, 6
              January 2026, <https://datatracker.ietf.org/doc/html/
              draft-ietf-idr-bgp-generic-metric-02>.

   [I-D.wang-idr-dpf]
              Wang, K., Styszynski, M., Lin, W., Subramaniam, M., Kampa,
              T., and D. Singh, "BGP Deterministic Path Forwarding
              (DPF)", Work in Progress, Internet-Draft, draft-wang-idr-
              dpf-00, 1 December 2025,
              <https://datatracker.ietf.org/doc/html/draft-wang-idr-dpf-
              00>.

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   [RFC2119]  Bradner, S., "Key words for use in RFCs to Indicate
              Requirement Levels", BCP 14, RFC 2119,
              DOI 10.17487/RFC2119, March 1997,
              <https://www.rfc-editor.org/info/rfc2119>.

   [RFC4360]  Sangli, S., Tappan, D., and Y. Rekhter, "BGP Extended
              Communities Attribute", RFC 4360, DOI 10.17487/RFC4360,
              February 2006, <https://www.rfc-editor.org/info/rfc4360>.

   [RFC5305]  Li, T. and H. Smit, "IS-IS Extensions for Traffic
              Engineering", RFC 5305, DOI 10.17487/RFC5305, October
              2008, <https://www.rfc-editor.org/info/rfc5305>.

   [RFC5357]  Hedayat, K., Krzanowski, R., Morton, A., Yum, K., and J.
              Babiarz, "A Two-Way Active Measurement Protocol (TWAMP)",
              RFC 5357, DOI 10.17487/RFC5357, October 2008,
              <https://www.rfc-editor.org/info/rfc5357>.

   [RFC7938]  Lapukhov, P., Premji, A., and J. Mitchell, Ed., "Use of
              BGP for Routing in Large-Scale Data Centers", RFC 7938,
              DOI 10.17487/RFC7938, August 2016,
              <https://www.rfc-editor.org/info/rfc7938>.

   [RFC8174]  Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
              2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
              May 2017, <https://www.rfc-editor.org/info/rfc8174>.

Authors' Addresses

   Srihari Sangli
   HPE
   Mahadevapura
   Bangalore, KA 560048
   India
   Email: srihari.sangli@hpe.com

   Shraddha Hegde
   HPE
   Mahadevapura
   Bangalore, KA 560048
   India
   Email: shraddha.hegde@hpe.com

   Michal Styszynski
   HPE
   France

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   Email: mlstyszynski@juniper.net

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