Reducing MTTR Using Spectral Resilience Index: Experimental Validation via Observability and FEA-Inspired Modeling
Anand Sunder
This paper presents an experimental evaluation of the Spectral Resilience Index (SRI) as a control metric for reducing Mean TimeTo Recovery (MTTR) in distributed systems. Using observable runtime signals (latency, throughput, error rate, saturation), we derive interaction strengths and compute SRI from spectral properties. We validate the approach using classical statistical methods, ablation studies, and controlled failure scenarios. Results show that SRI enables earlier detection of non-recoverable states, reduces ineffective remediation cycles, and improves operational decision-making under failure.


















