ai.04 · Scenario S1

Multi-Layer Runtime Control Stack

Control interference effects in deep runtime control stacks where autonomous layers optimize locally without cross-layer coherence verification.

Scenario Definition

System Class

Deep runtime control stack with autonomous scheduler, orchestrator, runtime, and policy enforcement layers

Scale

Coordination-overhead-dominated regime with dozens to hundreds of control loops

Operational Mode

Mixed training and inference workloads with multi-objective scheduling

Decision Frequency

Sub-second decisions across multiple autonomous control layers

Recognition Pattern

Your control layers each report nominal operation, yet system-level efficiency degrades as you scale. Adding more sophisticated scheduling logic increases rather than decreases coordination overhead.

Structural Observations

The problem emerges between correctly operating control loops, not within any individual layer.

  • Scheduler decisions create conditions that trigger orchestrator compensations, which in turn invalidate scheduler assumptions
  • Policy enforcement introduces latency that affects scheduling decisions, creating feedback loops invisible to individual layers
  • Local optimization at each layer produces globally suboptimal outcomes that no single layer can detect or correct
  • Decision frequency differences between layers create temporal coupling that standard monitoring cannot observe

Stability Projection

Baseline

Incoherent
Reserve: Negative Accumulating

With Structural Control

Coherent
Reserve: Adequate

Transition type: Coherence restoration via cross-layer alignment

Aggregated Metrics

Normalized ratios without absolute units. Baseline values crossed out, comparison values highlighted.

Effective Throughput Ratio
0.58 0.81
Control Overhead Fraction
0.37 0.14
Decision Conflict Rate
0.24 0.06
Cross-Layer Coherence
0.41 0.84
Compensatory Action Rate
0.31 0.09
Planning Accuracy Ratio
0.52 0.79

Decision Implication

Primary insight: If your multi-layer control stack shows degrading efficiency despite each layer reporting nominal performance, you have a structural control coherence problem.

Monitoring limitation: Per-layer metrics show healthy operation while system-level coherence degrades invisibly between correctly functioning components.

Scaling consideration: Adding more sophisticated control logic may worsen rather than improve coherence by increasing the coupling surface area.

Evidence & Artefacts

Pre-computed analysis outputs for this scenario.

Such structural findings are typically contextualized through a scoped architecture risk assessment.