CDBM — Competing Demand Balancing Module
Architecture: RSGA™ — Resource Sustainability Governance Architecture
Parent Standard: Resource Prioritization & Allocation Standard (RPAS)
Category: Governance & Enforcement
Subcategory: Resource Governance
Type: Core Module
Governed Space: Competing Resource Demand Balancing Governance
Module ID: RSGA-RPAS-CDBM-05
Origin ID: OOF-RSGA-RPAS-CDBM
Version: 1.0
Status: Draft Module
Effective Date: 6 October 2026
Compatibility: Methodology OS — Modular Compatibility
GIE-Compatible: Yes
AI-Readable: Yes
Authority: OOF® — OriginOpen® Foundation
Protection: Protected Methodological Work
Canonical Language: English
1. Canonical Definition
CDBM — Competing Demand Balancing Module governs how multiple simultaneous or overlapping legitimate Resource demands are balanced within a shared constrained Resource context when available allocable capacity cannot, should not, or need not satisfy every claim in full, including how Priority, minimum requirements, Allocation limits, shared constraints, proportionality, continuity, fairness where applicable, and system-level consequences are reconciled into a coherent Resource distribution.
CDBM governs the balancing problem that exists after individual claims have been characterized but must coexist within the same Resource system.
Its foundational distinction is:
Legitimate Demand ≠ Guaranteed Full Satisfaction.
Its system-level principle is:
Individually Legitimate Allocations ≠ Collectively Feasible Allocation.
2. Operational Role
RPDM determines relative Resource Priority.
RABM establishes the legitimate Allocation Basis.
RALM establishes the permissible Allocation Limits.
RREM governs Reallocation and legitimate exceptions when conditions change.
CDBM governs the simultaneous balancing of multiple legitimate claims within the shared Resource constraint.
Its role is not merely to rank claims.
Its role is to determine whether the combined Resource distribution remains:
feasible; coherent; bounded; proportionate; consistent with Priority; compatible with minimum requirements; compatible with Resource limits; sufficiently stable; traceable.
3. Operational Question
How should multiple simultaneous or overlapping legitimate Resource demands be balanced within the available allocable Resource capacity when they cannot all be fully satisfied, while preserving applicable Priority, minimum requirements, Allocation limits, rights, Access boundaries, continuity requirements, system constraints, and other legitimate governance conditions?
4. Position in RPAS Governance
Canonical progression:
Legitimate Competing Claims → Resource Priority Determination → Allocation Basis → Allocation Limits → Competing Demand Balancing → Governed Resource Distribution → Reallocation / Exception where required → Reassessment
CDBM governs:
Multiple Legitimate Allocation Claims → Balanced Resource Distribution
5. Governed Space
CDBM governs:
Competing Resource Demand Balancing Governance
This space concerns the coherent distribution of constrained Resource capacity across multiple legitimate demands that interact within the same Allocation context.
6. Governed Object
The primary Governed Object is:
A Balanced Resource Distribution across multiple competing legitimate Resource claims within a defined Allocation context.
Canonical relationship:
**Allocable Resource Capacity
Competing Legitimate Demands Resource Priority Profiles Allocation Basis Allocation Limits Shared Constraints → Balancing Logic → Balanced Resource Distribution**
7. Scope
CDBM governs:
competing Demand sets; simultaneous Demand; overlapping Demand; shared Resource constraints; combined Allocation feasibility; Priority-aware balancing; minimum-requirement balancing; maximum-limit preservation; partial satisfaction; proportional distribution; equal-Priority balancing; tie balancing;
minimum-needs protection; shared-capacity distribution; temporal balancing; rotational distribution; spatial balancing; Source balancing; cross-claim constraint interaction; fairness where applicable; continuity balancing; stability; distribution conflict; distribution uncertainty; balancing evidence; balancing reassessment; versioning; traceability.
CDBM does not independently:
create Resource Demand; determine Dependency or Criticality; determine original Resource Priority; establish Allocation Authority; create Resource rights; authorize Resource Access; determine physical Resource Availability; establish ordinary Allocation Limits; govern Consumption efficiency; govern Scarcity as a system state; govern Recovery or Substitution; determine long-term Sustainability.
8. Competing Demand Set
A Competing Demand Set contains two or more legitimate Resource demands that materially interact with the same constrained Resource capacity.
9. Competition Principle
Claims compete where satisfying one claim materially affects the Resource capacity available to another.
10. Competition Boundary
Same Resource Type ≠ Automatically Competing Demand.
Two claims may concern the same Resource type but operate from separate Sources, locations, capacity pools, or time periods.
11. Simultaneous Demand
Simultaneous Demand exists where multiple legitimate claims require Resource capacity during materially overlapping periods.
12. Overlapping Demand
Demands may partially overlap rather than occur at exactly the same time.
CDBM should preserve the relevant temporal structure.
13. Combined Demand
Combined Demand represents the Resource requirement of the relevant competing Demand set within the balancing context.
14. Combined Demand Boundary
Combined Demand ≠ Sum of Maximum Stated Demands by definition.
Concurrency, timing, conditionality, and other Resource-use relationships may materially affect the actual combined requirement.
15. Capacity Sufficiency
CDBM should determine whether allocable capacity is sufficient to satisfy the relevant competing claims within their applicable boundaries.
16. Sufficient Capacity State
Where all legitimate claims can be satisfied within:
Allocable Capacity; Allocation Limits; Resource constraints; other applicable governance boundaries,
balancing may require only consistency validation.
17. Insufficient Capacity State
Where all legitimate demands cannot be satisfied simultaneously, CDBM must determine a governed distribution.
18. Insufficiency Boundary
Insufficient Capacity ≠ Arbitrary Reduction.
Resource shortage does not eliminate the need for governance logic.
19. Collective Feasibility
Each individual Allocation may appear feasible when evaluated alone.
Their combination may not be feasible.
20. Collective Feasibility Principle
Individually Feasible Allocation ≠ Collectively Feasible Allocation.
21. Aggregate Constraint
CDBM should ensure that combined allocations remain within the relevant aggregate Allocable Capacity.
Canonical constraint:
Σ Allocations ≤ Allocable Capacity
unless legitimate governed oversubscription applies.
22. Local Constraint
Aggregate feasibility does not guarantee feasibility at every:
location; network node; Resource Source; infrastructure segment; time interval.
23. Local Feasibility Boundary
Aggregate Feasibility ≠ Local Feasibility.
24. Priority-Aware Balancing
Resource Priority should materially influence balancing where applicable.
Higher Priority may justify preferential Resource protection.
25. Priority Boundary
Higher Priority ≠ Automatic Full Satisfaction.
A high-priority claim may still receive partial Allocation where capacity or other mandatory limits prevent full satisfaction.
26. Priority Ordering
Where Priority ordering exists, CDBM should preserve its legitimate effect during balancing.
27. Priority Classes
Claims within different Priority Classes may receive different balancing treatment where the Allocation framework establishes such treatment.
28. Equal-Priority Claims
Equal-Priority claims require balancing without inventing artificial Priority differences.
29. Equal-Priority Boundary
Equal Priority ≠ Automatically Equal Allocation.
Claims may have different:
Demand; minimum requirements; maximum limits; time windows; rights; technical constraints.
30. Tie Balancing
Where Priority does not distinguish claims, CDBM may apply an authorized balancing mechanism.
31. Balancing Mechanisms
Depending upon the Resource context, legitimate mechanisms may include:
proportional distribution; equal-share distribution; minimum-needs-first distribution; rotation; time slicing; Source differentiation; conditional sequencing; other authorized mechanism.
No mechanism is universally correct.
32. Proportional Distribution
Resource capacity may be distributed proportionally among claims according to an established basis.
33. Proportionality Basis
Proportionality may be based upon:
validated Demand; remaining Demand; rights share; capacity requirement; other legitimate factor.
The basis should remain explicit.
34. Proportionality Boundary
Proportional Distribution ≠ Equal Distribution.
35. Equal Distribution
Equal distribution assigns equivalent Resource shares among relevant claims.
It may be legitimate in some contexts.
36. Equality Boundary
Equal Distribution ≠ Fair Distribution by definition.
37. Minimum-Needs Protection
Where applicable, CDBM may protect minimum Resource requirements before distributing remaining capacity.
38. Minimum Requirement Boundary
Minimum Need ≠ Automatic Guaranteed Allocation.
Minimum protection must arise from the applicable Allocation Basis and Resource conditions.
39. Minimum-Satisfaction Feasibility
CDBM should test whether all applicable protected minimums can be satisfied simultaneously.
40. Minimum Conflict
Where combined protected minimums exceed allocable capacity, a higher-order conflict exists.
41. Minimum Conflict Boundary
Protected Minimums > Allocable Capacity cannot be solved merely by labeling every minimum mandatory.
The conflict requires governed resolution.
42. Maximum Preservation
No balanced distribution should exceed applicable maximum Allocation Limits.
43. Maximum Boundary
Balancing Pressure ≠ Authority to Exceed Maximum Limits.
44. Partial Satisfaction
A legitimate claim may receive only part of its validated Demand.
45. Partial Satisfaction Boundary
Partial Satisfaction ≠ Invalid Demand.
46. Unsatisfied Demand
Part of a legitimate Demand may remain unallocated.
CDBM should preserve that unsatisfied portion where relevant.
47. Unsatisfied Demand Boundary
Unallocated Demand ≠ Nonexistent Demand.
48. Residual Capacity
After protected or higher-priority allocations are established, residual capacity may remain for further distribution.
49. Residual Capacity Boundary
Residual Capacity ≠ Unrestricted Capacity.
Remaining capacity remains subject to applicable Allocation rules and limits.
50. Sequential Balancing
Some Resource systems may allocate capacity sequentially according to governed Priority or decision rules.
51. Parallel Balancing
Other systems may determine all claim allocations simultaneously.
52. Sequential vs Parallel Boundary
Neither sequential nor parallel balancing is universally superior.
The mechanism should fit the Resource context.
53. Temporal Balancing
Resource competition may be reduced by distributing use across time.
Examples include:
scheduling; rotation; time slicing; peak shifting; deferred execution.
54. Temporal Flexibility
A claim capable of shifting Resource use may create balancing flexibility.
55. Temporal Boundary
Deferrable Demand ≠ Low-Importance Demand.
A critical function may still possess scheduling flexibility.
56. Rotational Distribution
Where continuous simultaneous satisfaction is impossible, Resource capacity may rotate among legitimate claims.
57. Rotation Governance
Rotation should preserve:
sequence; duration; minimum service; Priority; transition cost; continuity effects.
58. Spatial Balancing
Resource distribution may be balanced across different locations where Resource transfer or delivery infrastructure permits.
59. Spatial Boundary
A surplus at one location does not solve a deficit elsewhere unless Resource transfer is operationally feasible and legitimately governed.
60. Resource Source Balancing
Multiple Resource Sources may support the same Demand set.
CDBM may balance claims across those Sources where rights, Access, quality, infrastructure, and other constraints permit.
61. Source Boundary
Interchangeable Resource Type ≠ Interchangeable Resource Source.
62. Quality Constraint
Resource quality differences may prevent nominally equivalent quantities from being treated as interchangeable.
63. Shared Capacity
Some Resource capacity may be technically shared among multiple claims.
CDBM should preserve the limits of that sharing.
64. Exclusive Capacity
Some capacity may require exclusive Allocation.
Exclusive capacity should not be simultaneously assigned to multiple incompatible claims.
65. Concurrency
CDBM should preserve the difference between:
nominal Allocation
and:
simultaneous Resource requirement.
66. Concurrency Boundary
Nominal Allocations Within Capacity ≠ Simultaneous Feasibility by definition.
67. Oversubscription
Controlled oversubscription may be legitimate where not all allocated capacity is expected to be exercised simultaneously.
68. Oversubscription Basis
Oversubscription should be supported by:
Demand behavior evidence; concurrency evidence; control mechanisms; fallback mechanisms; risk boundaries.
69. Oversubscription Boundary
Statistical Expectation ≠ Guaranteed Capacity.
70. Continuity Balancing
Balancing should consider whether frequent Resource redistribution creates unacceptable continuity disruption.
71. Continuity Boundary
Mathematically Optimal Distribution ≠ Operationally Sustainable Distribution.
72. Stability
A balanced Resource distribution should remain sufficiently stable for the governed operational context.
73. Stability Boundary
Stable Allocation ≠ Permanent Allocation.
Stability should not prevent legitimate reassessment.
74. Transition Cost
Changing Resource distribution may create:
downtime; migration cost; restart cost; Resource waste; operational risk.
These consequences may be relevant to balancing.
75. Transition Boundary
Better Static Allocation ≠ Better Transition Outcome.
The path from the current state to the target distribution may matter.
76. Fairness
Where fairness is a legitimate governance objective, CDBM should use the defined fairness principle established by the Allocation Basis.
77. Fairness Models
Possible governed models include:
equal-share fairness; proportional fairness; needs-based fairness; rights-based fairness; minimum-service fairness; other defined model.
78. Fairness Boundary
Fairness ≠ One Universal Distribution Formula.
79. Efficiency
Resource efficiency may be relevant to balancing.
It should not silently override:
Priority; rights; minimum requirements; safety; continuity; mandatory limits.
80. Efficiency Boundary
Most Efficient Claim ≠ Automatically Highest Allocation.
81. Value Relevance
VEGA™ may provide validated Value evidence where legitimately included in the Allocation Basis.
CDBM may use that evidence only within the governed decision framework.
82. Value Boundary
Highest Value ≠ Automatic Resource Dominance.
83. Safety Relevance
Balancing should preserve applicable safety-related minimums and constraints.
84. Rights Relevance
Resource rights may establish:
protected shares; minimum entitlements; maximum shares; Source-specific claims; other balancing constraints.
CDBM preserves their effect without creating those rights.
85. Access Relevance
Balanced Resource distribution must remain within legitimate Resource Access boundaries.
86. Access Boundary
Balancing Need ≠ Authority to Expand Access.
87. Scarcity Relevance
Scarcity may materially tighten the balancing problem.
RSCS governs the Scarcity condition.
CDBM governs how the available Allocation context is balanced among legitimate demands.
88. Scarcity Boundary
Scarcity ≠ Suspension of Balancing Governance.
Scarcity increases the importance of explicit balancing.
89. Emergency Balancing
Emergency conditions may require accelerated balancing procedures.
90. Emergency Boundary
Emergency ≠ Arbitrary Resource Distribution.
91. Interdependency
A claim may support other Resource systems or functions.
RIRS evidence may therefore affect system-level balancing.
92. Cascading Effects
Reducing one Allocation may create consequences elsewhere.
CDBM should preserve materially relevant cascading effects.
93. Local Optimization Boundary
Locally Optimal Allocation ≠ Systemically Optimal Distribution.
94. System-Level Coherence
A Balanced Resource Distribution should remain coherent across the relevant Resource system rather than optimizing each claim independently.
95. Multi-Resource Relevance
Some competing demands depend upon multiple Resource types.
CDBM governs only the balancing of the Resource within its RPAS context.
Cross-resource dependencies may require evidence from RIRS or other competent RSGA™ mechanisms.
96. Cross-Resource Boundary
CDBM should not silently convert distinct Resources into one interchangeable quantity.
97. Normalization Boundary
Where normalized Resource significance is used for comparative analysis:
Normalized Significance ≠ Physical Equivalence.
98. Automated Balancing
Automated systems may calculate or execute balancing under governed rules.
99. Automation Boundary
Automated Balancing ≠ Balancing Authority.
100. Optimization
Optimization methods may support Resource balancing.
Examples include:
linear optimization; constraint optimization; multi-objective optimization; scheduling; other computational methods.
101. Optimization Boundary
Optimization Result ≠ Governed Distribution by itself.
The result must remain within the applicable governance constraints.
102. Objective Function
Where optimization is used, the objective function should be explicit.
103. Objective Conflict
Multiple legitimate objectives may conflict.
Examples include:
Priority satisfaction; minimum-needs protection; efficiency; fairness; continuity; resilience; Value; sustainability.
The conflict should not disappear merely because software converts it into a numerical function.
104. Prediction Evidence
PGA™ may provide governed evidence concerning future:
Demand; capacity; Scarcity; Resource conditions.
This may support anticipatory balancing.
105. Prediction Boundary
Predicted Competition ≠ Current Competition.
Future-state evidence should remain temporally explicit.
106. Simulation Evidence
SIMULOS® may compare candidate Balanced Resource Distributions.
107. Simulation Boundary
Best Simulated Distribution ≠ Automatically Governed Distribution.
108. Balancing Conflict
Balancing Conflict exists where applicable requirements cannot be simultaneously satisfied.
109. Conflict Examples
Examples include:
combined minimum requirements exceed capacity; equal-Priority claims cannot all receive required minimums; rights conflict; Source constraints conflict; continuity requirements conflict with Priority ordering; local capacity prevents aggregate distribution.
110. Conflict Preservation
Infeasible Governance Conditions ≠ Permission to Invent Feasible Capacity.
The conflict must remain visible.
111. Escalation
Where balancing conflict cannot be resolved under established rules, the decision should be escalated to competent governance authority.
112. Balancing Uncertainty
Uncertainty may concern:
Demand; concurrency; capacity; Priority; minimum requirements; future Resource conditions; transition consequences.
113. Uncertainty Principle
Uncertain Competition ≠ Certain Distribution.
114. Evidence Sufficiency
CDBM should determine whether evidence is sufficient to support the Balanced Resource Distribution.
115. Evidence Provenance
Material evidence should preserve where relevant:
source; time; Resource; claim; Priority; Allocation Basis; Allocation Limits; balancing rule; version.
116. Balancing State
CDBM should represent the governance state of the Resource balancing process.
117. Minimum Balancing States
At minimum:
Demand Set Identified
Capacity Sufficient
Balancing Required
Balancing In Progress
Balanced Distribution Established
Balanced Distribution Conditional
Partial Satisfaction Required
Minimum Conflict
Balancing Conflicted
Balancing Evidence-Limited
Balancing Unknown
Balancing Unresolved
Balancing Reassessment Required
Balancing Closed
118. Capacity Sufficient
All relevant claims can be satisfied within the applicable Resource constraints.
119. Balancing Required
Allocable capacity or other constraints prevent all claims from being fully satisfied simultaneously.
120. Balanced Distribution Established
A coherent governed Resource distribution has been established across the competing claims.
121. Balanced Distribution Conditional
The distribution remains valid only while defined conditions remain satisfied.
122. Partial Satisfaction Required
At least one legitimate claim must receive less than its validated Demand.
123. Minimum Conflict
Applicable minimum requirements cannot all be satisfied simultaneously.
124. Balancing Conflicted
Materially incompatible balancing requirements remain unresolved.
125. Balancing Evidence-Limited
Available evidence supports only limited-confidence balancing.
126. Balancing Unknown
The relevant Resource distribution cannot currently be determined.
127. Balancing Unresolved
Relevant evidence exists, but a governed distribution cannot yet be finalized.
128. Balancing Reassessment Required
Material changes require the Balanced Resource Distribution to be reconsidered.
129. Balanced Resource Distribution Profile
The principal CDBM output is the:
Balanced Resource Distribution Profile
It represents the coherent Resource distribution across the competing legitimate Demand set.
130. Minimum Balanced Resource Distribution Profile Fields
At minimum:
Balancing ID
Resource ID
Allocation Pool ID
Allocation Period
Allocable Capacity
Competing Claim IDs
Demand References
Priority Profile References
Allocation Basis Reference
Allocation Limit References
Protected Minimums where applicable
Maximum Limits
Balancing Rule
Balancing Objective where applicable
Claim-Level Allocation Outcomes
Unsatisfied Demand by Claim where relevant
Residual Capacity where relevant
Temporal Distribution where relevant
Spatial Distribution where relevant
Resource Source Distribution where relevant
Fairness Basis where applicable
Continuity Constraints
Balancing State
Conflict State
Uncertainty
Evidence Sufficiency
Effective Time
Reassessment Trigger
Version:
131. Claim-Level Balancing Outcome
For each claim, the Balanced Resource Distribution Profile should preserve where relevant:
Claim ID
Validated Demand
Priority
Minimum Requirement
Maximum Limit
Assigned Resource Share
Satisfied Demand
Unsatisfied Demand
Time / Source / Location conditions
Outcome State
132. Demand Satisfaction Ratio
Where useful, CDBM may calculate:
Demand Satisfaction Ratio = Allocated Resource / Validated Demand
The ratio is descriptive.
It does not determine legitimacy by itself.
133. Satisfaction Ratio Boundary
Higher Satisfaction Ratio ≠ Better Governance by definition.
A lower-priority flexible claim may legitimately receive a lower ratio than a critical claim.
134. Residual Demand
CDBM should preserve legitimate Demand remaining after the balanced distribution where relevant.
This supports downstream:
Scarcity analysis; Substitution; Reallocation; continuity planning.
135. Residual Capacity
Unused allocable capacity should remain identifiable.
Unused capacity may exist because:
Demand is lower than capacity; limits prevent further Allocation;
capacity is temporally unusable; claims cannot use the Resource effectively; other constraints apply.
136. Residual Capacity Boundary
Unused Allocable Capacity ≠ Allocation Failure by definition.
137. Balancing Reassessment
CDBM should reassess the Balanced Resource Distribution when material conditions change.
138. Reassessment Triggers
Triggers may include:
Resource Availability change; Demand change; new competing claim; claim removal; Priority change; Allocation Basis change; Allocation Limit change; Scarcity change; Source change; infrastructure change; continuity change; new evidence.
139. Reassessment Boundary
Changed Claim ≠ Automatic Complete Redistribution.
The material system effect should be evaluated.
140. Targeted Rebalancing
Where changes affect only a limited portion of the Demand set, targeted rebalancing may be sufficient.
141. Full Rebalancing
System-wide rebalancing may be required where changes materially affect the entire Allocation context.
142. Balancing Versioning
Material changes should create an updated Balanced Resource Distribution Profile version where required for traceability.
143. Balancing Traceability
Canonical traceability:
Balanced Resource Distribution → Claim-Level Outcomes → Balancing Rule → Allocation Limits → Allocation Basis → Resource Priority Profiles → Validated Demands → Allocable Capacity → Authority
144. Balancing Explainability
A governed system should be able to explain materially:
which claims competed; how much each demanded; what Priority each held; which minimum and maximum boundaries applied; what Resource capacity was available for balancing; which balancing mechanism was used; what each claim received; what remained unsatisfied; why the resulting distribution was selected.
145. Minimum Implementation Framework
A minimum operational CDBM implementation should contain eight governed layers.
Layer 1 — Competing Demand Set
Establish:
Resource Allocation Pool Competing Claims Validated Demands Allocation Period
Layer 2 — Capacity Context
Establish:
Allocable Capacity Local Capacity Source Capacity Temporal Capacity
Layer 3 — Governance Inputs
Consume:
Resource Priority Profiles Allocation Basis Allocation Limits Rights / Access constraints Minimum requirements
Layer 4 — Feasibility
Test:
individual feasibility; collective feasibility; minimum feasibility; local feasibility; concurrency.
Layer 5 — Balancing Logic
Apply the authorized:
Priority rule; proportional rule; minimum-needs rule; rotation; scheduling; optimization; other balancing mechanism.
Layer 6 — Distribution Evaluation
Evaluate:
claim satisfaction; unsatisfied Demand; residual capacity; continuity; fairness where applicable; conflict; uncertainty.
Layer 7 — Evidence & Reassessment
Preserve:
evidence; provenance; effective time; reassessment triggers; version.
Layer 8 — Governed Output
Produce:
Balanced Resource Distribution Profile
Canonical machine-readable logic:
Competing Demands → Allocable Capacity → Priority / Basis / Limits → Collective Feasibility → Balancing Mechanism → Claim-Level Distribution → Conflict / Uncertainty → Balanced Resource Distribution Profile
146. Minimum Decision States
CDBM must support at least:
Capacity Sufficient
Balancing Required
Balancing In Progress
Balanced Distribution Established
Balanced Distribution Conditional
Partial Satisfaction Required
Minimum Conflict
Balancing Conflicted
Balancing Evidence-Limited
Balancing Unknown
Balancing Unresolved
Balancing Reassessment Required
Balancing Closed
147. Minimum Evidence Path
Where a Balanced Resource Distribution cannot be sufficiently determined:
Balancing Unresolved → Material Balancing Gap → Affected Claim / Constraint → Minimum Evidence Requirement → Evidence Acquisition / Verification → Feasibility Reassessment → Balancing Redetermination → Updated Balanced Resource Distribution Profile
148. Minimum Reassessment Framework
At minimum:
Current Balanced Resource Distribution Profile → Material Change → Materiality Test → Affected Claims / Constraints → Evidence Refresh → Collective Feasibility Review → Targeted / Full Rebalancing → Distribution Confirmation / Modification / Conflict → Profile Update → Version Update
149. Governance Requirements
A conforming CDBM implementation must:
1. identify the Resource; 2. identify the Allocation Pool; 3. identify the competing Demand set; 4. preserve validated Demand for each claim; 5. establish whether claims materially compete; 6. preserve simultaneous and overlapping Demand; 7. establish allocable capacity; 8. test capacity sufficiency;
9. test individual Allocation feasibility; 10. test collective Allocation feasibility; 11. preserve aggregate constraints; 12. preserve local constraints; 13. preserve Resource Priority Profiles; 14. preserve Priority ordering where applicable; 15. support equal-Priority claims; 16. support Priority ties; 17. preserve Allocation Basis; 18. preserve Allocation Limits; 19. preserve minimum requirements where applicable; 20. test combined minimum feasibility; 21. preserve maximum limits; 22. support partial satisfaction; 23. preserve unsatisfied Demand; 24. preserve residual capacity; 25. support proportional distribution where authorized; 26. preserve the proportionality basis; 27. support equal distribution where authorized; 28. support minimum-needs protection where authorized; 29. support sequential balancing where applicable; 30. support parallel balancing where applicable; 31. support temporal balancing; 32. support rotational distribution where applicable; 33. support spatial balancing where applicable; 34. support Resource Source balancing where applicable; 35. preserve Resource quality constraints where relevant; 36. preserve shared-capacity constraints; 37. preserve exclusive-capacity constraints; 38. preserve concurrency constraints; 39. govern oversubscription where permitted; 40. preserve continuity requirements; 41. preserve Allocation stability; 42. evaluate transition costs where relevant; 43. preserve defined fairness rules where applicable; 44. preserve efficiency evidence without allowing it to override mandatory constraints; 45. preserve Value evidence only where legitimately applicable; 46. preserve safety constraints; 47. preserve rights constraints; 48. preserve Access boundaries; 49. preserve Scarcity context; 50. support emergency balancing; 51. preserve material interdependencies; 52. evaluate cascading effects where relevant; 53. preserve system-level coherence; 54. prevent inappropriate cross-resource equivalence; 55. govern automated balancing; 56. govern optimization where used; 57. preserve objective functions where applicable; 58. preserve objective conflicts; 59. preserve balancing conflict; 60. support escalation where conflict cannot be resolved; 61. preserve balancing uncertainty; 62. determine evidence sufficiency; 63. preserve evidence provenance; 64. support targeted rebalancing; 65. support full rebalancing; 66. support versioning; 67. preserve balancing traceability; 68. produce a Balanced Resource Distribution Profile.
150. Governance Logic
Canonical CDBM logic:
Competing Legitimate Resource Demands → Allocable Capacity → Resource Priority Profiles → Allocation Basis → Allocation Limits → Individual Feasibility → Collective Feasibility → Minimum / Maximum Constraints → Balancing Rule → Claim-Level Resource Distribution → Unsatisfied Demand / Residual Capacity → Conflict / Uncertainty → Balanced Resource Distribution Profile → Reassessment
151. Governance Outputs
CDBM may produce:
Balanced Resource Distribution Profile
Competing Demand Set
Capacity Sufficiency State
Collective Feasibility State
Minimum Feasibility State
Balancing Rule
Balancing Objective
Claim-Level Allocation Outcome
Partial Satisfaction State
Unsatisfied Demand
Demand Satisfaction Ratio
Residual Capacity
Temporal Distribution
Spatial Distribution
Resource Source Distribution
Rotation Schedule where applicable
Fairness State where applicable
Continuity State
Balancing Conflict State
Balancing Uncertainty
Evidence Sufficiency State
Reassessment Trigger
Version:
152. Failure Conditions
CDBM should not be considered sufficiently completed where:
same Resource type is treated automatically as direct competition; combined Demand is calculated without concurrency or timing context; insufficient capacity leads to arbitrary reduction; individually feasible allocations are assumed to be collectively feasible; aggregate feasibility is treated as local feasibility; higher Priority automatically guarantees full satisfaction; equal Priority automatically means equal Allocation; Priority ties are broken without an authorized balancing mechanism; proportionality is used without defining its basis; equal distribution is treated automatically as fair; minimum needs are treated as guaranteed without governance basis; combined minimums exceed capacity without conflict recognition; balancing pressure overrides maximum limits; partial satisfaction is treated as invalid Demand; unallocated Demand disappears from the governed state; residual capacity is treated as unrestricted capacity; temporal flexibility is interpreted as low importance; rotation ignores continuity effects; Source differences are ignored; Resource quality differences are ignored; exclusive capacity is allocated simultaneously to incompatible claims; nominal Allocation is treated as proof of simultaneous feasibility; oversubscription is based only on statistical expectation without governance controls; mathematical optimization ignores operational continuity; stable Allocation is treated as permanent; transition cost is ignored; fairness is used without a defined model; efficiency overrides mandatory governance constraints; Value automatically determines Resource dominance; balancing expands Access; Scarcity suspends balancing governance; emergency conditions permit arbitrary distribution; local optimization damages system-level coherence; distinct Resources are treated as physically equivalent through normalization; automated balancing is treated as authority; optimization output is treated as a governed decision by itself; objective conflict is hidden inside a numerical function; prediction is represented as current competition; simulation output is treated as decision authority; infeasible conditions are hidden; material uncertainty is suppressed; material changes occur without reassessment.
153. Use Case 1 — AI Data Center GPU Demand Balancing
A data center has:
1,000 GPUs of allocable capacity
during a defined operating period.
Four legitimate workloads compete simultaneously:
Safety-critical inference — Demand 250 GPUs
Customer production inference — Demand 500 GPUs
Model training — Demand 600 GPUs
Research workload — Demand 200 GPUs
Combined stated Demand is:
1,550 GPUs.
RPDM has already established their Priority Profiles.
RABM has established the Allocation Basis.
RALM has established claim-specific minimum and maximum limits.
CDBM determines that all demands cannot be fully satisfied simultaneously.
It evaluates:
Priority; protected minimum requirements; maximum limits; concurrency; temporal flexibility; deferrable training activity; continuity requirements.
A governed Balanced Resource Distribution may protect the safety-critical workload, preserve a production minimum, allocate remaining capacity to training, and defer part of the research Demand.
The exact distribution must arise from the authorized balancing logic.
CDBM does not simply allocate to the largest Demand or highest economic-value workload.
154. Use Case 2 — Regional Water Demand Balancing
A regional water system has constrained daily allocable capacity.
Legitimate simultaneous demands include:
essential household supply; healthcare facilities; agricultural irrigation; industrial production.
Their combined validated Demand exceeds the available allocable water capacity.
CDBM consumes:
Resource Priority Profiles; minimum supply requirements; water rights constraints; Access boundaries; maximum withdrawal limits; Source constraints; seasonal conditions; continuity requirements.
The balancing mechanism may establish:
protected minimum household and healthcare supply; partial agricultural satisfaction; reduced industrial Allocation; time-based irrigation rotation; Source-specific distribution.
Any remaining unsatisfied Demand remains visible rather than disappearing from the governance record.
If Resource Availability later changes materially, the Balanced Resource Distribution is reassessed.
155. Critical Distinctions
Legitimate Demand ≠ Guaranteed Full Satisfaction
Individually Legitimate Allocations ≠ Collectively Feasible Allocation
Same Resource Type ≠ Automatically Competing Demand
Combined Demand ≠ Sum of Maximum Stated Demands by definition
Insufficient Capacity ≠ Arbitrary Reduction
Individually Feasible Allocation ≠ Collectively Feasible Allocation
Aggregate Feasibility ≠ Local Feasibility
Higher Priority ≠ Automatic Full Satisfaction
Equal Priority ≠ Automatically Equal Allocation
Proportional Distribution ≠ Equal Distribution
Equal Distribution ≠ Fair Distribution by definition
Minimum Need ≠ Automatic Guaranteed Allocation
Balancing Pressure ≠ Authority to Exceed Maximum Limits
Partial Satisfaction ≠ Invalid Demand
Unallocated Demand ≠ Nonexistent Demand
Residual Capacity ≠ Unrestricted Capacity
Deferrable Demand ≠ Low-Importance Demand
Interchangeable Resource Type ≠ Interchangeable Resource Source
Nominal Allocations Within Capacity ≠ Simultaneous Feasibility by definition
Statistical Expectation ≠ Guaranteed Capacity
Mathematically Optimal Distribution ≠ Operationally Sustainable Distribution
Stable Allocation ≠ Permanent Allocation
Better Static Allocation ≠ Better Transition Outcome
Fairness ≠ One Universal Distribution Formula
Most Efficient Claim ≠ Automatically Highest Allocation
Highest Value ≠ Automatic Resource Dominance
Balancing Need ≠ Authority to Expand Access
Scarcity ≠ Suspension of Balancing Governance
Emergency ≠ Arbitrary Resource Distribution
Locally Optimal Allocation ≠ Systemically Optimal Distribution
Normalized Significance ≠ Physical Equivalence
Automated Balancing ≠ Balancing Authority
Optimization Result ≠ Governed Distribution by itself
Predicted Competition ≠ Current Competition
Best Simulated Distribution ≠ Automatically Governed Distribution
Infeasible Governance Conditions ≠ Permission to Invent Feasible Capacity
Uncertain Competition ≠ Certain Distribution
Higher Satisfaction Ratio ≠ Better Governance by definition
Unused Allocable Capacity ≠ Allocation Failure by definition
156. Cross-Architecture Boundary
CDBM may consume:
RCHS — Resource identity, Source, state, quality, and context.
RACS — Availability, allocable capacity context, reservations, temporal availability, and accessibility.
RDGS — validated Demand, peak Demand, concurrent Demand, and Demand consolidation evidence.
RDCS — Dependency, Criticality, consequence, and dependency-chain evidence.
RAGS — rights, Access authorization, scope, limits, and continuity evidence.
RPDM — Resource Priority Profiles and Comparative Priority Sets.
RABM — Resource Allocation Basis Profile.
RALM — Resource Allocation Limit Profiles.
RREM — Reallocation and Exception Profiles where an existing distribution is being changed.
RCUS — historical Consumption and Utilization evidence without allowing historical Consumption to establish entitlement.
RSCS — Scarcity and Constraint states.
RSFS — substitution and temporal flexibility evidence.
RIRS — interdependency and resilience evidence.
RCSS — continuity and sustainability constraints.
GOA™ — Allocation and balancing authority evidence.
OBIDENITY® — identity, rights, ownership, authority, permission, and provenance evidence.
ORA™ — actual operational Resource and infrastructure conditions.
PGA™ — governed future Demand and capacity evidence.
SIMULOS® — candidate Resource distribution simulations.
VEGA™ — validated Value and efficiency evidence where legitimately applicable.
CDBM does not absorb these mechanisms.
157. Cross-Architecture Mechanism Principle
An operational mechanism may produce inputs for multiple governance architectures, but it belongs only to the architecture whose governed domain includes that mechanism itself. Other architectures govern only its domain- specific relevance or consequences.
RDGS establishes Resource Demand and concurrency.
RDCS establishes Dependency and Criticality.
RAGS establishes Resource Access and rights boundaries.
RPDM establishes Resource Priority.
RABM establishes the Allocation Basis.
RALM establishes Allocation Limits.
RREM governs changes and exceptions.
CDBM governs how multiple legitimate Resource demands are reconciled into one coherent distribution within the shared constrained Resource context.
158. Canonical Boundary
CDBM governs the balancing of multiple simultaneous or overlapping legitimate Resource demands within a shared constrained Resource context, including collective feasibility, Priority-aware distribution, minimum and maximum constraints, partial satisfaction, proportionality, temporal and Source balancing, fairness where applicable, continuity, conflict, uncertainty, evidence, and reassessment.
It does not create Resource Demand, determine Dependency or Criticality, establish original Resource Priority, create Resource rights, authorize Resource Access, determine physical Availability, establish Allocation Authority, define ordinary Allocation Limits, govern actual Consumption efficiency, determine Scarcity Governance as a whole, or establish long- term Resource Sustainability.
Its principal governed output is the Balanced Resource Distribution Profile .
159. Canonical Closing Statement
Resource governance is not complete when every claim is legitimate in isolation. It must also remain coherent when those legitimate claims compete for the same finite capacity.
CDBM governs that collective boundary — ensuring that constrained Resource capacity is balanced across competing demands without allowing size, speed, technical capture, optimization, or isolated claim legitimacy to substitute for a governed system-level distribution.