Jul 2026· International Conference on Computer Communications and Networks· pp. 1-6· 0 citations· 28 references
Abstract
As 5G and Beyond networks increasingly expose programmable capabilities to vertical industries through standardized APIs such as CAMARA, new challenges emerge regarding efficient and reliable resource orchestration. In this paper we present a vertical-aware orchestration framework based on intelligent edge-deployed network applications that enable real-time coordination between vertical services and the 5G network. We introduce the Quality Awareness EdgeApp, a context-aware solution for dynamic per-UE QoS adaptation using exposed network APIs. The proposed framework is validated in a real-world 5G Standalone deployment at the Port of Antwerp-Bruges (Belgium) for teleoperated vessel operations. Our experimental results demonstrate improved SLA adherence and resource efficiency compared to static slicing and overprovisioning approaches. Our proposed architecture represents a practical step toward adaptive and scalable orchestration for 5G and Beyond vertical services.
An agentic OP framework autonomously reconciles stringent Service Level Agreements (SLAs) while enhancing infrastructure energy efficiency and establishing a scalable blueprint for cross-domain Network-as-a-Service (NaaS) models that align standardised exposure with 6G autonomous requirements.
METIS is a declarative slice orchestrator that manages the Day-0/1/2 lifecycle of network slice instances through cascaded reconciliation loops, and derives 3GPP-aligned slice profiles via hierarchical aggregation following the 5G quality-of-service model.
Arman Divband, A. Yaghoubian, Navid Nikaein· arXiv.org· 0 citations
A compact reasoning model trained with verifier-based self-verification and periodically refined online via shadow updates is deployed, showing manageable, near-linear control-plane overhead as domains scale and during domain joins, and robust decision quality, including recovery after objective changes.
Masoud Shokrnezhad, T. Taleb· IEEE Network· 0 citations
This paper proposes an innovative solution using AI-based microservices architecture in combination with .NET and Azure technologies. The architecture is aimed at developing flexible enterprise applications by means of implementing elastic orchestration. In this regard, the novel architecture of Elastic Cognitive Orche...
Amit Makwana· 2026 7th International Confe...· 0 citations
This paper presents a comprehensive study of edge-cloud orchestration strategies tailored for scalable industrial automation systems, and reveals that intelligent orchestration can significantly enhance operational efficiency, system scalability, and responsiveness in industrial settings.
A. Reza· International Journal of Mac...· 0 citations
Heterogeneous multi-UAV fleets act as highly dynamic mobile Internet of Things (IoT) nodes, but they often integrate platforms with incompatible telemetry and control semantics, hindering safe and scalable coordination. This paper presents an Asset Administration Shell (AAS)-driven digital twin architecture for the clo...
M. Bampi, P. H. M. Pereira, E. P. de Freitas· International Conference on...· 0 citations
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