Resource Demand Governance Standard (RDGS)
Architecture: RSGA™ — Resource Sustainability Governance Architecture
Category: Governance & Enforcement
Subcategory: Resource Governance
Type: Parent Standard
Governed Space: Resource Demand Governance
Standard ID: RSGA-RDGS-03
Origin ID: OOF-RSGA-RDGS
Version: 1.0
Status: Draft Standard
Effective Date: 5 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
Resource Demand Governance Standard (RDGS) is the Parent Standard within RSGA™ that governs how Resource Demand is identified, bounded, classified, quantified, temporally structured, functionally contextualized, evidenced, consolidated, and reassessed so that requests, forecasts, preferences, installed capability, historical consumption, unconstrained aspirations, and nominal requirements are not automatically treated as validated Resource Demand.
RDGS establishes the governed Demand State required before Resource Dependency, Criticality, Access, Prioritization, Allocation, Consumption, Scarcity, and Sustainability governance can proceed reliably.
Requested Resource ≠ Governed Resource Demand.
2. Operational Role
RCHS establishes what Resource is being governed.
RACS establishes what Resource capacity is actually available, usable, reserved, temporally applicable, and practically accessible.
RDGS establishes the demand side of that Resource reality.
Its operational role is to determine:
who or what requires the Resource; which Resource is required; for what function; how much is required; when it is required; for how long; at what location; under which operating conditions; whether the Demand is fixed, variable, recurring, conditional, or event-driven; which evidence supports it; and what uncertainty remains.
RDGS prevents Resource governance from treating every expressed request or projected requirement as equivalent Demand.
3. Core Question
What Resource is actually required, by which Resource-dependent function or system, in what quantity or capacity, at what time and location, under which conditions, and with what evidence?
4. Position in Architecture Governance Flow
Resource Characterization → Resource Availability & Capacity → Resource Demand → Resource Dependency & Criticality → Resource Access → Resource Prioritization & Allocation → Resource Consumption & Utilization
→ Resource Scarcity & Constraint → Resource Recovery & Circularity → Resource Substitution & Flexibility → Resource Interdependency & Resilience → Resource Continuity & Sustainability
RDGS establishes Demand before the architecture determines how strongly a participant, function, or system depends upon the Resource or how critical that dependency is.
5. Governed Space
The Governed Space is:
Resource Demand Governance
This space concerns the identification and representation of Resource requirements before those requirements are converted into Dependency, Priority, Access, Allocation, Consumption, Scarcity, or Sustainability decisions.
6. Governed Object
The primary Governed Object is:
A Resource Demand or Resource Demand System associated with a sufficiently characterized Resource and an identifiable Resource-dependent function, system, process, participant, or operational requirement.
The Governed Object may concern:
Resource quantity; Resource capacity; Resource flow; Resource throughput; Resource availability window; Resource quality requirement; Resource performance requirement; Resource location requirement; Resource continuity requirement; Resource-dependent operational requirement.
7. Scope
RDGS applies to Resource Demand involving finite, regenerative, recoverable, flow-constrained, capacity-constrained, strategically concentrated, and otherwise materially constrained Resources or Resource capacities governed through RSGA™.
Its Scope includes:
Demand identification; Demand boundary; Demand source; Demand function; Demand quantity; Demand capacity; Demand rate; Demand duration; Demand timing; Demand location; Demand quality requirements; Demand performance requirements; fixed Demand; variable Demand; baseline Demand;
peak Demand; recurring Demand; conditional Demand; event-driven Demand; planned Demand; future Demand; Demand evidence; Demand uncertainty; Demand aggregation; Demand disaggregation; Demand concurrency; Demand interaction; Demand change; Demand reassessment.
RDGS does not independently determine:
Resource Dependency; Resource Criticality; Resource Access authorization; Resource Priority; Resource Allocation; Resource Consumption; Scarcity State; Substitution decisions; Resilience; long-term Sustainability.
8. Resource Demand Definition
Resource Demand is a governed representation of Resource quantity, capacity, flow, performance, or other Resource capability required by an identifiable Resource-dependent function or system under defined conditions.
Demand requires more than an expressed desire for Resource.
It requires sufficient representation of:
Resource Function Quantity or capacity Time Location where relevant Conditions Evidence
9. Demand Is Not a Request
A Resource request may initiate Demand governance.
It does not complete it.
Resource Request ≠ Resource Demand.
A request may be:
overstated; understated; duplicated; obsolete; conditional; unsupported; incorrectly bounded; based on an invalid Resource assumption.
10. Demand Is Not Consumption
Historical or current Resource Consumption may provide evidence relevant to Demand.
Consumption is not Demand itself.
Resource Consumption ≠ Resource Demand.
A system may consume:
more than required; less than required; inefficiently; opportunistically; under temporary constraints.
11. Demand Is Not Allocation
Allocated Resource quantity reflects a governance decision.
It does not establish the underlying Resource requirement.
Allocated Resource ≠ Resource Demand.
12. Demand Is Not Availability
Resource Demand may exceed, equal, or fall below Resource Availability.
RDGS must not reshape Demand merely because Resource Availability is constrained.
Demand ≠ Availability.
13. Demand Independence Principle
Demand should first be represented according to the governed Resource requirement.
Availability constraints are subsequently compared against Demand.
Otherwise:
Resource shortage may be hidden by artificially reducing Demand representation.
14. Demand Source
Every material Demand should identify the system, function, process, participant, infrastructure, or other governed source from which the Resource requirement originates.
15. Demand Origin vs Resource Origin
The origin of Demand is distinct from the Origin or Source of the Resource.
Demand Origin ≠ Resource Origin.
16. Demand Function
Demand should identify the function for which the Resource is required.
Examples:
Compute for model execution
Electricity for cooling
Water for industrial processing
Material for manufacturing
Network capacity for data transfer
Storage for operational continuity
Without function, Demand significance may be ambiguous.
17. Functional Demand
Functional Demand represents the Resource requirement necessary to perform a defined function under stated conditions.
18. Function-Specific Demand
The same Resource may support several functions with materially different requirements.
Demand should remain function-specific where those differences matter.
19. Demand Boundary
A Demand Boundary defines what Resource requirement is included within the governed Demand.
It prevents unrelated requirements from being merged into one Demand object.
20. Demand Boundary Integrity
Demand boundaries should follow the Resource-dependent operational reality rather than analytical convenience.
21. Demand Unit
Demand should be expressed in the Resource's native or technically appropriate unit where possible.
Examples:
m³/day
MW
MWh
tonnes
GPU-hours
storage capacity
bandwidth
throughput
22. Demand Quantity
Demand Quantity represents the amount of Resource required within the defined Demand conditions.
23. Demand Capacity
Some Demand is better represented as required capacity rather than accumulated quantity.
Example:
50 MW continuously
is methodologically different from:
50 MWh total energy.
24. Demand Rate
Flow-constrained Resources may require Demand Rate representation.
Examples:
m³/hour
MW
transactions/second
GB/s
Total quantity alone may be insufficient.
25. Quantity vs Rate
Required Quantity ≠ Required Flow Rate.
A Resource System may contain sufficient total quantity while failing to meet the required delivery rate.
26. Demand Duration
Demand Duration represents how long the Resource requirement applies.
27. Demand Window
A Demand Window identifies the period during which Resource capacity is required.
Canonical representation:
Demand Start → Required Capacity → Demand End
28. Demand Timing
Demand must preserve when Resource is required where timing materially affects Resource governance.
29. Demand and Temporal Availability
RDGS Demand timing may be compared against the TAVM Temporal Availability Profile.
Annual Resource Availability ≠ Resource Availability at Time of Demand.
30. Demand Location
Demand may be location-specific.
Resource required at one location cannot automatically be satisfied by Resource capacity available elsewhere.
31. Demand and Practical Accessibility
Demand location may be compared against LAAM outputs.
Resource Available Somewhere ≠ Resource Accessible Where Demanded.
32. Demand Quality Requirement
A function may require a defined Resource quality.
Demand should preserve that requirement where material.
33. Demand Performance Requirement
Demand may include Resource-performance conditions.
Examples:
Compute performance
Network latency
Water quality
Material grade
Power quality
34. Functional Requirement vs Resource Quantity
Resource quantity alone may not satisfy Demand if the Resource fails the required functional conditions.
35. Fixed Demand
Fixed Demand remains substantially constant within the relevant governance interval.
36. Variable Demand
Variable Demand changes through time, operational state, workload, environmental condition, or another relevant variable.
37. Baseline Demand
Baseline Demand represents a defined underlying Resource requirement used as a reference.
The methodology used to establish the baseline must remain explicit.
38. Peak Demand
Peak Demand represents the highest Resource requirement during the relevant period.
Peak Demand ≠ Average Demand.
39. Minimum Demand
Minimum Demand may represent the lowest Resource requirement necessary to maintain a defined function.
It does not automatically establish Criticality.
40. Average Demand
Average Demand may summarize Resource requirements over time.
It must not replace temporal structure where peak or continuity requirements matter.
Average Demand ≠ Demand at Every Moment.
41. Continuous Demand
Continuous Demand requires Resource capacity without material interruption across the defined interval.
42. Intermittent Demand
Intermittent Demand applies only during particular intervals.
43. Recurring Demand
Recurring Demand repeats according to a relevant operational or temporal pattern.
44. Seasonal Demand
Demand may vary seasonally.
Examples may include:
Cooling
Heating
Water
Agricultural Resources
Electricity
45. Event-Driven Demand
Demand may arise following a defined event.
Examples:
Emergency response
System failure
Recovery operation
Demand surge
Infrastructure outage
46. Conditional Demand
Conditional Demand becomes applicable only when specified conditions occur.
47. Standby Demand
A system may require Resource capacity to remain available for possible activation without continuous consumption.
Standby Demand must remain distinguishable from active Demand.
48. Active Demand
Active Demand represents Resource capacity currently required for the governed function.
49. Potential Demand
Potential Demand may become active under defined future conditions.
Potential Demand ≠ Active Demand.
50. Nominal Demand
Nominal Demand represents a stated, rated, configured, or administratively defined Resource requirement.
Nominal Demand may differ from actual governed Demand.
51. Installed Capability vs Demand
Installed system capacity may imply a maximum possible Resource requirement.
It does not establish actual Demand.
Installed Capability ≠ Resource Demand.
52. Maximum Theoretical Demand
Maximum theoretical Resource consumption or capacity requirement may be useful as a boundary.
It must not automatically be represented as operational Demand.
53. Actual Operational Demand
Actual Operational Demand reflects the Resource requirement associated with the real governed function under current relevant conditions.
54. Requested Demand
Requested Demand is the Resource amount or capacity explicitly requested by a participant, system, or process.
It remains subject to governance.
55. Declared Demand
Declared Demand is Demand asserted by a Resource-dependent actor or system.
Declared Demand ≠ Validated Demand.
56. Measured Demand
Measured Demand may be derived from direct Resource-system measurements.
Measurement context must remain explicit.
57. Derived Demand
Demand may be derived from sufficiently governed operational parameters.
The derivation method must remain traceable.
58. Estimated Demand
Demand may be estimated where direct measurement is unavailable.
Its epistemic status must remain explicit.
59. Predicted Demand
Future Demand may be predicted.
Predicted Demand ≠ Current Demand.
PGA™ retains Prediction Governance.
60. Simulated Demand
Simulation may produce Demand under hypothetical conditions.
Simulated Demand ≠ Observed Demand.
SIMULOS® retains Simulation Governance.
61. Assumed Demand
Assumed Demand must remain explicitly identified.
Demand Assumption ≠ Demand Evidence.
62. Planned Demand
Planned Demand represents Resource requirements associated with a future operational plan.
Planned Demand ≠ Current Demand.
63. Committed Demand
A participant or system may commit to future Resource use.
Commitment does not establish actual future physical Demand with certainty.
64. Future Demand Classification
Where relevant, RDGS should distinguish:
Planned
Committed
Expected
Predicted
Scenario-Based
Simulated
Assumed
future Demand.
65. Demand Evidence
Demand should be supported by evidence proportionate to its governance significance.
Evidence may include:
Operational measurements
Technical specifications
Workload data
Production requirements
Process requirements
Historical Resource use
Validated operational plans
Resource-dependent system states
66. Evidence Provenance
Demand evidence should remain traceable to:
Demand source
Resource
Function
Measurement or derivation
Time
Location
Method
Evidence source
67. Evidence Freshness
Demand may change.
Evidence freshness must reflect the rate at which the relevant Demand conditions can materially change.
68. Historical Consumption Evidence
Historical Consumption may support Demand estimation.
It must not automatically become current Demand.
Historical Consumption ≠ Current Resource Demand.
69. Historical Peak
Historical Peak Consumption may inform Demand boundaries.
It does not establish that the same peak will recur.
70. Demand Evidence Sufficiency
Demand evidence is sufficient when it adequately supports the Resource requirement for the relevant downstream governance purpose.
71. Demand Uncertainty
Demand uncertainty may concern:
Quantity
Capacity
Timing
Duration
Location
Function
Quality
Performance
Future operating conditions
72. Uncertainty Propagation
Material Demand uncertainty must propagate downstream until resolved or legitimately bounded.
Uncertain Demand must not become certain Priority or Allocation input without preserving that uncertainty.
73. Demand Range
Where exact Demand cannot legitimately be established, RDGS may represent a governed range.
Governed Demand Range ≠ False Precision.
74. Demand Conflict
Demand Conflict exists where credible evidence supports materially incompatible representations of the same Demand.
75. Demand Conflict Resolution
Canonical logic:
**Demand Claim A
Demand Claim B → Resource Check → Function Check → Boundary Check → Time Check → Location Check → Measurement-Basis Check → Evidence Comparison → Resolution or Preserved Conflict**
76. Demand Duplication
The same Resource requirement must not be counted multiple times merely because it appears in multiple systems, requests, departments, plans, or records.
77. Duplicate Demand Detection
Potential duplication should be evaluated through:
Demand identity
Resource identity
Function
Participant or system
Time
Location
underlying operational requirement
78. Shared Demand
Multiple functions may depend upon the same Resource capacity.
Shared Resource requirements must not automatically be treated as independent additive Demand.
79. Concurrent Demand
Demand is Concurrent where multiple Resource requirements apply at the same time and require simultaneously available capacity.
80. Non-Concurrent Demand
Demand occurring at different times must not automatically be aggregated as simultaneous Demand.
Demand A at Time 1 + Demand B at Time 2 ≠ Simultaneous Demand.
81. Demand Aggregation
Demand may be aggregated where:
Resource identity is compatible; measurement basis is compatible; time alignment is valid; location relationship is valid; functions can legitimately be combined; double-counting is prevented.
82. Demand Disaggregation
Aggregate Demand should be disaggregated where materially different:
functions; times; locations; quality requirements; participants; operational states
would otherwise be hidden.
83. Demand Portfolio
A Resource System may contain multiple governed Demand objects forming a Demand portfolio.
The portfolio must preserve the identity and relevant conditions of constituent Demand.
84. Demand Stack
Where several Demand objects apply simultaneously, RDGS may represent a Demand Stack.
This does not determine their relative priority.
85. Demand Interaction
Demand objects may interact.
One Demand may:
increase another Demand; reduce another Demand; replace another Demand; activate another Demand; share capacity with another Demand.
86. Demand Coupling
Two Resource requirements may be operationally coupled.
Their relationship should remain explicit where independent representation would distort Resource reality.
87. Cross-Resource Demand
A function may require several Resources simultaneously.
Example:
**AI compute
electricity cooling network capacity**
Each remains a distinct Resource Demand.
Their operational relationship may be preserved.
88. Resource Bundle Requirement
Where several Resources are jointly necessary for a function, RDGS may represent the relationship as a Resource bundle without treating physically different Resources as equivalent.
89. Cross-Resource Demand Equivalence Boundary
Joint Requirement ≠ Resource Equivalence.
Different Resources retain their native characteristics and measurement.
90. Supporting Resource Demand
A Resource function may generate secondary Resource Demand.
Example:
Compute Demand → Electricity Demand + Cooling Demand
These derived demands should remain traceable to the originating function.
91. Demand Cascade
One Resource requirement may create additional Resource requirements through supporting systems.
RDGS should preserve material Demand cascades.
92. Demand Amplification
Operational design may amplify Resource Demand.
Examples may include:
Conversion losses
Cooling overhead
Processing requirements
Transport requirements
The underlying mechanism remains within its competent domain.
RDGS governs the resulting Demand representation.
93. Demand Reduction
Demand may decrease because of:
Operational change
Efficiency improvement
Workload reduction
Process redesign
Function termination
The change must be evidenced.
94. Efficiency Boundary
Reduced Resource Consumption does not necessarily mean the underlying Demand has changed.
Efficiency may allow the same function to be satisfied with lower Resource requirement.
Where this changes actual Resource requirement, RDGS may update Demand.
VEGA™ retains relevant Value and efficiency governance.
95. Demand Suppression
Observed Consumption may fall below Demand because Resource is unavailable or constrained.
Low Consumption ≠ Low Demand.
This distinction is essential in constrained Resource systems.
96. Unmet Demand
Unmet Demand is governed Demand that is not satisfied by available or allocated Resource capacity.
RDGS may preserve the Demand state.
Downstream governance determines response.
97. Partially Met Demand
Only part of governed Demand may be satisfied.
The unsatisfied portion should remain visible.
98. Met Demand
A Demand may be satisfied for the relevant Resource conditions.
Demand satisfaction does not establish efficient Consumption or long-term Sustainability.
99. Demand Satisfaction Boundary
Demand Satisfied ≠ Resource Use Sustainable.
100. Demand vs Dependency
Demand describes the Resource requirement.
Dependency describes how strongly a function or system relies upon that Resource.
Resource Demand ≠ Resource Dependency.
RDCS owns Dependency governance.
101. Demand vs Criticality
Large Demand does not automatically imply high Criticality.
High Demand ≠ High Criticality.
102. Demand vs Priority
Demand magnitude does not determine Priority.
High Demand ≠ High Resource Priority.
RPAS owns Prioritization & Allocation.
103. Demand vs Access
Demand does not establish entitlement or authorization to access Resource.
Resource Demand ≠ Resource Access Right.
RAGS owns Resource Access Governance.
104. Demand vs Allocation
A validated Demand may receive:
full allocation; partial allocation; no allocation.
RDGS does not decide which.
105. Demand vs Consumption
Consumption occurs after Resource use.
Demand remains the Resource requirement.
Required Resource ≠ Consumed Resource.
106. Demand vs Scarcity
Demand may contribute to Scarcity when compared with Resource capacity and other conditions.
RDGS does not establish Scarcity State.
107. Demand vs Sustainability
Legitimate Demand may still be unsustainable to satisfy at the requested scale or over the requested horizon.
Legitimate Demand ≠ Sustainable Resource Use.
108. Demand vs Value
High economic or operational Value may influence other governance domains.
It does not redefine the Resource quantity actually required.
109. Demand vs Willingness to Pay
Willingness to pay for Resource does not establish Resource Demand legitimacy, Criticality, or Priority.
110. Demand vs Installed Capacity
A facility designed to consume 100 MW does not necessarily currently demand 100 MW.
Installed Consumption Capacity ≠ Actual Resource Demand.
111. Demand vs Maximum Capability
Maximum system capability is a boundary on possible Demand, not evidence of current Demand.
112. Demand vs Preference
A preference for additional Resource capacity is not automatically a functional requirement.
Resource Preference ≠ Resource Demand.
113. Demand vs Convenience
Resource use that improves convenience may create a Resource request.
Its actual governed Demand must still be represented according to the Resource-dependent function.
114. Demand Necessity Boundary
RDGS identifies Resource requirement.
It does not determine societal or moral necessity.
RDCS and downstream governance determine Dependency and Criticality according to their governed domains.
115. Demand State
At minimum, RDGS may distinguish:
Active Demand
Standby Demand
Conditional Demand
Recurring Demand
Variable Demand
Future Demand
Partially Evidenced Demand
Demand Evidence-Limited
Demand Conflicted
Demand Unknown
Demand Unresolved
116. Demand Sufficiency
A Demand representation is sufficiently governed when enough evidence exists to support downstream Dependency & Criticality governance.
Possible states:
Demand Sufficiently Established
Conditionally Established
Partially Established
Evidence-Limited
Conflicted
Insufficient
Unresolved
117. Demand Profile
The principal RDGS output is the:
Resource Demand Profile
It should establish:
Resource required; Demand source; Demand function; quantity or capacity; rate where relevant; time; duration; location; quality or performance conditions; Demand type; evidence; uncertainty; sufficiency.
118. Minimum Resource Demand Profile
A minimum Resource Demand Profile should support:
Demand ID
Resource ID
Demand Source
Resource Function
Demand Quantity / Capacity
Native Measurement
Demand Rate where relevant
Demand Start
Demand End / Duration
Demand Location
Quality Requirement where relevant
Performance Requirement where relevant
Demand Type
Demand State
Evidence Basis
Evidence Time
Uncertainty
Sufficiency State
Version:
119. Demand Change
Demand may change without Resource Availability changing.
Examples:
Workload increase
Production reduction
Function activation
Emergency event
Operational redesign
Seasonal transition
120. Demand Change Event
A material Demand change may include:
Demand creation
Demand activation
Demand increase
Demand decrease
Demand suspension
Demand termination
Demand timing change
Demand location change
Demand-function change
Demand-quality change
121. Demand Reassessment Trigger
RDGS reassessment should occur following material:
Operational change
Function change
Workload change
Demand evidence update
Evidence expiry
Demand schedule change
Location change
Quality requirement change
Performance requirement change
Event activation
Demand conflict discovery
122. Reassessment Logic
Canonical logic:
Existing Resource Demand Profile → New Evidence / Material Change → Demand Impact Test → Demand Retained or Revised → Version Update → Downstream RDCS Reassessment
123. Demand Versioning
Material Demand revisions should preserve:
Previous Demand
New Demand
Changed quantity or capacity
Changed function
Changed time
Changed location
Reason
Evidence
Effective time
124. Demand History
Demand history may support:
Audit
Planning
Prediction
Capacity analysis
Demand-pattern analysis
Governance reassessment
Historical Demand must remain distinguishable from current Demand.
125. Demand Comparability
Demand objects should be compared only where relevant:
Resource
function
measurement
time
location
quality
performance
are sufficiently compatible.
126. Cross-System Demand Comparability
Two systems requesting the same Resource quantity may represent materially different Resource requirements.
Same Resource Quantity ≠ Same Demand Context.
127. Cross-Time Demand Comparability
Demand comparisons across time must preserve material changes in operating conditions and Resource function.
128. Cross-Location Demand Comparability
Demand at different locations may carry different practical Resource requirements because of infrastructure, quality, climate, process, or other contextual conditions.
129. Native Demand Measurement
RDGS preserves Resource-native Demand measurement.
It does not replace physical Resource requirements with a universal cross-Resource unit.
130. Normalization Boundary
Normalized Resource significance may support other RSGA™ governance where methodologically established.
It must not erase native Demand.
Native Resource Demand ≠ Normalized Resource Significance.
131. Demand Validation Boundary
RDGS governs Demand evidence and sufficiency within Resource Demand Governance.
It does not replace general Validation Governance.
VALIDOS™ retains general Validation methodology where applicable.
132. Prediction Boundary
Future Demand Predictions may be consumed by RDGS.
PGA™ retains governance of:
Prediction methodology
Prediction assumptions
Probability
Uncertainty
Prediction formation
RDGS preserves the resulting Demand Prediction as a future-state input.
133. Simulation Boundary
Simulated Resource Demand may support scenario analysis.
SIMULOS® retains Simulation Governance.
RDGS must preserve that the Demand is simulated.
134. Operational Reality Boundary
Observed operational Resource requirements may provide strong Demand evidence.
ORA™ retains general Operational Reality governance.
135. Value Governance Boundary
VEGA™ may determine the Value or efficiency associated with Resource use in intelligent systems.
RDGS determines Resource Demand.
Resource Demand ≠ Resource Value.
136. Resource Availability Boundary
RACS determines what Resource capacity is available.
RDGS determines what Resource capacity is required.
Neither should redefine the other merely to make the system appear balanced.
137. Availability-Demand Comparison
A fundamental downstream relationship is:
Governed Resource Availability & Capacity ↔ Governed Resource Demand
Possible states may include:
Capacity exceeds Demand
Capacity approximately matches Demand
Demand exceeds Capacity
Comparison unresolved
RDGS does not independently determine Scarcity from this comparison.
138. Demand-Capacity Gap
Where governed Demand exceeds relevant Resource capacity, a Demand-Capacity Gap may be identified.
The gap is evidence for downstream governance.
It is not itself an Allocation decision.
139. Capacity Surplus Relative to Demand
Where Resource capacity exceeds Demand, the difference may be represented.
Surplus does not automatically imply unrestricted availability for other users or future periods.
140. Dynamic Demand-Capacity Relationship
Resource Availability and Demand may both change.
Therefore:
Availability × Demand × Time × Location
may need to be evaluated together.
141. Governance Requirements
A conforming RDGS implementation must:
1. identify the demanded Resource; 2. identify Demand source; 3. identify Resource-dependent function; 4. establish Demand boundary; 5. preserve native measurement; 6. determine quantity or capacity; 7. determine Demand rate where relevant; 8. preserve Demand timing; 9. preserve Demand duration; 10. preserve Demand location where material; 11. preserve quality requirements; 12. preserve performance requirements; 13. distinguish fixed from variable Demand; 14. distinguish active from conditional and standby Demand; 15. distinguish current from future Demand; 16. distinguish measured, derived, estimated, predicted, simulated, planned, declared, and assumed Demand where material;
17. preserve evidence provenance; 18. preserve evidence freshness; 19. prevent Demand double-counting; 20. distinguish concurrent from non-concurrent Demand; 21. preserve cross-Resource Demand relationships where material; 22. preserve Demand uncertainty; 23. preserve Demand conflict; 24. support Demand sufficiency determination; 25. distinguish Demand from Dependency; 26. distinguish Demand from Criticality; 27. distinguish Demand from Access; 28. distinguish Demand from Priority and Allocation; 29. support reassessment and versioning; 30. produce a governed Resource Demand Profile.
142. Governance Logic
Canonical RDGS logic:
**Characterized Resource
Resource Availability & Capacity Context → Demand Source → Resource Function → Demand Boundary → Quantity / Capacity → Demand Rate → Quality / Performance Requirements → Time → Duration → Location → Demand Type → Concurrency / Interaction → Evidence → Uncertainty → Sufficiency → Resource Demand Profile**
Where Demand is unresolved:
Demand Question → Evidence Gap → Minimum Evidence Requirement → Evidence Acquisition → Demand Reassessment
Where Demand changes:
Existing Resource Demand Profile → Material Change → Demand Impact Test → Revised Demand → Version Update → Downstream Governance Reassessment
143. Governance Outputs
RDGS may produce:
Resource Demand Profile
Demand State
Demand Source State
Demand Function
Demand Quantity
Demand Capacity
Demand Rate
Demand Window
Demand Location
Demand Quality Requirement
Demand Performance Requirement
Demand Type
Demand Concurrency State
Demand Interaction State
Demand Evidence State
Demand Uncertainty State
Demand Conflict State
Demand Sufficiency State
Demand-Capacity Gap Input
Demand Version
Reassessment Trigger
RDCS Handoff State
144. Demand Sufficiency Gate
A Demand object should proceed into Resource Dependency & Criticality governance only when sufficiently characterized for that purpose or when unresolved limitations remain explicitly preserved.
Progression does not erase Demand uncertainty.
145. Failure Conditions
RDGS should not be considered sufficiently completed where:
a Resource request is automatically treated as Demand; installed capacity is automatically treated as Demand; historical Consumption is automatically treated as current Demand; maximum theoretical Resource use is treated as actual Demand; Demand function is materially undefined; Demand quantity is unsupported; Demand timing is ignored where material; Demand location is ignored where material; quality or performance requirements are ignored; peak Demand is represented as average Demand or vice versa; non-concurrent Demand is added as simultaneous Demand; duplicate Demand is counted multiple times; future Demand is represented as current Demand;
predicted Demand is represented as observed Demand; simulated Demand is represented as actual Demand; assumed Demand is represented as evidenced Demand; low Consumption caused by Resource constraint is interpreted automatically as low Demand; Demand is confused with Dependency; Demand is confused with Criticality; Demand is treated as entitlement; Demand is treated as Priority; Demand is treated as Allocation; material uncertainty is hidden; stale Demand evidence is treated as current.
146. Cross-Architecture Boundary
RDGS governs Resource Demand within RSGA™.
It may consume evidence or outputs from:
RCHS for Resource Characterization; RACS for Resource Availability & Capacity; PGA™ for future Demand Predictions; SIMULOS® for simulated Demand; ORA™ for Operational Reality; VEGA™ for relevant Value and efficiency outputs; specialized Resource domains for Resource-specific technical requirements.
It does not absorb their governed mechanisms.
147. 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.
A workload-management system may produce compute requirements.
A production system may produce material requirements.
A building system may produce electricity or cooling requirements.
A hydrological model may produce future water-demand estimates.
RDGS consumes those outputs to establish governed Resource Demand.
It does not absorb the mechanisms that produced them.
148. Relationship to Resource Availability & Capacity
RACS establishes:
What Resource capacity is actually available?
RDGS establishes:
What Resource capacity is actually required?
Neither substitutes for the other.
This distinction creates the basis for later governance of Dependency, Criticality, Access, Allocation, Scarcity, Resilience, and Sustainability.
149. Relationship to Resource Dependency & Criticality
RDGS provides the governed Resource Demand Profile.
RDCS determines what that Resource requirement means for dependency and consequence.
A large Demand may be operationally flexible.
A small Demand may support a critical function.
Therefore:
Demand Magnitude ≠ Dependency Severity ≠ Criticality.
150. Relationship to Resource Access
Demand does not establish permission to access Resource.
RAGS determines Access governance.
151. Relationship to Resource Prioritization & Allocation
RDGS supplies governed Demand objects.
RPAS determines how competing Resource requirements should be prioritized and allocated under its own governance logic.
152. Relationship to Consumption & Utilization
RCUS determines what Resource was actually consumed and how it was utilized.
Comparison between governed Demand and actual Consumption may reveal:
under-consumption; over-consumption; efficiency change; unmet Demand; operational divergence.
RDGS itself does not govern Consumption.
153. Relationship to Scarcity & Constraint
RSCS may consume:
Resource Availability & Capacity
and:
Resource Demand
along with other relevant Resource conditions.
Demand-Capacity imbalance alone should not silently collapse the broader Scarcity governance problem.
154. Relationship to Continuity & Sustainability
RCSS governs long-term Resource Continuity & Sustainability.
A Resource Demand may be fully evidenced and operationally legitimate while remaining impossible to sustain indefinitely.
155. Minimum Demand Governance Principle
At minimum, no material Resource Demand should enter downstream governance without sufficient representation of:
What Resource?
For what function?
How much?
When?
Where?
Under what conditions?
Based on what evidence?
156. Canonical Demand Sequence
Resource Requirement Signal → Demand Identification → Demand Boundary → Function → Quantity / Capacity → Time → Location → Conditions → Evidence → Demand Sufficiency → Resource Demand Profile
157. Canonical Resource Reality Relationship
RSGA™ must preserve the distinction between two fundamental states:
Resource Capacity Reality
and:
Resource Demand Reality
RACS governs the first.
RDGS governs the second.
Only after both are sufficiently represented can the architecture meaningfully govern their dependency, competition, allocation, and sustainability consequences.
158. Canonical Boundary
Resource Demand Governance Standard (RDGS) governs how Resource requirements are identified, bounded, quantified, temporally and spatially structured, functionally contextualized, evidenced, consolidated, and reassessed so that downstream RSGA™ governance receives a reliable representation of what Resource capacity is actually required.
RDGS does not determine Resource Dependency, Criticality, Access authorization, Priority, Allocation, actual Consumption, Scarcity response, Resilience, or Sustainability.
Its principal governed output is the Resource Demand Profile .
159. Canonical Closing Statement
A Resource request does not become governed Demand merely because someone asks for capacity, a system is capable of consuming it, or historical records show that it was consumed before.
RDGS establishes what Resource is actually required, for what function, in what quantity, where, when, and on what evidence — before that Demand is allowed to influence Dependency, Priority, Allocation, or Sustainability governance.
Governed Links
About Resource Demand Governance Standard (RDGS)
Core Resource Demand Module (CRDM)
Functional Demand Identification Module (FDIM)
Peak Demand Module (PKDM)
Concurrent & Parallel Demand Module (CPDM)
Demand Consolidation & Management Module (DCMM)