Centrality-Entropy Index (CEI) Framework — USPTO App. No. 19/641,446
This page summarizes the federal programs, defense applications, and quantified impact advanced by the CEI framework. Each claim below is paired with a publicly verifiable source link so a reviewer can independently confirm the reference.
Every component is reproducible: the full patent specification, source code, reference datasets, and a live deployed instance are linked in the Reproducibility section.
Commercial FinOps platforms — Cloudability, CloudZero, Vantage, Flexera ONE, Apptio — evaluate individual cloud resources in isolation and surface per-instance rightsizing recommendations. They do not model the dependency graph, do not gate recommendations through governance policy, and do not validate proposed modifications against the downstream blast radius before they are offered to an operator. For federal and defense workloads, those capabilities are not optional; they determine whether a recommendation is safe to execute at all.
The CEI framework is not speculative — it maps to named, budgeted federal programs and standing executive orders. Each entry below identifies the specific governance or resource-allocation problem the framework addresses.
Multi-cloud DoD contract (AWS, Microsoft, Google, Oracle) with up to $9B ceiling. Workload migration and ongoing optimization across providers requires exactly the topology-aware, governance-enforcing decision framework described in the patent.
View authoritative source →FedRAMP authorization requires demonstrable governance over data residency, encryption, redundancy, and access control. The CEI Governance Policy Store (Patent Module 104) directly encodes FedRAMP-style constraints and surfaces violations before any modification reaches production.
View authoritative source →Section 3 mandates federal agencies adopt zero-trust architecture and continuous monitoring. The CEI pre-modification validator (Module 110) and rollback manager (Module 112) provide auditable evidence that any change was risk-assessed and reversible — a direct fit for §3(a) and §3(d).
View authoritative source →AI training infrastructure is one of the patent’s explicit application domains (GPU cluster scenario, §7.4). The CEI framework provides governance-aware allocation for shared GPU pools — directly applicable to the EO’s requirements around responsible federal AI compute usage.
View authoritative source →Federal directive on resilient PNT in GPS-denied environments. The Underwater Acoustic Positioning scenario (Patent §7.3) demonstrates the CEI framework operating on exactly this class of system — sparse-bandwidth, minimum-source-enforcement, ocean-noise adaptive.
View authoritative source →OMB strategy mandates measurable cost optimization and security across federal cloud workloads. The CEI cost-savings engine + HPA-vs-CEI benchmark provide the kind of side-by-side, auditable evidence required by Cloud Smart procurement reviews.
View authoritative source →Three live demonstration scenarios exercise the framework on structurally distinct classes of national-security infrastructure. Each is runnable in one click.
A 17-node strategic communications network with path-diversity, two-person crypto integrity, and segmentation requirements. CEI demonstrates correctness on high-redundancy, low-utilization-by-design infrastructure — the inverse of every commercial autoscaler’s assumption.
Directly relevant to DoD Nuclear Command, Control & Communications modernization and the FY-budgeted NC3 enterprise refresh ($77B+ committed across the FYDP per CBO).
A 14-node UAV mesh with latency budgets, link redundancy, and intermittent connectivity under EM jamming. Demonstrates CEI operating on a latency-critical edge mesh under adversarial conditions.
Aligned with DARPA OFFSET, DARPA CODE, and USAF Skyborg autonomy programs. The framework provides the topology-aware, governance-enforcing decision layer those programs need on top of the autonomy stack.
A 14-node bandwidth-constrained positioning network with minimum-positioning-source enforcement and ocean-noise adaptivity. Tests framework generalization to sparse-connectivity environments.
Directly supports NSPM-7 (Resilient PNT) and US Navy ONR Ocean Acoustics & Acoustic Communications priorities. One of very few software frameworks that operates correctly on sub-acoustic bandwidth budgets.
Every figure below is paired with a publicly verifiable source. Ranges are conservative and exclude second-order effects (cascade-failure avoidance, oscillation-suppression downtime savings).
Approximate annual federal civilian + defense IT obligations (per FY24 IT Dashboard / OMB Analytical Perspectives).
OMB IT Dashboard →Joint Warfighting Cloud Capability indefinite-delivery / indefinite-quantity ceiling across AWS, Azure, GCP, Oracle.
DISA — JWCC →Flexera 2024 State of the Cloud report: enterprises self-report ~32% of cloud spend is wasted on under-utilized or mis-sized resources. Applied to federal cloud workloads, this is the addressable optimization band the CEI framework targets.
Flexera 2024 State of the Cloud →Per-node savings range observed in the live demo across the 5 reference scenarios (consolidation 27%, rightsizing 15% per Patent §V.B). Conservative because it excludes cascade-failure avoidance and oscillation-suppression downtime savings.
Live demo — /demo →A reviewer can independently verify every claim on this page using the artifacts below. No login is required for the demo scenarios.
System and Method for Dynamic Resource Allocation in Distributed Computing Environments Using Adaptive Centrality-Entropy Index with Oscillation Suppression and Fault Propagation Control