Reproduce “Cross-Cluster Networking to Support Extended Reality Services” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Theodoros Theodoropoulos, Luis Rosa, Abderrahmane Boudi, Tarik Zakaria Benmerar, Antonios Makris, Tarik Taleb, Luis Cordeiro, Konstantinos Tserpes and 1 more
This research from Harokopio University of Athens, National Technical University of Athens, Oulu University, Sejong University, OneSource, and ICTFICIAL OY proposes and evaluates an open-source solution for deploying demanding Extended Reality (XR) services across multiple Kubernetes clusters. The approach combines Cluster API for multi-cluster management and Liqo for cross-cluster networking, demonstrating efficient provisioning and minimal overhead for a video streaming XR use case.
Key insights
- Cluster API efficiently automates Kubernetes cluster provisioning, with lightweight K3s distributions demonstrating faster deployment times compared to kubeadm.
- Liqo's overlay network provides effective cross-cluster connectivity for UDP-based XR services, introducing comparable end-to-end latency and memory footprint to Kubernetes NodePort.
- The chosen open-source frameworks (Cluster API and Liqo) offer a practical, scalable, and vendor-neutral architecture capable of supporting the functional and QoS requirements of demanding XR applications in distributed cloud-edge environments.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.