A Capability Broker for Workflow-Network QoS Coordination in B5G/6G Industrial Services

📅 2026-08-25
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文针对B5G/6G工业服务中多阶段工作流与网络QoS协调缺失的问题,提出了一种能力代理方法以管理QoS承诺并保证一致性。
📝 Abstract
Industrial services in beyond-fifth-generation (B5G) and sixth-generation (6G) networks are increasingly executed as multi-phase workflows whose quality-of-service (QoS) demands change across ordered phases. Existing exposure, analytics, and policy-control functions can provide capability information and enforce QoS treatment, but they do not track the admitted QoS agreement between a workflow and the network. This paper studies this missing coordination function in the software control plane. We propose a Capability Broker that represents each admitted trajectory as a lifecycle-managed QoS commitment, including the workflow demand, network capability, validity time, and enforcement state. The Broker operates above existing exposure and policy-control interfaces and enforces capability freshness, duplicate-safe admission, legal state transitions, per-commitment event ordering, recovery routing, and Broker--network state consistency. Prototype results with microbenchmarks, fault injection, ablation, and controlled message loss show that the full Broker preserves commitment consistency with microsecond-level local processing overhead, while removing individual Broker functions exposes duplicate commitments, stale admissions, illegal transitions, lost-update divergences, or Broker-network inconsistency.
Problem

Research questions and friction points this paper is trying to address.

QoS Coordination
B5G/6G Networks
Industrial Services
Workflow
Capability Information
Innovation

Methods, ideas, or system contributions that make the work stand out.

Capability Broker
QoS Coordination
B5G/6G Networks
Lifecycle-Managed QoS Commitment
Consistency Enforcement
Q
Qize Guo
Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, 44801, Germany
Yan Chen
Yan Chen
Zhongke Radio Sensing AI Technology/University of Science and Technology of China
Wireless MultimediaWireless Sensing
Tarik Taleb
Tarik Taleb
Ruhr University Bochum
Network Function VirtualizationNetwork SoftwarizationSoftware Defined Networking
B
Bjoern Riemer
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, 10589, Germany
H
Hemant Zope
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, 10589, Germany
Hao Yu
Hao Yu
Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China
deterministic networkingsemantic networkingXRcloud and edge continuum