Work

Resource Orchestration and Optimization in 6G Extreme-edge Scenario

Year: 2025

Type: conference-paper

Abstract: 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 service migration and continuity in unstable environments.

Source: IEEE Conference on Standards for Communications and Networking

DOI: 10.1109/cscn67557.2025.11230726

Authors: Manuel A. Jimenez, Sarang Kahvazadeh, Ignacio Labrador, Josep Mangues-Bafalluy

Institution: Centre Tecnologic de Telecomunicacions de Catalunya

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Agencia Estatal de Investigación

Awards: G2262748287, G3480869486