FOCOM-Enabled Automation and Closed-Loop Control for Multi-Cloud O-Cloud Deployments

The O-RAN Alliance introduces the $\mathbf{0 2}$ interface to support interoperable infrastructure management across heterogeneous O-Cloud environments. However, achieving unified and scalable lifecycle management remains challenging due to the diversity of cloud platforms. This paper proposes a generic, O-RAN-compliant Infrastructure Management Services (IMS) framework that integrates an abstraction-layer-based design with automation tools to support seamless multi-cloud interoperability. A FOCOM-enabled mechanism is developed to automate the initialization of both O-Cloud and IMS instances. Experimental evaluations demonstrate the effectiveness of the proposed framework in three scenarios: (1) closed-loop control for energyefficient node management, (2) automated IMS and O-Cloud deployment, and (3) large-scale IMS performance under emulated O-Cloud topologies. Results show successful node scaling in response to workload thresholds, efficient IMS initialization within 306 seconds, and scalable IMS operation across 2,500 simulated nodes. These findings validate the framework’s applicability to real-world O-RAN deployments and its potential for AI/ML-driven, cross-domain resource optimization.

Authors

Institutions

Publication Details

Published
2025-09-22
DOI
https://doi.org/10.23919/apnoms67058.2025.11181383
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FOCOM-Enabled Automation and Closed-Loop Control for Multi-Cloud O-Cloud Deployments

Chien‐Chao Tseng, Li‐Hsing Yen, Tse-Han Wang, Yifan Li
Cloud Computing and Resource Management
article

FOCOM-Enabled Automation and Closed-Loop Control for Multi-Cloud O-Cloud Deployments

Chien‐Chao Tseng, Li‐Hsing Yen, Tse-Han Wang, Yifan Li
article en

Abstract

The O-RAN Alliance introduces the $\mathbf{0 2}$ interface to support interoperable infrastructure management across heterogeneous O-Cloud environments. However, achieving unified and scalable lifecycle management remains challenging due to the diversity of cloud platforms. This paper proposes a generic, O-RAN-compliant Infrastructure Management Services (IMS) framework that integrates an abstraction-layer-based design with automation tools to support seamless multi-cloud interoperability. A FOCOM-enabled mechanism is developed to automate the initialization of both O-Cloud and IMS instances. Experimental evaluations demonstrate the effectiveness of the proposed framework in three scenarios: (1) closed-loop control for energyefficient node management, (2) automated IMS and O-Cloud deployment, and (3) large-scale IMS performance under emulated O-Cloud topologies. Results show successful node scaling in response to workload thresholds, efficient IMS initialization within 306 seconds, and scalable IMS operation across 2,500 simulated nodes. These findings validate the framework’s applicability to real-world O-RAN deployments and its potential for AI/ML-driven, cross-domain resource optimization.

National Yang Ming Chiao Tung University (TW)
Openalex Percentile: Top 59%
Cloud Computing and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FOCOM-Enabled Automation and Closed-Loop Control for Multi-Cloud O-Cloud Deployments — Chien‐Chao Tseng, Li‐Hsing Yen, et al. · (2025) | TGRS Research Map | TGRS