Distributed Mobility Management K. Nguyen-Trung
Internet-Draft N. Tran
Intended status: Informational Y. Kim
Expires: 2 September 2026 Soongsil University
1 March 2026
Service Segmentation Considerations for CATS-MUP
draft-dcn-dmm-cats-mup-service-segmentation-00
Abstract
Service segmentation introduces an emerging deployment paradigm in
which a service is composed of multiple distributed subtasks forming
a service pipeline. This document discusses architectural
considerations for a MUP Sequence Session Transform to support
ordered traversal across multiple subtask instances and to maintain
service continuity during pipeline updates, particularly when
stateful subtasks are involved.
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Copyright (c) 2026 IETF Trust and the persons identified as the
document authors. All rights reserved.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3
3. Architecture Overview . . . . . . . . . . . . . . . . . . . . 3
4. MUP Sequence Session Transform Mechanism . . . . . . . . . . 5
5. Service Continuity for Stateful Service Segmentation . . . . 7
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 9
7. Security Considerations . . . . . . . . . . . . . . . . . . . 9
8. References . . . . . . . . . . . . . . . . . . . . . . . . . 9
8.1. Normative References . . . . . . . . . . . . . . . . . . 9
8.2. Informative References . . . . . . . . . . . . . . . . . 9
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 10
1. Introduction
The document [I-D.draft-dcn-dmm-cats-mup] describes how to integrate
Computing-Aware Traffic Steering (CATS) capabilities into the Mobile
User Plane (MUP) architecture. In that design, when multiple
candidate service instances are deployed at different locations, the
MUP Controller (MUP-C), as the core component of the architecture,
selects the optimal service instance by considering computing and
network information. The MUP-C receives user mobility session
information from the control plane entity and converts such session
information into IPv6 dataplane routing information. Instead of
relying on traditional anchoring mechanisms or intermediate user
plane forwarding nodes, the session is directly mapped into
SRv6-based routing instructions in the underlay network. The Type 2
Session Transformed Route (T2ST) and Type 1 Session Transformed Route
(T1ST) are used to convert session information into SRv6-based
routing paths toward the selected service endpoint. As a result,
traffic steering is realized at the IP routing level without
requiring dedicated anchor or intermediate nodes in the mobile user
plane.
However, emerging 6G applications introduce a new deployment
paradigm, where a service is decomposed into multiple subtasks that
are distributed across different edge locations. These subtasks can
be organized as a sequential service pipeline, where traffic must
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traverse service instances in a predefined sequence, or as a parallel
service pipeline, where traffic is distributed to multiple service
instances and later merged. Such service segmentation scenarios are
discussed in [I-D.draft-dcn-cats-req-service-segmentation].
The existing T1ST and T2ST mechanisms are defined for mapping a
session to a selected service instance, where traffic is steered
toward a specific execution endpoint. While this model is suitable
when a session is directed to one optimal service instance, service
segmentation introduces scenarios in which a sequential service
pipeline spans multiple service instances as part of a single service
execution. In such cases, the session-to-route transformation must
not only select appropriate service instances, but also support
ordered traversal across them and preserve overall service
continuity, particularly when the pipeline includes stateful
subtasks.
The existing CATS-MUP architecture focuses on mapping a session to a
selected service instance. This document discusses scenarios where a
service execution consists of multiple distributed subtasks forming a
pipeline. It discusses extensions to session transformation behavior
to enable ordered traversal across multiple subtask instances and to
support service continuity during pipeline updates, particularly when
stateful subtasks are involved.
2. Terminology
This document uses the terminology defined in
[I-D.draft-dcn-dmm-cats-mup] and
[I-D.draft-dcn-cats-req-service-segmentation].
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].
3. Architecture Overview
This document does not define mechanisms for constructing or
orchestrating service pipelines. Pipeline composition, subtask
placement, and lifecycle management are considered out of scope.
Furthermore, it does not modify or redefine existing SRv6 behavior
definitions and relies on procedures specified in existing SRv6 and
SFC specifications.
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+----------------+
| Mobility |
| Management |
| System |
+----------------+
|
Session Information
|
STR +--------v-------+
+------| CATS-MUP-C |
+--|------| +------+ |----------+
| | | | C-PS | | |
| | +----------------+ | +-----------------+
UE- | v | | C-SMA |
\+---+ +------+ DSD +------+ |-----------------|
UE--|RAN|---| PE |<----------------------| PE |----| Service Site A |
+---+ +------+<-----------\ +------+ | Subtask 1 |
UE-/ |Buffer| \ |Buffer| | Subtask 3 |
+------+ \ +------+ +-----------------+
| \ |
| MUP network \ +------+ +-----------------+
| +-------+ \-----| PE |----| C-SMA |
| | C-NMA | +------+ |-----------------|
| +-------+ |Buffer| | Service Site B |
+------------------------------+------+ | Subtask 1 |
| Subtask 2 |
+-----------------+
Figure 1: Service Segmentation Extensions for CATS-MUP Architecture
Figure 1 illustrates the high-level architecture for supporting
service segmentation in the CATS-MUP environment, where an
application is decomposed into multiple subtasks deployed across
different edge sites. Depending on deployment and execution logic,
these subtasks may form sequential chains or parallel branches,
requiring traffic steering to evolve from single-instance selection
toward pipeline-aware steering across distributed subtasks.
For sequential pipelines, existing Session Transform Routes,
including T1ST and T2ST, require the C-PS to configure traffic
steering independently for each MUP-PE along the execution chain. As
a result, the completion time of the CATS-MUP-C operation increases
proportionally with the number of subtasks composing the pipeline.
The situation becomes more complex when the active pipeline must be
updated or replaced due to mobility events or changing resource
conditions, since multiple steering configurations must be recomputed
and consistently applied across all participating nodes. To address
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this limitation, this document proposes a new Session Transform Route
referred to as the _MUP Sequence Session Transform_, enabling
pipeline-level traffic steering for sequential service execution.
The detailed design is presented in Section 4.
For parallel pipelines, existing T1ST and T2ST mechanisms remain
applicable because traffic distribution and result aggregation can be
handled by split and merge functions. User requests may be
distributed across parallel subtasks, and intermediate results are
combined before delivering the final outcome to the UE. However,
each parallel branch may itself consist of a sequential chain of
subtasks, in which case the same scalability and steering
reconfiguration issues as observed in sequential pipelines arise.
Therefore, the proposed _MUP Sequence Session Transform_ can also be
applied within such branches to enable pipeline-level traffic
steering.
Service segmentation may involve stateful subtasks, making subtask
migration necessary when an existing pipeline no longer satisfies QoS
requirements. Maintaining service continuity during pipeline
transitions requires preventing packet loss while new subtask
instances are activated and traffic steering is updated. One
approach to enabling such transitions is the use of SRv6-based
buffering, which temporarily stores packets during path updates and
releases them once the new execution pipeline becomes operational.
Furthermore, a single subtask type may have multiple instances
deployed across different MEC sites. Selecting an optimal pipeline
based solely on per-instance evaluation may introduce significant
decision overhead as deployment scale increases. To address this
challenge, Service Pipeline Metrics are introduced to evaluate
pipelines as unified entities rather than independent instances,
enabling efficient pipeline selection as described in
[I-D.draft-dcn-cats-req-service-segmentation].
4. MUP Sequence Session Transform Mechanism
The MUP Sequence Session Transform defines how the Mobile User Plane
steers packets across an ordered set of service stages using a single
session transformation operation. Under this mechanism, the
execution sequence of a service pipeline is encoded directly into
packet forwarding behavior at MUP-PE nodes.
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+-----------+ +-----------+
| Subtask 1 | | Subtask 2 |
+-----------+ +-----------+
| |
+-----------+ +-----------+
| SFC Proxy | | SFC Proxy |
+-----------+ +-----------+
^ ^
+----------+ | +----------+ +----------+ | +----------+
|NSH(X,255)| | |Inner Pkt | |NSH(X,254)| | |Inner Pkt |
+----------+ | +----------+ +----------+ | +----------+
|Inner Pkt | | |NSH(X,254)| |Inner Pkt | | |NSH(X,253)|
+----------+ v +----------+ +----------+ v +----------+
+--+ +------+ +--------+ +--------+
|UE|->|RAN PE|---------->|MUP PE 1|------------------>|MUP PE 2|
+--+ +------+ +--------+ +--------+
+-------------+ +-------------+
| SRH | | SRH |
|[0]: MUP PE 2| |[0]: MUP PE 2|
|[1]: MUP PE 1| |[1]: MUP PE 1|
| SL: 2 | | SL: 1 |
+-------------+ +-------------+
| NSH(X,255) | | NSH(X,254) |
+-------------+ +-------------+
| Inner Pkt | | Inner Pkt |
+-------------+ +-------------+
Figure 2: MUP Sequence Session Transform Example
The execution order of a service pipeline is encoded directly into
packet forwarding state. Specifically, the SRv6 segment list carried
in the SRH defines the traversal sequence across MUP-PE nodes, while
service processing context is maintained within the packet using SRv6
Service Function Chaining (SFC) mechanisms, as specified in
[RFC9491]. As illustrated in Figure 2, packets advance along the
pipeline as each MUP-PE processes its local segment and updates the
associated service context.
* The MUP Sequence Session Transform is installed by the CATS-MUP-C
at the ingress MUP-PE located at the RAN side. For UE traffic
matching the corresponding session policy, the ingress MUP-PE
decapsulates the GTP header and re-encapsulates the packet using
SRv6 Service Function Chaining (SFC).
* When traffic is steered according to the SRv6 segment list, each
MUP-PE performs the following processing steps:
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- The MUP-PE processes its local SRv6 SID and removes the outer
SRv6 encapsulation, leaving the NSH and inner packet intact.
- The packet is delivered toward the corresponding subtask
instance. Depending on deployment, the MUP-PE MAY apply a
site-specific encapsulation (such as VXLAN-gre, GRE
[ieee-sfc-over-srv6]) before forwarding the packet to the
service instance.
- If the subtask instance does not support NSH processing, an SFC
proxy MAY be used to terminate or translate the NSH on behalf
of the service function.
- After processing, the packet is returned to the MUP-PE together
with updated service context.
- The MUP-PE re-applies the SRv6 encapsulation, updates SRH
processing state, and forwards the packet toward the next
segment indicated in the remaining SRv6 segment list without
additional control-plane interaction.
* The NSH context header may include service pipeline identifiers,
UE-related attributes, or intermediate processing state, enabling
distributed service functions to coordinate execution and maintain
continuity across the pipeline.
By embedding pipeline progression into dataplane processing, the MUP
Sequence Session Transform enables ordered service execution across
multiple edge locations.
5. Service Continuity for Stateful Service Segmentation
In practical deployments, service segmentation often involves
stateful service instances, where execution state must be preserved
across service instance relocation or pipeline reconfiguration. In
such scenarios, immediate redirection of traffic to a newly selected
service pipeline may result in service disruption if the target
instances are not yet ready to process incoming requests or if state
migration is still in progress.
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For example, consider a sequential service pipeline composed of five
subtasks executed in order. The first four subtasks are stateless,
while the fifth subtask is a stateful application. When the stateful
subtask is migrated due to mobility events or computing resource
degradation, packets processed by the upstream stateless subtasks
(i.e., Subtasks 1 through 4) may reach at the stateful subtask before
migration is completed. As a result, these packets may be dropped or
fail to be processed correctly, leading to wasted computing resources
and unnecessary consumption of network bandwidth.
To preserve service continuity during pipeline transition, this
document considers new use behaviors
[future-SRv6-service-continuity], such as _End.M.GTP6.D.Buffer_, an
extension of the End.M.GTP6.D function, integrated into all MUP
Session Transform Routes. These behaviors enable traffic to be
temporarily held while stateful service instances are being migrated.
* The MUP-C installs MUP Session Transform Routes with buffer
[ieee-access-service-continuity-stateful-service-segmentation] at
the relevant MUP-PEs, inserting a buffer SID as the first segment
in the SRv6 segment list. As a result, packets matching the
session policy are first steered toward the buffer. The buffer
MAY be realized as a dedicated virtual network function (VNF).
* Furthermore, the MUP-C updates the MUP-PE of all subtasks (current
pipeline) so that packets returning from upstream subtask are re-
encapsulated using _SR Policy headend behaviors_ with a new SRH.
The new segment list places the buffer SID as the first segment,
followed by the MUP-PE of the next subtask in the newly selected
service pipeline.
* Once a new optimal service pipeline is determined, incoming
traffic is redirected toward buffer, allowing migration of
multiple stateful subtasks to be performed *in parallel* while
maintaining service continuity. Parallel migration reduces
service disruption time and increases efficiency.
* After migration is completed, the MUP-C triggers buffer release
procedures. Buffered packets are flushed toward the new pipeline,
and the buffer removes its SID from the SRH.
* Following buffer release, MUP-PE are updated so that subsequent
packets bypass the buffer and are steered directly along the new
service pipeline.
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6. IANA Considerations
This memo includes no request to IANA.
7. Security Considerations
TBD
8. References
8.1. Normative References
[I-D.draft-dcn-dmm-cats-mup]
Tran, N., "Computing Aware Traffic Steering Consideration
for Mobile User Plane Architecture", 2026,
.
[I-D.draft-dcn-cats-req-service-segmentation]
Tran, N., "Additional CATS Requirements Consideration for
Service Segmentation-related Use Cases", 2026,
.
[RFC9491] Guichard, J. and J. Tantsura, "Integration of the Network
Service Header (NSH) and Segment Routing for Service
Function Chaining (SFC)", November 2023,
.
8.2. Informative References
[ieee-access-service-segmentation]
Tran, M-N., "Design of 5G Architecture Enhancements for
Supporting Edge Split Computing Service Pipeline", 2025,
.
[ieee-access-service-continuity-stateful-service-segmentation]
Nguyen Trung, K., "Enabling Service Continuity for
Stateful Service Segmentation in Mobile Edge Computing
Toward 6G", 2026,
.
[ieee-sfc-over-srv6]
Nguyen Trung, K., "A Design and Implementation of Service
Function Chaining Over Segment Routing IPv6 Network",
2024, .
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[future-SRv6-service-continuity]
Lemmi, J., "SRv6-Based Edge Service Continuity in 5G
Mobile Networks", 2023,
.
Authors' Addresses
Kiem Nguyen Trung
Soongsil University
369, Sangdo-ro, Dongjak-gu
Seoul
06978
Republic of Korea
Email: kiemnt@dcn.ssu.ac.kr
Minh-Ngoc Tran
Soongsil University
369, Sangdo-ro, Dongjak-gu
Seoul
06978
Republic of Korea
Email: mipearlska1307@dcn.ssu.ac.kr
Younghan Kim
Soongsil University
369, Sangdo-ro, Dongjak-gu
Seoul
06978
Republic of Korea
Phone: +82 10 2691 0904
Email: younghak@ssu.ac.kr
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