Towards Context-Aware Edge-Cloud Continuum Orchestration for Multi-user XR Services

2026-02-03

AI Summary

This work addresses the challenge of jointly orchestrating low-latency and high-bandwidth resources for multi-user extended reality (XR) services in shared distributed environments, where existing edge–cloud continuum orchestration approaches struggle to ensure immersive experiences. The authors propose a context-aware, four-layer virtualization orchestration framework that, for the first time, parameterizes multi-user XR service requirements and integrates them into edge–cloud continuum resource scheduling. By employing a hierarchical optimization strategy, the framework dynamically coordinates network, computing, and service resources. Integrated with 5G/6G networking and edge–cloud collaboration mechanisms, the proposed approach significantly improves quality of service for multi-user XR applications, effectively reduces end-to-end latency, and enhances system scalability.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search
• Computer Vision: Low Level & Physics-based Vision

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• User Modeling, Personalization and Recommendation: Federated recommendation systems and personalization
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

The rapid growth of multi-user eXtended Reality (XR) applications, spanning fields such as entertainment, education, and telemedicine, demands seamless, immersive experiences for users interacting within shared, distributed environments. Delivering such latency-sensitive experiences involves considerable challenges in orchestrating network, computing, and service resources, where existing limitations highlight the need for a structured approach to analyse and optimise these complex systems. This challenge is amplified by the need for high-performance, low-latency connectivity, where 5G and 6G networks provide essential infrastructure to meet the requirements of XR services at scale. This article addresses these challenges by developing a model that parametrises multi-user XR services across four critical layers of the standard virtualisation architecture. We formalise this model mathematically, proposing a context-aware framework that defines key parameters at each level and integrates them into a comprehensive Edge-Cloud Continuum orchestration strategy. Our contributions include a detailed analysis of the current limitations and needs in existing Edge-Cloud Continuum orchestration approaches, the formulation of a layered mathematical model, and a validation framework that demonstrates the utility and feasibility of the proposed solution.

Problem

• multi-user XR
• Edge-Cloud Continuum
• resource orchestration
• latency-sensitive services
• context-aware

Innovation

• Context-Aware Orchestration
• Edge-Cloud Continuum
• Multi-user XR
• Layered Mathematical Model
• 5G/6G-enabled XR