Core System Architecture Part 114 — Anonymous Network Sustainability, Carbon-Aware Scheduling, Hardware Lifecycle, Resource Reuse & Privacy-Preserving Environmental Efficiency Architecture
SIAR — Secure, Local-First, Multi-Transport Communication Platform
Series: Core System Architecture
Part: 114
Status: Architecture specification
Primary language: Rust
Builds on: Core System Architecture Parts 62–63, 67, 73, 92, 100–113
Primary purpose: define SIAR's sustainability architecture for carbon-aware scheduling, environmental efficiency, hardware lifecycle, embodied-carbon accounting, resource reuse, refurbishment, e-waste reduction, sustainable procurement, renewable-energy windows, environmental capacity planning, and privacy-preserving ecological governance.
1. Purpose
Infrastructure consumes:
electricity
hardware
storage media
network capacity
cooling
manufacturing resources
Sustainability engineering asks:
Can this work run when electricity is cleaner?
Can hardware lifetime be extended safely?
Can idle resources be reused before new capacity is purchased?
Can e-waste be reduced without sacrificing reliability?
Can environmental optimization respect data residency and privacy?
The governing principle is:
SIAR may optimize infrastructure for environmental efficiency only after correctness, security, privacy, reliability, residency, and service-level requirements are satisfied.
2. Architectural Position
Operational Work / Capacity Need
│
▼
Sustainability Policy
│
┌────────┼────────┐
│ │ │
Energy Hardware Carbon
│ │ │
└────────┼────────┘
▼
Environmental Decision Engine
│
┌────────┼────────┐
│ │ │
Schedule Reuse Procure
│
▼
Verification / Evidence
3. Core Separation
Keep distinct:
energy efficiency
carbon intensity
embodied carbon
cost
capacity
performance
hardware lifetime
resource reuse
4. Non-Goals
Part 114 does not create:
user-level carbon scores
behavioral nudging based on private activity
carbon optimization that weakens privacy
greenwashing metrics without provenance
mandatory workload migration across forbidden jurisdictions
5. Sustainability Scope
#![allow(unused)] fn main() { pub enum SustainabilityScope { Service(ServiceId), Region(RegionId), ResourcePool(ResourcePoolId), Asset(AssetId), HardwareClass(HardwareClass), WorkClass(WorkClass), } }
6. No User Scope
Hard rule.
7. Sustainability Dimension
#![allow(unused)] fn main() { pub enum SustainabilityDimension { OperationalEnergy, CarbonIntensity, EmbodiedCarbon, HardwareLifetime, ResourceReuse, CoolingEfficiency, EWaste, } }
8. Environmental Budget
#![allow(unused)] fn main() { pub struct EnvironmentalBudget { pub scope: SustainabilityScope, pub max_operational_energy: Option<FixedPoint>, pub max_carbon_intensity: Option<FixedPoint>, pub minimum_hardware_lifetime: Option<Duration>, } }
9. Budget Is Advisory Unless Policy Says Otherwise
Security/reliability always higher priority.
10. Policy Precedence
correctness
> security/privacy
> residency
> reliability
> performance SLO
> sustainability
> cost
11. Hard rule.
12. Operational Energy
Measure infrastructure energy usage where practical.
#![allow(unused)] fn main() { pub struct OperationalEnergySample { pub scope: SustainabilityScope, pub watt_hours: FixedPoint, pub interval: TimeRange, } }
13. Aggregate Only
No user/device behavioral profile.
14. Hard rule.
15. Energy Source Metadata
#![allow(unused)] fn main() { pub enum EnergySourceClass { GridMixed, RenewableHigh, RenewableLow, Unknown, } }
16. Avoid False Precision
If source mix uncertain, mark Unknown.
17. Hard rule.
18. Carbon Intensity
Represent external/provider estimate.
#![allow(unused)] fn main() { pub struct CarbonIntensity { pub grams_co2e_per_kwh: FixedPoint, pub source: CarbonDataSource, pub observed_at: CoarseTimestamp, } }
19. Carbon Data Source
#![allow(unused)] fn main() { pub enum CarbonDataSource { ProviderPublished, GridOperator, IndependentDataset, ConservativeEstimate, } }
20. Hard Rule
Carbon data is evidence with provenance, not an unquestioned truth.
21. Carbon-Aware Scheduling
Only deferrable workloads can shift in time.
Examples:
backup compaction
index rebuild
analytics rollup
nonurgent update prefetch
large background sync
22. Not Deferrable
security revocation
critical control traffic
direct messaging
emergency traffic
incident recovery
23. Hard rule.
24. Deferrability
#![allow(unused)] fn main() { pub enum SustainabilityDeferrability { Immediate, ShortWindow(Duration), FlexibleWindow(Duration), BatchWindow(Duration), } }
25. Carbon-Aware Job
#![allow(unused)] fn main() { pub struct CarbonAwareJob { pub work: WorkId, pub class: WorkClass, pub deferrability: SustainabilityDeferrability, pub deadline: Option<Timestamp>, } }
26. No Missed Deadline For Carbon Optimization
Hard rule.
27. Renewable Window
#![allow(unused)] fn main() { pub struct RenewableWindow { pub region: RegionId, pub starts_at: Timestamp, pub ends_at: Timestamp, pub intensity: CarbonIntensity, } }
28. Scheduling Decision
#![allow(unused)] fn main() { pub enum SustainabilitySchedulingDecision { RunNow, DeferUntil(Timestamp), RunInRegion(RegionId), NoSustainableAlternative, } }
29. Region Shift
Only if:
security
privacy
residency
latency
reliability
allow it.
30. Hard rule.
31. No Silent Cross-Border Carbon Routing
Hard rule.
32. Carbon-Aware Region Selection
Selection order:
eligible by security/privacy/residency
→ sufficient reliability/capacity
→ acceptable latency
→ environmental preference
→ cost
33. Hard rule.
34. Carbon Budget
#![allow(unused)] fn main() { pub struct CarbonBudget { pub scope: SustainabilityScope, pub period: BudgetPeriodId, pub target_grams_co2e: FixedPoint, pub consumed_grams_co2e: FixedPoint, } }
35. No Per-User Carbon Budget
Hard rule.
36. Carbon Budget State
#![allow(unused)] fn main() { pub enum CarbonBudgetState { Healthy, Warning, Exceeded, Unknown, } }
37. Exceeded Does Not Override Reliability
Hard rule.
38. Embodied Carbon
Hardware manufacturing impact.
39. Hardware Embodied Carbon Record
#![allow(unused)] fn main() { pub struct EmbodiedCarbonRecord { pub hardware: HardwareAssetId, pub estimated_grams_co2e: FixedPoint, pub source: EmbodiedCarbonSource, } }
40. Source
#![allow(unused)] fn main() { pub enum EmbodiedCarbonSource { ManufacturerPublished, LifecycleAssessment, ConservativeEstimate, } }
41. Hard Rule
Embodied carbon is modeled separately from electricity use.
42. Hardware Lifecycle
#![allow(unused)] fn main() { pub enum HardwareLifecycleState { Planned, InService, Degraded, RepairCandidate, Refurbished, SecondaryUse, Decommissioning, Recycled, Disposed, } }
43. No Automatic Disposal On First Fault
Hard rule.
44. Hardware Lifecycle Record
#![allow(unused)] fn main() { pub struct HardwareLifecycleRecord { pub asset: HardwareAssetId, pub state: HardwareLifecycleState, pub commissioned_at: Timestamp, pub last_assessment: Timestamp, } }
45. Expected Lifetime
#![allow(unused)] fn main() { pub struct HardwareLifetimePolicy { pub hardware_class: HardwareClass, pub minimum_expected_lifetime: Duration, pub repair_preference: bool, } }
46. Reliability Still Governs
A failing critical host is not retained merely to meet sustainability targets.
47. Hard rule.
48. Repair vs Replace
Decision inputs:
failure risk
repairability
energy efficiency
embodied carbon
capacity requirement
security support
firmware support
49. Hardware Decision
#![allow(unused)] fn main() { pub enum HardwareDisposition { ContinueUse, Repair, Refurbish, SecondaryUse, Recycle, Replace, } }
50. Security Support Sunset
Unsupported firmware/hardware can force retirement.
51. Hard rule.
52. Secondary Use
Older hardware may serve:
development
test
batch jobs
cold storage
offline tools
53. Not:
critical trust root
security-sensitive production
unless policy permits.
54. Hard rule.
55. Resource Reuse
Prefer reusing available approved capacity before procurement when safe.
56. Reuse Candidate
#![allow(unused)] fn main() { pub struct ReuseCandidate { pub asset: AssetId, pub capacity: CapacitySnapshotRef, pub security_posture: SecurityPostureLevel, pub lifecycle: AssetLifecycleState, } }
57. Reuse Decision
#![allow(unused)] fn main() { pub enum ReuseDecision { Reuse, ReuseWithUpgrade, Reject, } }
58. No Reuse If Security Posture Inadequate
Hard rule.
59. Idle Capacity Reclamation
Can reduce new hardware procurement.
60. But do not reclaim protected failover/security reserves.
61. Hard rule.
62. Consolidation
Consolidate lightly utilized workloads if:
fault-domain diversity preserved
capacity reserve preserved
tenant isolation preserved
63. Part 110 interaction.
64. Hard rule.
65. E-Waste
Track disposition.
#![allow(unused)] fn main() { pub enum EWasteDisposition { Reused, Refurbished, RecycledCertified, DonatedApproved, Disposed, } }
66. Data Erasure Before Reuse/Recycle
Part 67.
67. Hard rule.
68. Storage Device Retirement
Requires:
cryptographic erasure
secure erase
physical destruction where necessary
69. Hard rule.
70. Reuse After Sanitization
Asset may re-enter lower-risk role after verified sanitization.
71. Hard rule.
72. Sustainable Procurement
Procurement inputs:
performance-per-watt
repairability
expected lifetime
vendor support
firmware longevity
recycled content
energy efficiency
73. Security/compatibility remain mandatory.
74. Hard rule.
75. Procurement Policy
#![allow(unused)] fn main() { pub struct SustainableProcurementPolicy { pub hardware_class: HardwareClass, pub minimum_support_lifetime: Duration, pub repairability_required: bool, pub minimum_efficiency_score: Option<FixedPoint>, } }
76. No Single Environmental Score
Prefer matrix.
77. Hard rule.
78. Hardware Efficiency
Useful metric:
work units / watt-hour
79. But workload-specific.
80. Hard rule.
81. Performance per Watt
#![allow(unused)] fn main() { pub struct PerformancePerWatt { pub work_units: FixedPoint, pub watt_hours: FixedPoint, } }
82. No User Value Metric
Hard rule.
83. Server Power States
Use:
active
low-power
sleep
off
only where reliability class permits.
84. Hard rule.
85. Scale-Down & Sustainability
Scale-down idle capacity where:
reliability floor preserved
failover reserve preserved
cold-start latency acceptable
86. Hard rule.
87. Scale-to-Zero
Only for best-effort/noncritical workloads.
88. Hard rule.
89. Carbon-Aware Autoscaling
Part 101 extension.
Can prefer low-carbon eligible capacity when scaling out.
90. Cannot delay critical scale-out waiting for cleaner energy.
91. Hard rule.
92. Carbon-Aware Capacity Forecast
Part 111 extension.
Forecast:
future capacity
energy intensity
hardware acquisition
93. Good.
94. Renewable Capacity Planning
If region has variable renewable availability:
deferrable jobs shift
critical services remain provisioned
95. Hard rule.
96. Storage Sustainability
Cold data may move to lower-energy storage if:
latency
durability
residency
recovery
allow it.
97. Hard rule.
98. Data Minimization
Part 67 also reduces environmental load.
Delete data that no longer needs retention.
99. Hard rule.
100. Cache Sustainability
Unnecessary caches waste RAM and energy.
Evaluate saved work vs retained memory/energy.
101. Good.
102. Compression Tradeoff
Compression can reduce network/storage energy but increase CPU.
103. Evaluate end-to-end.
104. Hard rule.
105. Network Sustainability
Reduce duplicate transfers, reconnect storms, excessive keepalives, and redundant sync.
106. Security/privacy traffic protected.
107. Hard rule.
108. CDN/Edge
Use for public artifacts where efficient.
109. Private content only under explicit policy.
110. Hard rule.
111. Mixnet Sustainability
Cover traffic/delays consume energy.
112. They remain protected privacy costs.
113. Optimize implementation, not privacy floor.
114. Hard rule.
115. Relay Sustainability
Prefer efficient servers/network paths within allowed regions and diversity policy.
116. No user-flow location optimization.
117. Hard rule.
118. Media Sustainability
Adaptive bitrate and hardware codec use can lower energy.
119. Preserve call security/privacy.
120. Hard rule.
121. Client-Side Energy Sustainability
Part 113.
Idle efficiency reduces battery usage and device wear.
122. No battery optimization by weakening message durability/security.
123. Hard rule.
124. Update Sustainability
Delta updates reduce network/storage.
125. Must verify final artifact digest.
126. Hard rule.
127. Reproducible Builds
Part 73.
Avoid unnecessary duplicate build pipelines/artifacts.
128. Build cache can reduce energy if supply-chain safety maintained.
129. Hard rule.
130. CI Sustainability
Schedule low-priority CI to available capacity/windows where practical.
131. Security-critical CI not delayed.
132. Hard rule.
133. Build Work Consolidation
Batch similar builds/tests carefully.
134. Preserve isolation/reproducibility.
135. Hard rule.
136. Hardware Inventory Integration
Part 106.
Track:
hardware class
age
lifecycle
energy profile
repair state
137. No employee/user association.
138. Hard rule.
139. Desired-State Integration
Part 105.
Sustainability scheduling/power policies become signed desired state where relevant.
140. Hard rule.
141. Change Integration
Part 107.
Hardware consolidation, region migration, power-state policy, or carbon-aware placement are governed changes.
142. Hard rule.
143. Release Integration
Part 108.
Release readiness may include:
energy regression
hardware requirement change
background-work increase
144. Hard rule.
145. Reliability Integration
Part 109.
Sustainability cannot consume reliability budget silently.
146. Hard rule.
147. Resilience Integration
Part 110.
Consolidation/reuse must preserve fault-domain diversity.
148. Hard rule.
149. Capacity Forecast Integration
Part 111.
Environmental planning uses future capacity demand.
150. Hard rule.
151. Performance Integration
Part 112.
Energy-saving changes cannot violate latency/throughput budget.
152. Hard rule.
153. Efficiency Integration
Part 113.
Efficiency metrics feed sustainability model.
154. Hard rule.
155. FinOps Integration
Part 102.
Cost and carbon are different dimensions.
156. Cheap is not necessarily low-carbon.
157. Hard rule.
158. Geographic Governance Integration
Part 103.
Carbon-aware placement cannot cross prohibited jurisdiction/region policy.
159. Hard rule.
160. Organizational Governance Integration
Part 104.
Sustainability policy has accountable owner.
161. No employee environmental scoring.
162. Hard rule.
163. Sustainability Data Provenance
Every external carbon/energy factor stores source/version/time.
164. Hard rule.
165. Environmental Evidence
#![allow(unused)] fn main() { pub struct SustainabilityEvidence { pub scope: SustainabilityScope, pub period: TimeRange, pub energy: Option<FixedPoint>, pub carbon: Option<FixedPoint>, pub data_source_digest: Digest, } }
166. No Marketing-Only Number
Hard rule.
167. Sustainability Snapshot
#![allow(unused)] fn main() { pub struct SustainabilitySnapshot { pub snapshot_id: SustainabilitySnapshotId, pub generated_at: CoarseTimestamp, pub evidence_digest: Digest, } }
168. Signed for assurance if needed.
169. Hard rule.
170. Environmental Reporting
Report:
energy by infrastructure class
estimated carbon by region/provider
hardware lifecycle
reuse/refurbishment
e-waste disposition
171. No user-level report.
172. Hard rule.
173. Uncertainty
Environmental data often approximate.
174. Include confidence.
#![allow(unused)] fn main() { pub enum SustainabilityConfidence { Low, Medium, High, } }
175. No false precision.
176. Hard rule.
177. Carbon Accounting Boundary
Define included sources.
178. Example:
operational compute
storage
network estimate
embodied hardware
179. Keep scope explicit.
180. Hard rule.
181. Lifecycle Amortization
Embodied carbon may be amortized over expected useful lifetime.
182. Estimate only.
183. Hard rule.
184. Hardware Extension Tradeoff
Old hardware:
higher energy
lower new embodied carbon
185. Evaluate both.
186. Hard rule.
187. Environmental Scenario
#![allow(unused)] fn main() { pub enum SustainabilityScenario { Baseline, RenewableWindow, HardwareReuse, RegionShift, Consolidation, HardwareRefresh, } }
188. Scenario Analysis
Compare:
energy
carbon
cost
capacity
reliability
performance
189. Multi-dimensional.
190. Hard rule.
191. No Single Sustainability Score
Use matrix.
192. Hard rule.
193. Environmental Decision
#![allow(unused)] fn main() { pub struct SustainabilityDecision { pub scenario: SustainabilityScenario, pub energy_delta: Option<FixedPoint>, pub carbon_delta: Option<FixedPoint>, pub constraints_satisfied: bool, } }
194. If constraints false → reject.
195. Hard rule.
196. Carbon-Aware Scheduler Interface
#![allow(unused)] fn main() { pub trait CarbonAwareScheduler { fn decide( &self, job: &CarbonAwareJob, regions: &[RegionDescriptor], windows: &[RenewableWindow], ) -> Result<SustainabilitySchedulingDecision, SustainabilityError>; } }
197. Hardware Lifecycle Service
#![allow(unused)] fn main() { pub trait HardwareLifecycleService { fn assess( &self, asset: HardwareAssetId, ) -> Result<HardwareDisposition, SustainabilityError>; } }
198. Sustainability Planning Service
#![allow(unused)] fn main() { pub trait SustainabilityPlanningService { fn compare( &self, scenarios: &[SustainabilityScenario], scope: SustainabilityScope, ) -> Result<Vec<SustainabilityDecision>, SustainabilityError>; } }
199. No Direct Mutation
Execution through Part 107.
200. Hard rule.
201. Error Taxonomy
#![allow(unused)] fn main() { pub enum SustainabilityError { EnergyDataMissing, CarbonDataMissing, ConfidenceTooLow, ResidencyConflict, ReliabilityConflict, PerformanceConflict, SecurityConflict, HardwareUnsupported, ScopeViolation, Unauthorized, Internal, } }
202. Observability
Safe metrics:
energy by service/region
carbon intensity by region
hardware age/lifecycle
reuse rate
recycling rate
203. Forbidden:
per-user carbon
private activity
employee environmental ranking
204. Hard rule.
205. Sustainability SLOs
Examples:
100% retired storage sanitized
hardware lifecycle inventory freshness
deferrable jobs shifted only within deadline
carbon data freshness
206. Hard rule.
207. Security SLO
0 sustainability optimization bypassing security/residency/reliability gates
208. Privacy SLO
0 user-level sustainability profiling
0 carbon-aware routing based on private user behavior
209. Failure Modes
stale carbon data
provider greenwashing metadata
energy optimization causes latency regression
hardware kept beyond safe support
consolidation creates SPOF
210. Stale Carbon Data
Mark Unknown.
211. Do not defer critical workload based on stale signal.
212. Hard rule.
213. Greenwashing Risk
Prefer provenance and independent validation.
214. No marketing label as technical truth.
215. Hard rule.
216. Latency Regression
Rollback sustainability change.
217. Hard rule.
218. Unsupported Hardware
Retire despite environmental preference.
219. Hard rule.
220. Consolidation Risk
Resilience model must approve.
221. Hard rule.
222. Testing
Need sustainability testkit.
223. Test Scenarios
renewable-window batch scheduling
region carbon shift
hardware repair vs replace
storage reuse
server consolidation
224. Deadline Test
Deferred job still completes before deadline.
225. Residency Test
Carbon-aware scheduler rejects forbidden region.
226. Reliability Test
Scheduler rejects region without required redundancy/capacity.
227. Security Test
Critical security job never deferred for carbon reason.
228. Carbon Data Test
Stale/unknown intensity cannot produce strong claim.
229. Hardware Test
Unsupported firmware forces retirement.
230. Reuse Test
Sanitization/security posture required before reuse.
231. E-Waste Test
Retired storage requires disposition evidence.
232. Consolidation Test
No required redundancy loss.
233. Privacy Test
No user identity accepted as sustainability dimension.
234. Release Test
Energy regression visible in readiness.
235. Fuzzing
Fuzz:
carbon windows
hardware lifecycle transitions
environmental budgets
procurement policies
sustainability scenarios
236. Property Tests
Properties:
carbon-aware scheduler can never select region outside allowed geographic policy
critical work can never be deferred beyond its deadline
hardware reuse can never bypass sanitization/security checks
sustainability policy can never weaken privacy/security/reliability invariants
237. Formal Verification Targets
Strong candidates:
scheduler constraint precedence
hardware lifecycle state machine
deadline-safe deferral
reuse eligibility
238. Kani Candidate
policy precedence and lifecycle invariants.
239. TLA+ Candidate
job arrives → defer/run → deadline → completion under changing carbon windows.
240. Loom Candidate
concurrent schedule update + cancellation + job execution.
241. Performance
Sustainability decisions are off hot path for most work.
242. Critical realtime path must not wait on external carbon API.
243. Hard rule.
244. Carbon Data Cache
Versioned/freshness-bound.
245. Unknown on expiry.
246. Hard rule.
247. Storage
Separate:
energy aggregates
carbon-intensity records
hardware lifecycle
embodied-carbon estimates
reuse/recycle evidence
sustainability policy
248. No user event warehouse.
249. Hard rule.
250. Partitioning
By:
service
region
resource pool
hardware class
asset
work class
251. No user partition.
252. Hard rule.
253. Crate Layout
Recommended:
crates/
├── siar-sustainability-core/
├── siar-carbon-intensity/
├── siar-carbon-aware-scheduler/
├── siar-operational-energy/
├── siar-hardware-lifecycle/
├── siar-embodied-carbon/
├── siar-resource-reuse/
├── siar-sustainable-procurement/
├── siar-ewaste/
├── siar-sustainability-observability/
└── siar-sustainability-testkit/
254. siar-sustainability-core
Owns:
SustainabilityScope
SustainabilityDimension
SustainabilityScenario
errors
255. siar-carbon-intensity
External carbon-data normalization/provenance.
256. siar-carbon-aware-scheduler
Deferrable-work timing/eligible-region decisions.
257. siar-operational-energy
Aggregate service/region energy accounting.
258. siar-hardware-lifecycle
Repair/refurbish/reuse/retire transitions.
259. siar-embodied-carbon
Hardware lifecycle estimates.
260. siar-resource-reuse
Idle-capacity/secondary-use eligibility.
261. siar-sustainable-procurement
Hardware selection constraints/evidence.
262. siar-ewaste
Sanitization/disposition evidence.
263. siar-sustainability-observability
Aggregate environmental health only.
264. siar-sustainability-testkit
scheduling/hardware/privacy tests.
265. Security, Privacy & Correctness Invariants
Mandatory:
1. Sustainability decisions are subordinate to correctness, security, privacy, residency, reliability, and required performance; environmental optimization cannot weaken a hard invariant.
2. Sustainability telemetry is scoped to services, regions, resource pools, hardware classes, assets, and work classes and never uses stable user identity, private content, social graphs, or behavioral activity.
3. Carbon-aware scheduling may defer only explicitly deferrable work and can never delay critical security, emergency, recovery, control-plane, or correctness-preserving operations beyond policy.
4. Carbon-aware placement may select only regions already allowed by security, privacy, residency, capacity, and reliability policy; no "green" region creates an exception.
5. Carbon intensity and embodied-carbon values always carry provenance, timestamp/version, confidence, and accounting scope; stale or uncertain environmental data is never represented as exact fact.
6. Hardware lifecycle policy prefers safe repair, refurbishment, secondary use, and reuse where possible but never keeps unsupported, insecure, unreliable, or privacy-incompatible hardware in critical production.
7. Hardware/storage reuse requires verified sanitization, cryptographic erasure where applicable, and security-posture validation before reassignment.
8. Consolidation and reuse may not consume protected failover/security capacity, violate tenant isolation, or create unreviewed common-mode failure or single points of failure.
9. Mixnet cover traffic, anonymity delay, E2EE, HSM use, authorization, security monitoring, and other required privacy/security energy costs are protected and cannot be removed merely to reduce environmental impact.
10. Sustainability reports and decisions use aggregate infrastructure evidence and cannot become per-user carbon scoring, user nudging, employee ranking, or behavior-surveillance systems.
11. Cost and carbon are separate dimensions: cheaper infrastructure is not automatically greener, and lower-carbon infrastructure is not automatically acceptable if it violates hard operational constraints.
12. Sustainability engineering integrates with resource efficiency, performance, capacity forecasting, SLOs, resilience, DR, FinOps, residency, desired state, inventory, change/release governance, and organizational ownership without creating an alternate policy bypass.
266. Initial Production Scope
Implement first:
typed SustainabilityScope/SustainabilityDimension
operational energy aggregates
carbon-intensity source/provenance model
carbon-aware scheduling for deferrable background work
renewable-window model
security/privacy/residency-first region filtering
hardware lifecycle state machine
repair/refurbish/reuse/retire policy
storage-device sanitization/reuse evidence
embodied-carbon metadata
resource reuse eligibility
sustainable procurement policy
e-waste disposition tracking
sustainability scenario comparison
release/change integration
privacy-safe environmental dashboards
sustainability testkit
Then add:
advanced provider carbon-data adapters
hardware telemetry integration
environmental capacity forecasting
carbon-aware CI/build scheduling
multi-provider sustainability optimization
lifecycle carbon amortization models
formal deadline/placement verification
267. Definition of Done
Part 114 is complete when:
- sustainability scopes/dimensions are typed
- operational energy is measured in aggregate
- carbon-intensity data has provenance/confidence/freshness
- only deferrable work can be shifted for carbon reasons
- geographic/security/reliability filters precede carbon optimization
- hardware lifecycle supports repair/refurbish/reuse/retirement
- reuse requires sanitization/security validation
- protected redundancy cannot be reclaimed
- sustainability reporting contains no user profiling
- carbon and cost remain separate
- environmental changes are governed through Part 107
- sustainability/privacy/fuzz/formal tests are specified
268. Final Architecture
AGGREGATE INFRASTRUCTURE WORK
│
▼
SUSTAINABILITY POLICY
│
┌──────────────┼──────────────┐
│ │ │
ENERGY HARDWARE CARBON
│ │ │
└──────────────┼──────────────┘
▼
ENVIRONMENTAL DECISION
│
┌─────────────┼─────────────┐
│ │ │
SCHEDULE REUSE PROCURE
│ │ │
└─────────────┼─────────────┘
▼
GOVERNED EXECUTION
Sustainability safety model:
aggregate energy evidence
+
carbon-data provenance
+
deferrable-work scheduling
+
hardware lifetime extension
+
safe reuse/refurbishment
+
e-waste governance
+
security/privacy/residency-first placement
+
multi-dimensional validation
not:
move private workloads anywhere electricity looks greener, keep insecure hardware forever, or assign carbon scores to users
269. Final Principle
Sustainability is the reduction of unnecessary environmental impact without reducing the guarantees the system owes its users.
The correct model is:
measure energy honestly
+
use carbon data with provenance
+
shift only deferrable work
+
reuse hardware safely
+
extend lifetime when support permits
+
recycle/sanitize responsibly
+
preserve redundancy and residency
+
never trade privacy/security for environmental metrics
This architecture gives SIAR a privacy-preserving sustainability foundation for carbon-aware scheduling, operational energy efficiency, hardware lifecycle extension, refurbishment, safe reuse, sustainable procurement, and e-waste governance while preserving the anonymity, local-first, least-authority, reliability, performance, and anti-surveillance guarantees established across Parts 34–113.