Stability-First Benchmarking Methodology
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Traditional benchmarking measures how systems fail. The Mean Conditions for Instability (MCI) methodology measures something far more operationally relevant: the precise conditions under which systems stop behaving predictably. This paper introduces a stability-first benchmarking framework that detects instability onset using reproducible statistical indicators of jitter, nonlinear latency, and resource oscillation. The result is a quantifiable stability envelope that architects and operators can use to define reliable deployment boundaries.
Fields of Study & Subjects
Software System Performance and Reliability
Distributed systems and fault tolerance
Cloud Computing and Resource Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 March 2026
- Language
- EN
- Document type
- Preprint