IoT applications are increasingly pushing the limits of cloud-only architectures. From autonomous driving to real-time monitoring, many services need ultra-low latency and can’t rely on distant cloud servers alone. In our latest AIoTwin blog post, Ivan Čilić breaks down how the Computing Continuum (CC) can meet these demands—and why adaptive, QoS-aware load balancing is essential for reliable performance.
This work comes from his doctoral research at FER and ongoing collaboration with the DSG Group at TU Wien as part of the AIoTwin project.
Key highlights:
- How dynamic conditions in the CC break traditional load-balancing approaches
- Introducing QEdgeProxy — a decentralized, QoS-aware load balancer
- How QEdgeProxy uses local data to learn which service instances meet QoS requirements in real time
- How a Kubernetes-based implementation enables lightweight, scalable deployment
Ivan’s work shows that decentralized QoS-aware load balancing is not only feasible but necessary to keep edge services responsive under real-world conditions.
Read the full post here.