Resource Orchestration and Optimization in 6G Extreme-edge Scenario
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911319660167168 |
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| author | Jimenez, Manuel A. Kahvazadeh, Sarang Labrador, Ignacio Mangues-Bafalluy, Josep |
| author_facet | Jimenez, Manuel A. Kahvazadeh, Sarang Labrador, Ignacio Mangues-Bafalluy, Josep |
| contents | 6G networks envision a pervasive service infrastructure spanning from centralized cloud to distributed edge and highly dynamic extreme-edge domains. This vision introduces significant challenges in orchestrating services over heterogeneous, volatile, and often mobile resources beyond traditional operator control. To address these challenges, this demo presents a 6G-ready orchestration architecture focused on resource prediction and service resilience at the extreme-edge. The proposed solution integrates (i) an AI/ML-based Infrastructure Status Prediction Module, (ii) a Monitoring System capable of handling large-scale, diverse telemetry, and (iii) a Decision Engine and Actuator that ensures proactive |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2512_13306 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Resource Orchestration and Optimization in 6G Extreme-edge Scenario Jimenez, Manuel A. Kahvazadeh, Sarang Labrador, Ignacio Mangues-Bafalluy, Josep Networking and Internet Architecture 6G networks envision a pervasive service infrastructure spanning from centralized cloud to distributed edge and highly dynamic extreme-edge domains. This vision introduces significant challenges in orchestrating services over heterogeneous, volatile, and often mobile resources beyond traditional operator control. To address these challenges, this demo presents a 6G-ready orchestration architecture focused on resource prediction and service resilience at the extreme-edge. The proposed solution integrates (i) an AI/ML-based Infrastructure Status Prediction Module, (ii) a Monitoring System capable of handling large-scale, diverse telemetry, and (iii) a Decision Engine and Actuator that ensures proactive |
| title | Resource Orchestration and Optimization in 6G Extreme-edge Scenario |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2512.13306 |