Towards Context-Aware Edge-Cloud Continuum Orchestration for Multi-user XR Services
Inhar Yeregui, \'Angel Mart\'in, Mikel Zorrilla, Roberto Viola, Jasone Astorga, Eduardo Jacob

TL;DR
This paper proposes a layered, context-aware mathematical model for orchestrating multi-user XR services across edge and cloud resources, addressing latency and resource management challenges in immersive shared environments.
Contribution
It introduces a novel layered model and formal framework for optimizing edge-cloud orchestration tailored for multi-user XR applications.
Findings
Model effectively captures XR service parameters across layers
Framework demonstrates improved resource allocation strategies
Validation shows feasibility for real-world deployment
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…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Software-Defined Networks and 5G · Cloud Computing and Resource Management
