EEP Protocol — Energy Efficiency Protocol
Overview
The Energy Efficiency Protocol (EEP) is the SIM‑ONE Framework’s governance layer dedicated to ensuring that intelligence operates within sustainable resource limits.
Rather than treating efficiency as an afterthought, EEP embeds energy stewardship into the core of cognitive governance.
EEP ensures that AI workflows deliver maximum value while consuming the minimum possible computational energy, making governed cognition both sustainable and scalable.
Key Functions
- Energy Stewardship — Enforces resource‑aware operation across all governed workflows.
- Efficiency‑First Governance — Evaluates potential processing paths and favors those that maintain performance with lower energy cost.
- Operational Monitoring — Observes consumption trends and flags governance violations.
- Performance Integrity — Balances optimization with the requirement for deterministic, high‑quality results.
- Sustainability Assurance — Ensures governance decisions align with long‑term operational viability.
Governance Role in SIM‑ONE
EEP supports the Five Laws of Cognitive Governance by:
- Protecting architectural intelligence from unsustainable scaling practices.
- Preventing performance loss while reducing unnecessary computational demand.
- Ensuring efficiency metrics are part of governance audits, not separate from them.
- Promoting system designs that do more with less.
Efficiency Governance Modes
EEP can govern efficiency through multiple high‑level strategies:
- Baseline Reduction — Establishes and enforces a target energy profile for given workflows.
- Adaptive Optimization — Adjusts operational parameters in response to real‑time workload conditions.
- Constraint‑Driven Operation — Operates within predefined CPU, memory, and network consumption boundaries.
- Sustainability Prioritization — Prioritizes tasks and methods with the highest long‑term efficiency impact.
Resource Oversight
EEP provides governance over:
- Processing Demand — Keeping CPU and GPU usage aligned with governance limits.
- Memory Utilization — Preventing unnecessary allocation and ensuring timely release.
- Network Usage — Avoiding excessive communication overhead and optimizing transfer patterns.
- Storage Operations — Reducing energy waste in data handling and retrieval.
Integration within SIM‑ONE
EEP operates as a cross‑cutting governance layer:
- Works in concert with orchestration (CCP) to ensure efficiency is part of coordination decisions.
- Advises protocol execution paths to meet governance‑approved energy profiles.
- Maintains efficiency audits for post‑operation review.
Benefits in Governed Cognition
- Operational Sustainability — Prolongs system viability under growing workloads.
- Cost Efficiency — Reduces infrastructure and operational costs through energy‑aware governance.
- Environmental Responsibility — Aligns AI operations with sustainable computing practices.
- Resilience — Systems designed under efficiency governance remain more stable under resource pressure.
Notes on Implementation
Specific algorithmic strategies, optimization formulas, and system‑level efficiency techniques are available in the repository’s implementation under the dual-license model.
This documentation focuses on EEP’s governance role, conceptual purpose, and integration philosophy within SIM‑ONE.