DRRM — Dynamic Resource Reallocation Module

Architecture:

VEGA™ — Value Execution Governance Architecture

Parent Standard:

Resource Governance Standard (RGS)

Category:

Governance & Enforcement

Subcategory:

Value Execution Governance

Type: Core Module

Governed Space:

Dynamic Resource Reallocation

Module ID: VEGA-RGS-DRRM-003

Origin ID: OOF.CM.VEGA.04.03.01

Version: 1.0

Status: Canonical · Open Standard

Effective Date: 28 September 2026

Compatibility: OOF® Methodology OS™ · Modular OOF® Architecture Ecosystem

AI-Readable: Yes

Authority: OOF® — OriginOpen® Foundation

Protection:

MIP® — Methodological Intellectual Property

Canonical Language:

English (UCL™)

1. Canonical Definition

The Dynamic Resource Reallocation Module (DRRM) governs how resource allocations assigned to intelligence execution are reassessed and changed when operational requirements, workload conditions, execution states, resource availability, or other material conditions change.

DRRM establishes the methodological transition from a static Governed Resource Allocation State to an adaptive resource state capable of increasing, decreasing, redistributing, substituting, or releasing resources in response to evidenced operational need.

It governs reallocation triggers, reallocation justification, direction, magnitude, timing, prioritization, stabilization, rollback, reassessment, and evidence.

DRRM prevents historical or initial resource allocation from being treated as permanently correct when the conditions that justified it have materially changed.

Its principal output is:

Governed Dynamic Resource State

Its foundational distinction is:

Initial Allocation ≠ Continuing Resource Requirement.

2. Operational Role

The operational role of DRRM is:

to maintain proportionality between intelligence execution requirements and resource allocation as operational conditions change.

RSAM establishes the initial governed allocation.

DRRM determines when that allocation should change and governs the transition to a new resource state.

3. Position in the RGS Internal Flow

The RGS internal module progression is:

Resource Identification → Resource Allocation → Dynamic Reallocation → Resource Constraint → Consumption Traceability

DRRM governs:

Dynamic Resource Reallocation

Its principal input is:

Governed Resource Allocation State

Its principal output is:

Governed Dynamic Resource State

That output proceeds to:

RCM — Resource Constraint Module

4. Central Operational Question

When changing execution conditions make the current resource allocation no longer appropriate, how should resources be increased, reduced, redistributed, substituted, or released?

5. Dynamic Resource Object

Every DRRM process should identify the execution and Resource Objects subject to possible reallocation.

The Dynamic Resource Object may concern:

compute,

memory,

storage,

network capacity,

hardware,

tools,

infrastructure,

execution-related energy capacity,

human operational support,

or another resource governed by RGS.

6. Current Allocation State

Reallocation begins from an existing Governed Resource Allocation State.

DRRM should preserve the current allocation as the reference state against which proposed changes are assessed.

7. Changed Operational Condition

A reallocation should correspond to a material change or newly evidenced condition.

Possible changes include:

workload,

task complexity,

concurrency,

execution performance,

resource availability,

failure state,

latency,

reliability,

configuration,

or applicable constraints.

8. Reallocation Need

A Reallocation Need exists where the current resource allocation is no longer sufficiently aligned with the governed execution requirement.

The existence of changing conditions does not automatically require reallocation.

Therefore:

Operational Change ≠ Automatic Resource Change.

9. Reallocation Trigger

A Reallocation Trigger is an event, state, threshold, or evidence condition that initiates assessment of whether resource allocation should change.

A trigger does not itself establish that reallocation is justified.

Therefore:

Reallocation Trigger ≠ Reallocation Decision.

10. Trigger Source

A trigger may originate from:

workload monitoring,

resource monitoring,

execution performance,

failure detection,

resource scarcity,

constraint change,

task classification,

human intervention,

or another governed source.

11. Threshold Trigger

A reallocation assessment may be triggered when a defined measurable condition crosses a threshold.

Examples may include:

utilization,

queue length,

latency,

memory pressure,

task volume,

failure rate,

or another execution-relevant measure.

12. State Trigger

A change in execution state may trigger reallocation even where no numerical threshold is involved.

Examples may include:

routine → exceptional,

normal execution → validation,

single-agent → multi-agent,

or automated execution → human escalation.

13. Event Trigger

A discrete event may create a legitimate need for resource reassessment.

Examples may include:

tool failure,

hardware loss,

new task arrival,

execution escalation,

or resource unavailability.

14. Predictive Trigger

Where sufficiently reliable evidence exists, reallocation may occur in anticipation of a predictable resource requirement.

Predictive allocation should remain evidence-based.

Therefore:

Expected Demand ≠ Certain Demand.

15. Reactive Reallocation

Reactive Reallocation occurs after a material resource need or condition has already emerged.

It may be appropriate where demand is difficult to predict or unnecessary to provision in advance.

16. Proactive Reallocation

Proactive Reallocation changes resources before the expected condition fully emerges.

It may support:

continuity,

latency,

resilience,

or predictable demand.

The predictive Basis should remain explicit.

17. Reallocation Direction

DRRM should identify the direction of resource change.

Possible directions include:

increase,

decrease,

redistribution,

substitution,

release,

or another defined resource transition.

18. Upward Reallocation

Upward Reallocation increases resource capacity available to the execution.

It should occur where additional resource is justified by unresolved operational need.

Therefore:

More Demand May Justify More Resource — Not Unlimited Resource.

19. Downward Reallocation

Downward Reallocation reduces resource allocation where existing capacity exceeds current justified need.

Resource reduction should preserve the ability to satisfy applicable Operational Requirements.

20. Resource Redistribution

Resource Redistribution moves capacity between:

tasks,

agents,

workflows,

resource pools,

execution stages,

or other governed execution objects.

Redistribution should preserve traceability of the resource transition.

21. Resource Substitution

A Resource Object may be replaced with another capable of supporting the required execution.

Substitution may involve:

different hardware,

different infrastructure,

different service,

different tool,

or another resource mechanism.

DRRM governs the reallocation transition.

It does not independently determine broader technology strategy.

22. Resource Release

Resources no longer required may be released.

Release is a legitimate form of dynamic reallocation.

Therefore:

Dynamic Resource Governance Includes Reduction and Release — Not Only Scaling Up.

23. Reallocation Magnitude

The amount of resource change should correspond to the evidenced change in operational need.

Reallocation should avoid both:

insufficient adjustment,

and excessive adjustment.

24. Incremental Reallocation

Resources may be adjusted incrementally where gradual changes provide sufficient operational response.

Incremental adjustment may reduce instability.

25. Step Reallocation

Some conditions may require immediate transition to a materially different resource level.

A step change should remain justified by the operational condition.

26. Reallocation Range

Where exact requirements are uncertain, DRRM may establish a governed range within which resource allocation can dynamically move.

The range should respect applicable resource constraints.

27. Reallocation Ceiling

A dynamic resource state may possess a maximum permitted allocation.

Crossing the ceiling requires an appropriate governed Basis or escalation.

28. Reallocation Floor

A dynamic resource state may possess a minimum allocation necessary to preserve required execution.

Automatic scaling should not reduce resources below the governed floor.

29. Reallocation Timing

The timing of reallocation may materially affect execution.

Reallocation may occur:

immediately,

at a defined checkpoint,

between tasks,

after completion,

or under another governed timing condition.

30. Reallocation Latency

A legitimate reallocation may fail operationally if the additional resource arrives too late.

Where material, DRRM should account for the time required to transition resource states.

31. Reallocation Duration

Some reallocations are temporary.

Others become the new normal allocation state.

The expected duration should remain explicit where material.

32. Temporary Reallocation

Temporary Reallocation exists for a bounded:

task,

workload spike,

exception,

failure condition,

or operational period.

Temporary resource increases should not automatically become permanent allocations.

33. Persistent Reallocation

Where changed conditions are expected to persist, a new resource state may become the continuing allocation Basis.

Persistent change should trigger appropriate versioning and reassessment.

34. Reallocation Expiry

Temporary reallocations should possess an expiry, review point, or termination condition where appropriate.

Therefore:

Temporary Resource Increase ≠ Permanent Resource Entitlement.

35. Reallocation Reversal

Where the triggering condition disappears, the resource state may return toward the previous allocation.

Reversal should be possible where operationally appropriate.

36. Reallocation Rollback

A resource transition may produce unexpected degradation.

DRRM should support rollback where returning to a prior known resource state is appropriate and permitted.

37. Reallocation Failure

Reallocation may fail because:

resources are unavailable,

transition cannot occur,

dependency conditions are unmet,

constraints prohibit the change,

or the new allocation does not resolve the underlying problem.

Failure should remain explicit.

38. Partial Reallocation

Only part of a requested resource change may be possible.

Partial Reallocation should remain distinguishable from full satisfaction of the resource need.

39. Reallocation Sufficiency

After a resource change, DRRM should assess whether the new allocation sufficiently addresses the triggering condition.

A successful technical transition does not automatically establish sufficiency.

40. Reallocation Excess

A reallocation may overshoot the actual resource need.

Excess should be capable of detection and subsequent correction.

Therefore:

Successful Scaling ≠ Proportionate Scaling.

41. Reallocation Stabilization

After a resource transition, the execution may require a stabilization period before another adjustment is justified.

This can reduce unnecessary oscillation.

42. Resource Oscillation

Resource Oscillation occurs where allocation repeatedly moves upward and downward without stable operational justification.

It may result from:

poor thresholds,

noisy signals,

delayed measurement,

or overly sensitive control logic.

43. Reallocation Hysteresis

Where appropriate, different thresholds may be used for scaling resources upward and downward to reduce oscillation.

The mechanism should remain transparent and justified.

44. Reallocation Frequency

Excessive reallocation may itself create operational overhead.

Therefore:

More Adaptive Changes ≠ Better Resource Governance by default.

The appropriate frequency depends upon the resource and execution context.

45. Reallocation Cost

Resource transitions may create:

technical,

operational,

or economic overhead.

DRRM may identify such overhead where it affects the legitimacy of frequent reallocation.

IES governs the economic treatment.

46. Reallocation Overhead

Reallocation may require:

migration,

loading,

state transfer,

coordination,

restart,

or additional control activity.

This overhead should remain visible where material.

47. Reallocation Benefit

A resource change should be expected to materially improve the relevant execution-resource condition.

Potential benefits include:

restoring sufficiency,

reducing excess,

resolving contention,

improving continuity,

or releasing unnecessary resources.

48. Marginal Reallocation Benefit

Additional resource increments may produce progressively smaller operational improvements.

Where observable, this may inform whether further upward reallocation remains justified.

49. Reallocation Saturation

A Reallocation Saturation state may exist where additional resources no longer materially improve the relevant execution condition.

Therefore:

Additional Resource Beyond Saturation ≠ Additional Operational Benefit.

50. Reallocation and Workload

Workload change is a common reallocation driver.

DRRM should distinguish:

temporary spikes,

persistent growth,

task-mix changes,

and random variation

where those differences materially affect the resource response.

51. Reallocation and Task Complexity

An individual task or task class may require additional resources.

Complexity should justify only the resource change actually required.

52. Reallocation and Concurrency

Changes in simultaneous execution demand may justify temporary or persistent resource changes.

Concurrency should be measured at the relevant operational boundary.

53. Reallocation and Performance Degradation

Performance degradation may trigger resource reassessment.

However, resource insufficiency should not be assumed without evidence.

Therefore:

Performance Degradation ≠ Resource Insufficiency by default.

The cause may lie elsewhere.

54. Reallocation and Failure

Failure may indicate inadequate resources.

It may also result from:

logic,

data,

tools,

validation,

permissions,

or other causes.

DRRM should avoid using resource escalation as a universal failure response.

55. Reallocation and Productivity

Productivity evidence may reveal whether additional resources improve productive completion.

IPS governs productivity.

DRRM may use that evidence to evaluate resource transitions.

56. Reallocation and Cognitive Demand

Some tasks may require increased cognitive execution.

That may create additional resource need.

The resource response should follow the evidenced execution requirement rather than assuming that more reasoning always requires maximum resource escalation.

57. Reallocation and Model Change

Changing the model may alter resource requirements.

Where model selection changes, the resource state should be reassessed.

DRRM does not determine which model should be selected.

58. Reallocation and Multi-Agent Systems

Agents may be:

activated,

deactivated,

added,

removed,

or reassigned

as workload changes.

The resulting resource effects should remain governed.

59. Agent Activation

Activating another agent may create additional requirements for:

compute,

memory,

context,

tools,

communication,

and orchestration.

Therefore:

One Additional Agent ≠ One Isolated Additional Resource Requirement.

60. Agent Deactivation

Where an agent is no longer required, associated resources may become candidates for reduction or release.

Dependencies should be checked before release.

61. Reallocation and Human Support

Human operational capacity may also require dynamic reallocation.

Examples may include:

exception queues,

validation,

specialist review,

or supervisory intervention.

DRRM does not govern employment decisions.

62. Reallocation and Hardware

Workloads may move between:

hardware classes,

devices,

edge infrastructure,

or other execution platforms.

DRRM governs the resource transition where it belongs to the intelligence execution.

63. Reallocation and Compute

Compute may be increased or decreased according to execution need.

COS subsequently governs whether the computational configuration is efficient.

Therefore:

Dynamic Compute Allocation ≠ Computational Optimization.

64. Reallocation and Memory

Memory allocation may change with:

context,

task size,

state,

agent count,

or workload.

Dynamic memory changes should remain connected to the execution requirement.

65. Reallocation and Network Capacity

Network resources may require adjustment where execution becomes more distributed or data-transfer demand changes.

The resource transition should remain traceable.

66. Reallocation and Tool Capacity

Tool access or service capacity may scale according to execution demand.

Tool availability alone does not justify permanent allocation.

67. Reallocation and Resource Scarcity

Scarcity may require downward reallocation, redistribution, or prioritization.

DRRM governs the execution-specific resource response.

It does not govern society-wide resource allocation.

68. Reallocation and Contention

Where multiple executions compete for a constrained resource, DRRM may redistribute available capacity according to the applicable governed priority state.

It does not create that authority itself.

69. Reallocation Priority

Where not all resource needs can be satisfied simultaneously, reallocation may follow an authorized priority structure.

Priority evidence should remain explicit.

70. Reallocation Fairness

Where relevant, allocation rules may need to avoid uncontrolled starvation of lower-priority execution objects.

DRRM may preserve evidence of distribution consequences without defining universal fairness policy.

71. Resource Starvation

Resource Starvation occurs where an execution receives insufficient resource because competing allocation continuously prevents it from reaching its required state.

This should remain detectable.

72. Reallocation and Governed Constraints

All reallocation must remain within applicable governed constraints unless those constraints are legitimately changed by the competent governance source.

Therefore:

Dynamic Need ≠ Permission to Override Constraints.

73. Reallocation Exception

An exceptional condition may justify temporary deviation from the normal dynamic resource policy.

The exception should remain:

bounded,

evidenced,

authorized where required,

and reassessed.

74. Emergency Reallocation

Where operational continuity or another legitimate requirement demands immediate action, emergency reallocation may occur under the applicable authority structure.

Emergency status should not eliminate evidence or subsequent review.

75. Reallocation Authority

DRRM may identify that reallocation is methodologically justified.

It does not independently create organizational or institutional authority to execute that change.

Therefore:

Reallocation Justification ≠ Reallocation Authority.

76. Automated Reallocation

Resource reallocation may be automated where appropriate.

Automation should operate within:

defined triggers,

limits,

constraints,

and escalation conditions.

Automation does not eliminate governance.

77. Human-Controlled Reallocation

Some resource changes may require human approval or intervention.

The approval requirement should reflect the relevant authority structure rather than being universally imposed by DRRM.

78. Hybrid Reallocation

A system may automate changes within defined boundaries while escalating exceptional resource changes to humans or another authority.

This can support dynamic execution without eliminating control.

79. Reallocation Monitoring

After a change, the relevant resource and execution states should be observed sufficiently to determine whether the reallocation achieved its intended purpose.

80. Post-Reallocation Assessment

Post-Reallocation Assessment may determine whether the transition:

resolved insufficiency,

reduced excess,

improved stability,

created new constraints,

or failed to produce the intended result.

81. Reallocation Evidence

A governed reallocation should preserve evidence of:

the prior resource state,

trigger,

justification,

resource change,

timing,

new state,

and resulting operational condition.

82. Reallocation Provenance

The resource transition should remain traceable to:

Resource Objects,

Allocation Object,

trigger source,

decision Basis,

constraints,

change magnitude,

timing,

and resulting state.

83. Reallocation Versioning

Material resource-state changes should be versioned where necessary to reconstruct the execution's resource history.

84. Reallocation Uncertainty

Where the appropriate resource response is uncertain, DRRM should preserve that uncertainty.

A dynamic system should not convert uncertain demand into automatic maximum allocation.

85. Reallocation Reassessment

A Governed Dynamic Resource State should be reassessed where:

the trigger disappears,

new evidence emerges,

workload changes again,

the execution configuration changes,

resource availability changes,

or the reallocation fails to produce the expected result.

86. Dynamic Resource Integrity

DRRM should resist:

automatic scaling from weak signals,

permanent retention of temporary resources,

scaling up without evaluating scaling down,

resource escalation as the default response to every failure,

oscillation caused by unstable triggers,

ignoring transition overhead,

exceeding constraints because demand increases,

and treating technical automation as governance authority.

The governing principle is:

Resources should change when justified execution need changes — and only to the extent that the changed need requires.

87. Governed Dynamic Resource State

The principal output of DRRM is:

Governed Dynamic Resource State

It should identify, where applicable:

current allocation,

changed operational condition,

Reallocation Need,

trigger,

trigger source,

reallocation direction,

magnitude,

range,

floor,

ceiling,

timing,

latency,

duration,

temporary or persistent status,

rollback state,

failure state,

partial reallocation,

sufficiency,

excess,

stabilization,

oscillation,

overhead,

expected benefit,

saturation,

priority,

scarcity,

contention,

exception,

authority requirement,

automation state,

post-reallocation result,

uncertainty,

evidence,

version,

and provenance.

88. Meaning of the Output

A Governed Dynamic Resource State establishes how resource allocation should respond to materially changing execution conditions.

It may establish that:

no change is justified,

additional resources are required,

resources should be reduced,

capacity should be redistributed,

a resource should be substituted,

resources should be released,

a temporary allocation should expire,

or further reassessment is required.

It does not independently establish Resource Constraints or measure final Consumption Traceability.

89. Minimum Implementation Framework

A conforming implementation of DRRM must provide exactly the following six capabilities:

1. Reallocation Trigger & Need Governance

Capability to detect material resource-state changes and distinguish a trigger from an evidenced Reallocation Need.

2. Reallocation Direction & Magnitude Governance

Capability to govern resource increases, decreases, redistribution, substitution, release, ranges, floors, ceilings, and proportional adjustment.

3. Reallocation Timing & Stability Governance

Capability to govern timing, duration, temporary states, expiry, rollback, stabilization, oscillation, and reallocation frequency.

4. Scarcity, Contention & Priority Governance

Capability to govern execution-specific resource responses where available capacity cannot satisfy all current demand.

5. Reallocation Evidence & Integrity Governance

Capability to preserve trigger evidence, justification, uncertainty, constraints, post-reallocation results, versioning, provenance, and reassessment.

6. RGS Resource Constraint Handoff Governance

Capability to produce a Governed Dynamic Resource State sufficiently explicit for subsequent Resource Constraint governance.

90. Governance Logic

The canonical DRRM governance logic is:

Governed Resource Allocation State

↓

Observe Execution / Resource Conditions

↓

Detect Material Change

↓

Identify Reallocation Trigger

↓

Determine Whether Reallocation Need Exists

↓

Assess Applicable Constraints / Priority

↓

Determine Increase / Decrease / Redistribution / Substitution / Release

↓

Determine Magnitude / Range / Timing / Duration

↓

Execute Governed Resource Transition where Authorized

↓

Observe New Resource State

↓

Assess Sufficiency / Excess / Stability

↓

Detect Failure / Oscillation / Saturation

↓

Rollback / Adjust / Stabilize where required

↓

Assess Evidence / Uncertainty

↓

Establish Governed Dynamic Resource State

↓

Handoff to Resource Constraint Governance

91. Governance Outputs

DRRM may produce:

Reallocation Need State

Reallocation Trigger

Trigger Source Record

Predictive Trigger State

Reallocation Direction

Upward Reallocation State

Downward Reallocation State

Resource Redistribution State

Resource Substitution State

Resource Release State

Reallocation Magnitude

Reallocation Range

Reallocation Floor

Reallocation Ceiling

Reallocation Timing State

Reallocation Duration

Temporary Reallocation State

Persistent Reallocation State

Reallocation Expiry State

Reallocation Rollback State

Reallocation Failure State

Partial Reallocation State

Reallocation Sufficiency State

Reallocation Excess State

Resource Stabilization State

Resource Oscillation State

Reallocation Overhead Record

Reallocation Saturation State

Resource Starvation State

Reallocation Priority State

Reallocation Exception State

Post-Reallocation Assessment

Reallocation Uncertainty

Reallocation Evidence

Reallocation Version

Reallocation Provenance

The principal output is:

Governed Dynamic Resource State

92. Critical Distinctions

DRRM preserves the following distinctions:

Initial Allocation ≠ Continuing Resource Requirement

Operational Change ≠ Automatic Resource Change

Reallocation Trigger ≠ Reallocation Decision

Expected Demand ≠ Certain Demand

More Demand May Justify More Resource — Not Unlimited Resource

Dynamic Resource Governance Includes Reduction and Release — Not Only Scaling Up

Temporary Resource Increase ≠ Permanent Resource Entitlement

Successful Scaling ≠ Proportionate Scaling

More Adaptive Changes ≠ Better Resource Governance by default

Additional Resource Beyond Saturation ≠ Additional Operational Benefit

Performance Degradation ≠ Resource Insufficiency by default

One Additional Agent ≠ One Isolated Additional Resource Requirement

Dynamic Compute Allocation ≠ Computational Optimization

Dynamic Need ≠ Permission to Override Constraints

Reallocation Justification ≠ Reallocation Authority

Reallocation ≠ Resource Constraint

Reallocation ≠ Consumption Traceability

93. Cross-Architecture Boundary

DRRM governs Dynamic Resource Reallocation within RGS.

RIM governs Resource Identification.

RSAM governs Resource Allocation.

RCM governs Resource Constraint.

RCTM governs Consumption Traceability.

XGS governs intelligence execution.

IPS governs productivity.

COS governs computational optimization.

IES governs execution economics.

ISS governs long-term intelligence sustainability.

DGS governs lifecycle decisions.

ASGA™ may govern autonomous-system authority and control where autonomous resource actions are involved.

VALIDOS™ may govern relevant validation methodology.

ADIT® may govern evidence and auditability.

ORA™ may establish relevant Operational Reality.

DRRM may use evidence from these governed spaces without replacing their governance.

94. Canonical Boundary

DRRM begins where a Governed Resource Allocation State exists and material execution or resource conditions may require that allocation to change.

DRRM governs:

Dynamic Resource Objects,

current allocation states,

changed operational conditions,

Reallocation Need,

reallocation triggers,

threshold triggers,

state triggers,

event triggers,

predictive triggers,

reactive and proactive reallocation,

reallocation direction,

upward and downward reallocation,

redistribution,

substitution,

release,

magnitude,

incremental and step reallocation,

ranges,

floors,

ceilings,

timing,

latency,

duration,

temporary and persistent reallocation,

expiry,

reversal,

rollback,

failure,

partial reallocation,

sufficiency,

excess,

stabilization,

oscillation,

hysteresis,

frequency,

transition overhead,

reallocation benefit,

marginal benefit,

saturation,

workload response,

complexity response,

concurrency response,

performance-related reassessment,

multi-agent resource change,

scarcity,

contention,

priority,

starvation,

exceptions,

emergency reallocation,

automation,

human-controlled reallocation,

hybrid reallocation,

monitoring,

post-reallocation assessment,

uncertainty,

evidence,

versioning,

provenance,

and reassessment.

DRRM does not independently govern:

Resource Identification,

initial Resource Allocation,

Resource Constraint methodology,

Consumption Traceability,

computational optimization,

economic efficiency,

Value,

Harm,

Liability,

or lifecycle authority.

DRRM ends when the adaptive execution-resource condition has been represented as a:

Governed Dynamic Resource State

for subsequent RGS governance.

95. Use Case 1 — Agent Workload Suddenly Becomes More Complex

An agent system normally processes routine cases using a defined resource allocation.

A new case requires additional reasoning, specialist tools, validation, and a second agent.

DRRM identifies the changed operational condition and determines whether the existing resource allocation remains sufficient.

Additional resources are temporarily assigned only to the extent justified by the exceptional task.

After completion, the triggering condition disappears and the temporary resource increase is released.

Temporary resource need does not create permanent resource entitlement.

96. Use Case 2 — Cloud AI Workload Scales Down After Demand Falls

An AI service receives a temporary increase in demand and its compute allocation is increased.

Several hours later, demand returns to normal.

Without dynamic resource governance, the higher allocation could remain active indefinitely.

DRRM detects that the original trigger no longer exists, reassesses the current requirement, and supports reduction toward the justified resource state.

The system therefore governs both sides of dynamic allocation:

scaling up when required and scaling down when the requirement disappears.

97. Canonical Closing Statement

A resource allocation is a state, not a permanent truth.

The workload can change.

The execution can change.

The available resources can change.

And the reason that justified yesterday's allocation can disappear while the allocation itself remains.

Dynamic governance exists to keep those two realities connected.

Resources should rise when legitimate need rises.

They should fall when that need falls.

And they should not oscillate merely because every signal produces another reaction.

Initial Allocation ≠ Continuing Resource Requirement.

Change resources when the requirement changes — not simply because change is technically possible.

A dynamic system is not one that constantly reallocates. It is one that knows when reallocation is justified.