When Systems Bleed: Teaching Distributed AI to Heal Itself
Opening — Why this matters now Distributed systems are no longer just distributed. They are fragmented across clouds, edges, fog nodes, IoT devices, and whatever underpowered hardware someone insisted on deploying in a basement. This so‑called computing continuum promises flexibility, but in practice it delivers something else: constant failure. Nodes disappear. Latency spikes. Logs contradict each other. Recovery scripts work—until they don’t. Traditional fault‑tolerance assumes failures are predictable, classifiable, and politely arrive one at a time. Reality, as usual, disagrees. ...