
Companion artifacts for the paper "Automatic Clutch: An Industrial Experience with Predictive Autoscaling as a Diagnostic Instrument" accepted at the Industry Track of ECSA 2026. This archive contains: 1. Workload Characterization – the empirical analysis underlying the tier design (stationarity, seasonal strength, trend strength). 2. Architecture Specification – the Automatic Clutch architecture specification referenced in the paper. Production telemetry cannot be released under NDA. These artifacts provide the reusable design rationale and analytical basis independent of the protected data.
software architecture, workload characterization, self-adaptive systems, MAPE-K, Kubernetes, predictive autoscaling
software architecture, workload characterization, self-adaptive systems, MAPE-K, Kubernetes, predictive autoscaling
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
