From the 1 of 2 linked papers with an AI index.
2 papers
cs.SE2026
A Telemetry-Driven Model for Quantifying Upgrade Risk in Durable Workflow Execution
Luca Maraschi, Matteo Collina
The paper introduces a probabilistic model that uses existing workflow telemetry to assess the risk of upgrading in‑flight durable workflow runs, providing a quantitative Upgrade R…
cs.SE2026
Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
Ivan Tymoshenko, Luca Maraschi, Matteo Collina
Kubernetes offers two default paths for scaling Nodejs workloads, and both have structural limitations. The Horizontal Pod Autoscaler scales on CPU utilization, which does not dire…