Centrality-Entropy Index Framework — Live Demonstration
Each scenario below exercises the CEI framework on a structurally distinct class of resource-allocation problem — from commercial cloud microservices to tactical drone swarms, GPU training clusters, underwater positioning networks, and strategic communications infrastructure. The framework produces sensible decisions across all five, demonstrating operation at the level of system structure rather than application domain.
Select any scenario to see live CEI analysis: dependency graph, per-node centrality/entropy/governance scores, oscillation suppression, fault propagation analysis, and HPA-vs-CEI comparison. No login required.
Each scenario is a synthetic dataset whose topology, tier assignments, governance constraints, and telemetry envelopes are derived from publicly published reference architectures and operational research in that domain. Sources include the AWS Well-Architected Framework (commercial cloud), NVIDIA DGX SuperPOD reference architecture and MLCommons MLPerf (GPU clusters), DARPA OFFSET / CODE and USAF Skyborg (drone swarm), NATO CMRE and US Navy ONR (underwater acoustic positioning), and DoD NC3 / RAND modernization studies (strategic communications). Per-scenario citations appear on each detail page.
The same datasets are reproduced in /core-engine/scenarios and referenced as worked examples in USPTO App. 19/641,446. Numbers are constructed to exercise the CEI pipeline across structurally distinct workloads — they are not measurements of any single production system.