DetNet                                                          Q. Xiong
Internet-Draft                                           ZTE Corporation
Intended status: Standards Track                                T. Jiang
Expires: 29 August 2025                                     China Mobile
                                                                J. Joung
                                                    Sangmyung University
                                                        25 February 2025


                  Flow Aggregation for Enhanced DetNet
                 draft-xiong-detnet-flow-aggregation-02

Abstract

   This document describes the objectives and requirements of flow
   aggregation in scaling networks.  It proposes a scheme by aggregating
   DetNet flows based on DetNet flow-specific classification in enhanced
   DetNet, and suggests the flow identification of aggregated-class be
   used to indicate the required treatment and forwarding behaviors in
   scaling networks.  Toward the end, the draft discuss how the novel
   flow aggregation scheme could be applied to realize the flow
   aggregation in a 5GS logical DetNet node participating in enhanced
   DetNet.

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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   This Internet-Draft will expire on 29 August 2025.

Copyright Notice

   Copyright (c) 2025 IETF Trust and the persons identified as the
   document authors.  All rights reserved.






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   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
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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     1.1.  Requirements Language . . . . . . . . . . . . . . . . . .   4
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   4
   3.  Objectives & Requirements: Flow Aggregation in Enhanced
           DetNet  . . . . . . . . . . . . . . . . . . . . . . . . .   4
     3.1.  DetNet Services to Aggregated Flows across Domains  . . .   4
     3.2.  Aggregated vs. Fine-grained QoS Provisioning  . . . . . .   5
     3.3.  Scale Down States Maintenance at Transit Nodes  . . . . .   5
   4.  Enhancement Consideration for Flow Aggregation  . . . . . . .   6
     4.1.  Flow Classification . . . . . . . . . . . . . . . . . . .   6
     4.2.  Flow Identification . . . . . . . . . . . . . . . . . . .   7
     4.3.  Flow Coordination . . . . . . . . . . . . . . . . . . . .   7
   5.  Realization of Flow Aggregation for 5GS DetNet  . . . . . . .   8
     5.1.  Realization of 5GS DetNet Service across Domains  . . . .   8
     5.2.  5GS QoS Provisioning: Aggregated vs. Fine-grained . . . .   9
     5.3.  State Maintenance at a 5GS Transit node . . . . . . . . .   9
     5.4.  Flow Classification & Identification at 5GS node  . . . .  10
   6.  Security Considerations . . . . . . . . . . . . . . . . . . .  10
   7.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  10
   8.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  10
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  10
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  10
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  14

1.  Introduction

   The [RFC8655] clearly states that Deterministic Networking (DetNet)
   operates at the IP layer and delivers service which provides
   extremely low data loss rates and bounded latency.  The DetNet
   Quality of Service (QoS) includes the bounded latency indicating the
   minimum and maximum end-to-end latency from source to destination and
   bounded jitter (packet delay variation).

   As per [RFC8655], the DetNet data plane must support the aggregation
   of DetNet flows in order to support larger numbers of DetNet flows
   and improve scalability by reducing the per-hop states.  Without
   aggregation, the considerable state information and the large number



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   of signalling exchanges among individual flows to provision
   deterministic services in scaling networks are unbearable, and the
   per-relay system may limit the scale of DetNet networks.

   The [RFC8938] introduces that the flow aggregation is the ability to
   aggregate individual flows along with their associated resource
   control into a large aggregate.  It is recommended that the DetNet
   flow aggregation be enabled for compatible flows with the same or
   very similar QoS and CoS characteristics via the use of wildcards,
   masks, prefixes, and ranges.  It also suggests the reduction of per-
   hop states help avoid the per DetNet-flow specific state maintenance
   in a transit node.  It further provides arguments on how DetNet
   services might be realized in term of delay bound, delay jitter and
   bandwidth provisioning.  Further, the [RFC8964], has proposed and
   expanded two methods of flow aggregation, one being the aggregation
   via LSP hierarchy and the other to aggregate DetNet flows as a new
   combined DetNet flow.

   In the maturing IETF draft for scaling networks, i.e.,
   [I-D.ietf-detnet-scaling-requirements], an enhanced DetNet should
   support different levels of co-existed applications with different
   SLAs requirements.  From the use cases in [RFC8578] and
   [I-D.zhao-detnet-enhanced-use-cases], DetNet applications differ in
   their network topologies and specific desired behaviors.  Different
   DetNet flows transmit and forward with different QoS behaviors.  It
   should provide fine-grained service provisioning to achieve
   differentiated DetNet QoS.  The DetNet flows with the same level of
   service requirements can be aggregated to receive collective
   treatments and forwarding behaviors.  The DetNet flows can be
   classified and aggregated based on flow-specific characteristics.

   Moreover, the existing aggregation of individual flows may be still
   challenging for network operations.  The aggregated flows still
   requires a large amount of control signaling to establish and
   maintain the states of DetNet flows when there will be large-scale
   deterministic flows over the dynamic network topology in enhanced
   DetNet.  It is required to improve the scalability and forward
   packets at the class-aggregate level, instead of the per-flow or
   flow-aggregate level, for which the flow identification of
   aggregated-class might be adopted to indicate the per-hop behavior
   without the maintenance of excessive states in scaling networks.










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   This document, in the Section 3, describes the objectives &
   requirements of flow aggregation and proposes an aggregation scheme
   for DetNet flows based on DetNet flow-specific classification in
   enhanced DetNet.  The proposal argues that the flow identification of
   an aggregated-class can be used to indicate the required treatment
   and forwarding behaviors in scaling networks.  The Section 5
   discusses the realization of DetNet flow aggregation for 5GS.

1.1.  Requirements Language

   The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
   "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
   document are to be interpreted as described in RFC 2119 [RFC2119].

2.  Terminology

   The terminology is defined as [RFC8655].

3.  Objectives & Requirements: Flow Aggregation in Enhanced DetNet

3.1.  DetNet Services to Aggregated Flows across Domains

   Flow aggregation is recommended in the multi-domain scenario to
   achieve the end-to-end QoS guarantees for aggregated flow(s) that
   span across multiple domains.  As per
   [I-D.ietf-detnet-scaling-requirements], different network
   implementations may be intended for different application domains,
   where there is no additional requirements for the coordination.  As
   defined in [ITU-T Y.2122], the network operating parameters of a flow
   aggregate should be exchanged among different network domains.  As
   shown in Figure 1, the DetNet domain B receiving an aggregated flow
   should identify the flow and get the service requirements such as the
   QoS parameters of the flow aggregate.



  Individual Flows +-----------------+                 +-----------------+
     ------->      |                 |                 |                 |
      ......       | DetNet Domain A | Aggregated Flow | DetNet Domain B |
     ------->      |                 | --------------> |                 |
                   +-----------------+                 +-----------------+


      Figure 1: Aggregating DetNet Flows across Multiple Domains







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3.2.  Aggregated vs. Fine-grained QoS Provisioning

   The draft [I-D.ietf-detnet-scaling-requirements] specifies that
   different levels of applications differ in the SLAs requirements such
   as tight jitter, strict latency, loose latency and so on.  While
   these types of aggregated requirements might bear the coarse-grained
   nature, individual flows demand differentiated DetNet treatments and
   more granular QoS forwarding behaviors.  A DetNet node or domain
   adopting multiple forwarding technologies needs to transmit
   individual flows by aggregating them into a selected treatment
   solution that corresponds to one of some pre-defined per-hop QoS
   behaviors, as shown in Figure 2.  For example, as per
   [I-D.jlg-detnet-5gs], a 5GS as a logical DetNet node requires to
   achieve the service requirements and service levels of the aggregated
   flows, along with the provisioning of fine-grained per-hop behavior
   (PHB) to each individual flow.



                                      DetNet-aware Node/Network
                                     +--------------------------+
             Aggregated-flow 1 ----->|  Per-hop QoS Behavior 1  |
                                     +--------------------------+
             Aggregated-flow 2 ----->|  Per-hop QoS Behavior 2  |
                                     +--------------------------+
                    ...              |           ...            |
                                     +--------------------------+
             Aggregated-flow n ----->|  Per-hop QoS Behavior N  |
                                     +--------------------------+


        Figure 2: Aggregating DetNet flows to corresponding QoS PHBs

3.3.  Scale Down States Maintenance at Transit Nodes

   As per [I-D.ietf-detnet-dataplane-taxonomy], the treatment solutions
   in data plane can be categorized based on performance and functional
   characteristics.  For example, the category of a solution can be
   classified based on the traffic granularity, e.g., flow aggregate vs.
   class level.  The class level is provided to simplify the control and
   accommodate traffic fluctuations by combining flows requiring the
   same or similar levels of service requirements.  The flow aggregation
   based on the class level could further improve the scalability.  As
   per [I-D.ietf-detnet-scaling-requirements], there may be a large
   number of traffic flows in a scaling network, which makes it nearly
   impossible to achieve the flow-specific state identification.  As
   shown in the Figure 3, the flow identification of aggregated-class
   can be used to indicate the required treatment and forwarding



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   behaviors without the need to maintain excessive states at transit
   nodes.


    Individual                Aggregated
      Flows   +-------------+  Flow(s)  +-------------+         +-------------+
     -------> |             |           |             |         |             |
       ...    |DetNet Node A|---------->|DetNet Node B|----->...|DetNet Node N|
     -------> |             |           |             |         |             |
              +-------------+           +-------------+         +-------------+

                               'Bucketed' into
              Large number of                      Fewer number of classes
             Individual Flows ----------------->  consisting of aggregated flows


      Figure 3: Aggregating DetNet Flows to Improve Scalability

   When DetNet flows are aggregated based on service-class level,
   transit nodes provide deterministic services to a flow aggregate and
   go through the per-class scheduling without the burden to maintain
   excessive per-flow states.  Still, a transit node performing
   aggregation should ensure all per-flow service requirements within an
   aggregated class are achieved.  For example, the latency or jitter
   bounds of an aggregated class shall not exceed the corresponding
   metrics of any individual flow that has been bucketed into the class.
   The aggregation based on the class level has data plane and
   controller plane aspects.

4.  Enhancement Consideration for Flow Aggregation

   This document proposes an enhancement for DetNet flow aggregation
   including the functions such as flow classification, flow
   identification and flow coordination.

4.1.  Flow Classification

   The DetNet QoS can be achieved by aggregating flows based on DetNet
   flow-specific traffic classification and providing the traffic-
   forwarding treatment.  The flow classification should consider the
   flow-specific characteristics such as traffic specification and
   service requirements.  For example, the DetNet flows MAY be
   classified based on the service SLAs requirements of applications in
   scaling networks as per [I-D.xiong-detnet-differentiated-detnet-qos].
   And the services can also be classified into tight/loose latency,
   large/small burst, periodic/non-periodic and large/small scale
   services as per [I-D.ietf-detnet-dataplane-taxonomy].  Several
   classes can be predefined to indicate the different levels of



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   applications with SLAs requirements and each class demands
   differentiated QoS behaviors and treatment as well as different
   DetNet capabilities in scaling networks.

   For the controller plane, the service should be provisioned on an
   aggregated-class level.  The resources should be controlled and
   scheduled on a per-class basis and the routes should be established
   to meet the service requirements with the allocated resources.  The
   edge nodes must be able to handle admission control for DetNet flows
   to an aggregated class based on the available resources.  For the
   data plane, when DetNet flows are aggregated to a class, transit
   nodes provide service to the aggregate and not on a per-DetNet-flow
   basis.  And the transit nodes supporting this type of aggregation
   should identify the class of the aggregated flows and ensure that
   individual flows receive the corresponding traffic treatment and
   forwarding behaviour.

4.2.  Flow Identification

   The flow identification is used to identify the aggregated flow and
   to indicate the required treatment and forwarding behaviors.  As
   described in [I-D.ietf-detnet-scaling-requirements], it is required
   to be dynamic and simplified to ensure the aggregated flows have
   compatible DetNet flow-specific QoS characteristics.  For the data
   plane, individual flows may be aggregated for treatment based on
   shared service specification on aggregated-class level which is
   identified by an aggregation class (A-Class).  A transit node should
   provide the class level traffic treatment based on A-Class.  The
   aggregation class information may be used alone or together with
   other metadata to indicate the required queuing and forwarding
   behaviors.  The encoding of the A-Class may reuse the DSCP/TC or
   existing field such as the TC field in A-Label as per [RFC8964].  And
   it also can be encapsulated with the deterministic latency
   information as per [I-D.xiong-detnet-data-fields-edp].

4.3.  Flow Coordination

   In scaling networks, flow aggregations become more prevalent, with
   flows frequently joining and leaving, which may potentially lead to
   accumulated bursts of flows across multiple hops.  Such challenges
   can be mitigated by coordinating packets within aggregated flows such
   as proportional scheduling and interleaving.  Proportional scheduling
   could allocate transmission opportunities based on flow weights,
   ensuring that each flow receives a fair share of network resources.
   Interleaving could achieve micro burst smoothing by rotating the
   transmission of packets across different flows through timed gates as
   described in [I-D.eckert-detnet-flow-interleaving].




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5.  Realization of Flow Aggregation for 5GS DetNet

   The 3GPP in its document [TS.23.501] has defined and standardized how
   a 5G system (5GS) may behave as a logical DetNet node, as well as how
   a 5GS DetNet node may integrate into the IP-domain DetNet as
   described in [RFC8655].  3GPP has realized the functionalities of the
   DetNet forwarding sub-layer.

   As a logical DetNet transit node, a 5GS behaves as a transparent box
   to external DetNet entities.  It can connect to either DetNet end
   systems or full-fledged IP DetNet domain(s) or both.  The 3GPP
   [TS.23.501] has demonstrated a ‘composite’ architecture in that a 5GS
   could act as one or more DetNet nodes upon the integration into the
   IP DetNet domain.  The granularity of determining a 5GS DetNet node
   is per UPF for each network instance, with the corresponding UPF-id
   identified as the 5GS DetNet node-id.

   The 3GPP [TS.23.503] has implicitly specified two types of DetNet
   related traffic parameters.  One type is the higher-level per-
   (logical)-node QoS requirements like the node max-latency, max-loss,
   etc., while the other is more granular settings with which DetNet
   flow attributes and specifications are mapped to the Flow Description
   information.  The DetNet flow specifications could be based on IP-
   tuple information, e.g., including IP address, protocol type, ToS,
   TCP/DUP ports, etc.  The document [I-D.jlg-detnet-5gs] has provided
   more details.

5.1.  Realization of 5GS DetNet Service across Domains

   3GPP has so far standardized the forward sub-layer functionality for
   5GS.  It indicates a 5GS (logical) DetNet node could connect to other
   end systems and/or IP DetNet domains, together to form a holistic
   end-to-end DetNet.  Thanks to the 'composite' architecture of a 5GS
   node, along with the interaction between an CPF:DetNet controller in
   IETF domain and the NF TSCTSF in 3GPP domain [TS.23.501], a 5GS node
   might realize much more advanced DetNet services than a traditional
   IP DetNet transit node.

   In scenarios where the (IETF-domain) CPF:Detnet Controller could well
   divide the DetNet QoS service requirements that are in reality
   associated with an integrated DetNet domain into multiple QoS sub-
   requirements that together form the original end-to-end QoS
   equivalence, a 5GS might be considered as a standalone DetNet
   (sub-)domain with its own DetNet QoS (sub-)requirements that would be
   provisioned from the CPF:DetNet controller.  The 5GS DetNet QoS
   (sub-)requirements serve a portion of the original requirements of
   the integrated DetNet domain.  These together form a scaling network
   to realize the 5GS DetNet service across domains.



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5.2.  5GS QoS Provisioning: Aggregated vs. Fine-grained

   We have explained previously that the 3GPP [TS.23.503] has implicitly
   specified two categories of DetNet related traffic parameters.  One
   type bears the aggregated nature for (5GS DetNet) node-level
   requirements, while the other addresses the more granular DetNet
   flow-level attributes and specifications.  Evidently, with this kind
   of two-hierarchy architecture, a 5GS DetNet node could achieve not
   only the node-level aggregated QoS requirements, but also the more
   fine-grained flow-level QoS provisioning.  This reflects the true
   value of applying our flow aggregation model in scaling networks to
   realizing advanced DetNet services for 5GS.

   Here, we want to point out that the feasibility of applying our flow
   aggregation scheme indeed depends on the hierarchical nature of a 5GS
   DetNet node.  Had the same aggregation scheme been applied to DetNet
   nodes that do not have the similar intrinsic hierarchy, the
   effectiveness could be certainly impaired.

5.3.  State Maintenance at a 5GS Transit node

   The 5GS QoS architecture is roughly comprised of three levels, i.e.,
   the UE, the PDU-session, and the QoS-flow levels.  Technically, a 5GS
   DetNet node is of 'composite' nature with a large number of
   configuration, provisioning, operation and runtime states to
   maintain.  At first glance, this might undermine the state-reduction
   objective via the flow aggregation for a 5GS DetNet transit node.

   Fortunately, the 5GS DetNet work owns intrinsically a couple of
   aspects to handle the challenges:

   First, also as we have mentioned before, a 5GS node behaves as a
   transparent entity participating in the DetNet domain.  Thus, even
   having a significant number of states, this can naturally have the
   5GS DetNet related states remain hidden from the external
   entities(and domains).

   Second, the 3GPP NF TSCTSF exchanges only traffic parameters with the
   IETF CPF:Detnet Controller, but not the states that are maintained
   inside a 5GS DetNet node.  The external DetNet domain does not care
   the inside status of a 5GS, nor can it.










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5.4.  Flow Classification & Identification at 5GS node

   As we have explained so far, the IETF domain CPF:DetNet controller
   provides traffic parameters & specifications to 3GPP NF TSCTSF.
   Thus, the SLA requirements of applications in scaling networks could
   be readily pre-specified in the IETF DetNet CPF, which would then
   apply the flow classification mapping (to aggregated service classes)
   and send them over to a 5GS DetNet node to enforce.  This model can
   also relieve the classification burden of a 5GS node in reality.

   The 5GS has excellent control logics to address flow identification.
   For example, PDRs (Packet Detection Rules), SDF (Service Data Flow)
   filters (e.g., IP-filter, MAC-filter, etc.), etc., are all good tools
   to differentiate flows [TS.23.501].  Further, the 5GS has
   standardized powerful procedures for the establishment & update of
   PDU sessions/QoS flows, which accordingly achieves the flow dynamics
   (e.g., flow joining & leaving a flow-aggregate as manifested
   potentially by a PDU session) [TS.23.502].  Moreover, some QoS
   parameters, e.g., Aggregated Bit Rate (ABR), may stand at different
   levels, including UE-ABR, Session-ABR, flow-ABR, etc., that would
   make the service differentiation & sharing on the aggregated-class
   (A-Class) level feasible.

6.  Security Considerations

   Security considerations for DetNet are covered in the DetNet
   Architecture [RFC8655] and DetNet security considerations [RFC9055].

7.  IANA Considerations

   This document makes no requests for IANA action.

8.  Acknowledgements

   TBA

9.  References

9.1.  Normative References

   [I-D.eckert-detnet-flow-interleaving]
              Eckert, T. T., "Deterministic Networking (DetNet) Data
              Plane - Flow interleaving for scaling detnet data planes
              with minimal end-to-end latency and large number of
              flows.", Work in Progress, Internet-Draft, draft-eckert-
              detnet-flow-interleaving-02, 7 July 2024,
              <https://datatracker.ietf.org/doc/html/draft-eckert-
              detnet-flow-interleaving-02>.



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   [I-D.ietf-detnet-dataplane-taxonomy]
              Joung, J., Geng, X., Peng, S., and T. T. Eckert,
              "Dataplane Enhancement Taxonomy", Work in Progress,
              Internet-Draft, draft-ietf-detnet-dataplane-taxonomy-02,
              20 October 2024, <https://datatracker.ietf.org/doc/html/
              draft-ietf-detnet-dataplane-taxonomy-02>.

   [I-D.ietf-detnet-scaling-requirements]
              Liu, P., Li, Y., Eckert, T. T., Xiong, Q., Ryoo, J.,
              zhushiyin, and X. Geng, "Requirements for Scaling
              Deterministic Networks", Work in Progress, Internet-Draft,
              draft-ietf-detnet-scaling-requirements-07, 20 November
              2024, <https://datatracker.ietf.org/doc/html/draft-ietf-
              detnet-scaling-requirements-07>.

   [I-D.ietf-teas-rfc3272bis]
              Farrel, A., "Overview and Principles of Internet Traffic
              Engineering", Work in Progress, Internet-Draft, draft-
              ietf-teas-rfc3272bis-27, 12 August 2023,
              <https://datatracker.ietf.org/doc/html/draft-ietf-teas-
              rfc3272bis-27>.

   [I-D.jlg-detnet-5gs]
              Jiang, T., Liu, P., and X. Geng, "DetNet YANG Model
              Extension for 5GS as a Logical DetNet Node", Work in
              Progress, Internet-Draft, draft-jlg-detnet-5gs-01, 20
              October 2023, <https://datatracker.ietf.org/doc/html/
              draft-jlg-detnet-5gs-01>.

   [I-D.xiong-detnet-data-fields-edp]
              Xiong, Q., Liu, A., Gandhi, R., and D. Yang, "Data Fields
              for DetNet Enhanced Data Plane", Work in Progress,
              Internet-Draft, draft-xiong-detnet-data-fields-edp-02, 1
              July 2024, <https://datatracker.ietf.org/doc/html/draft-
              xiong-detnet-data-fields-edp-02>.

   [I-D.xiong-detnet-differentiated-detnet-qos]
              Xiong, Q., Zhao, J., Du, Z., Zeng, Q., and C. Liu,
              "Differentiated DetNet QoS for Deterministic Services",
              Work in Progress, Internet-Draft, draft-xiong-detnet-
              differentiated-detnet-qos-01, 27 June 2024,
              <https://datatracker.ietf.org/doc/html/draft-xiong-detnet-
              differentiated-detnet-qos-01>.








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   [I-D.xiong-detnet-enhanced-detnet-gap-analysis]
              Xiong, Q. and A. Liu, "Gap Analysis for Enhanced DetNet",
              Work in Progress, Internet-Draft, draft-xiong-detnet-
              enhanced-detnet-gap-analysis-03, 25 February 2024,
              <https://datatracker.ietf.org/doc/html/draft-xiong-detnet-
              enhanced-detnet-gap-analysis-03>.

   [I-D.xiong-detnet-large-scale-enhancements]
              Xiong, Q., Du, Z., Zhao, J., and D. Yang, "Enhanced DetNet
              Data Plane Framework for Scaling Deterministic Networks",
              Work in Progress, Internet-Draft, draft-xiong-detnet-
              large-scale-enhancements-04, 26 February 2024,
              <https://datatracker.ietf.org/doc/html/draft-xiong-detnet-
              large-scale-enhancements-04>.

   [I-D.zhao-detnet-enhanced-use-cases]
              Zhao, J., Xiong, Q., and Z. Du, "Enhanced Use Cases for
              Scaling Deterministic Networks", Work in Progress,
              Internet-Draft, draft-zhao-detnet-enhanced-use-cases-01,
              18 October 2024, <https://datatracker.ietf.org/doc/html/
              draft-zhao-detnet-enhanced-use-cases-01>.

   [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>.

   [RFC4655]  Farrel, A., Vasseur, J.-P., and J. Ash, "A Path
              Computation Element (PCE)-Based Architecture", RFC 4655,
              DOI 10.17487/RFC4655, August 2006,
              <https://www.rfc-editor.org/info/rfc4655>.

   [RFC4915]  Psenak, P., Mirtorabi, S., Roy, A., Nguyen, L., and P.
              Pillay-Esnault, "Multi-Topology (MT) Routing in OSPF",
              RFC 4915, DOI 10.17487/RFC4915, June 2007,
              <https://www.rfc-editor.org/info/rfc4915>.

   [RFC5120]  Przygienda, T., Shen, N., and N. Sheth, "M-ISIS: Multi
              Topology (MT) Routing in Intermediate System to
              Intermediate Systems (IS-ISs)", RFC 5120,
              DOI 10.17487/RFC5120, February 2008,
              <https://www.rfc-editor.org/info/rfc5120>.

   [RFC5440]  Vasseur, JP., Ed. and JL. Le Roux, Ed., "Path Computation
              Element (PCE) Communication Protocol (PCEP)", RFC 5440,
              DOI 10.17487/RFC5440, March 2009,
              <https://www.rfc-editor.org/info/rfc5440>.




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   [RFC6549]  Lindem, A., Roy, A., and S. Mirtorabi, "OSPFv2 Multi-
              Instance Extensions", RFC 6549, DOI 10.17487/RFC6549,
              March 2012, <https://www.rfc-editor.org/info/rfc6549>.

   [RFC7752]  Gredler, H., Ed., Medved, J., Previdi, S., Farrel, A., and
              S. Ray, "North-Bound Distribution of Link-State and
              Traffic Engineering (TE) Information Using BGP", RFC 7752,
              DOI 10.17487/RFC7752, March 2016,
              <https://www.rfc-editor.org/info/rfc7752>.

   [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>.

   [RFC8231]  Crabbe, E., Minei, I., Medved, J., and R. Varga, "Path
              Computation Element Communication Protocol (PCEP)
              Extensions for Stateful PCE", RFC 8231,
              DOI 10.17487/RFC8231, September 2017,
              <https://www.rfc-editor.org/info/rfc8231>.

   [RFC8233]  Dhody, D., Wu, Q., Manral, V., Ali, Z., and K. Kumaki,
              "Extensions to the Path Computation Element Communication
              Protocol (PCEP) to Compute Service-Aware Label Switched
              Paths (LSPs)", RFC 8233, DOI 10.17487/RFC8233, September
              2017, <https://www.rfc-editor.org/info/rfc8233>.

   [RFC8578]  Grossman, E., Ed., "Deterministic Networking Use Cases",
              RFC 8578, DOI 10.17487/RFC8578, May 2019,
              <https://www.rfc-editor.org/info/rfc8578>.

   [RFC8655]  Finn, N., Thubert, P., Varga, B., and J. Farkas,
              "Deterministic Networking Architecture", RFC 8655,
              DOI 10.17487/RFC8655, October 2019,
              <https://www.rfc-editor.org/info/rfc8655>.

   [RFC8664]  Sivabalan, S., Filsfils, C., Tantsura, J., Henderickx, W.,
              and J. Hardwick, "Path Computation Element Communication
              Protocol (PCEP) Extensions for Segment Routing", RFC 8664,
              DOI 10.17487/RFC8664, December 2019,
              <https://www.rfc-editor.org/info/rfc8664>.

   [RFC8938]  Varga, B., Ed., Farkas, J., Berger, L., Malis, A., and S.
              Bryant, "Deterministic Networking (DetNet) Data Plane
              Framework", RFC 8938, DOI 10.17487/RFC8938, November 2020,
              <https://www.rfc-editor.org/info/rfc8938>.






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   [RFC8964]  Varga, B., Ed., Farkas, J., Berger, L., Malis, A., Bryant,
              S., and J. Korhonen, "Deterministic Networking (DetNet)
              Data Plane: MPLS", RFC 8964, DOI 10.17487/RFC8964, January
              2021, <https://www.rfc-editor.org/info/rfc8964>.

   [RFC9055]  Grossman, E., Ed., Mizrahi, T., and A. Hacker,
              "Deterministic Networking (DetNet) Security
              Considerations", RFC 9055, DOI 10.17487/RFC9055, June
              2021, <https://www.rfc-editor.org/info/rfc9055>.

   [RFC9320]  Finn, N., Le Boudec, J.-Y., Mohammadpour, E., Zhang, J.,
              and B. Varga, "Deterministic Networking (DetNet) Bounded
              Latency", RFC 9320, DOI 10.17487/RFC9320, November 2022,
              <https://www.rfc-editor.org/info/rfc9320>.

   [RFC9357]  Xiong, Q., "Label Switched Path (LSP) Object Flag
              Extension for Stateful PCE", RFC 9357,
              DOI 10.17487/RFC9357, February 2023,
              <https://www.rfc-editor.org/info/rfc9357>.

   [TS.23.501]
              "3GPP TS 23.501 (V19.0.0): System Architecture for the 5G
              System (5GS)",  3GPP TS 23.501, June 2024.

   [TS.23.502]
              "3GPP TS 23.502 (V19.0.0): Procedures for the 5G System
              (5GS)",  3GPP TS 23.502, June 2024.

   [TS.23.503]
              "3GPP TS 23.503 (V19.0.0): Policy and charging control
              framework for the 5G System (5GS); Stage 2",  3GPP TS
              23.503, June 2024.

Authors' Addresses

   Quan Xiong
   ZTE Corporation
   China
   Email: xiong.quan@zte.com.cn


   Tianji Jiang
   China Mobile
   Email: tianjijiang@chinamobile.com


   Jinoo Joung
   Sangmyung University



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   Email: jjoung@smu.ac.kr


















































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