Detecting Gray Failures in Edge Networks with Lightweight Unsupervised Learning
Gray failures degrade service quality without necessarily triggering binary availability monitors, leaving a gap between normal operation and complete outage. This paper investigates whether lightweight unsupervised learning can serve as an early-warning layer for proactive failover in edge networks. We present a six-n...