FailureIntervalScenario
Reliability scenarios · Implementation: mlsysim/engine/scenario_definitions/reliability.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
n_components identical components, each with component_mtbf, over a run.
Notes
Equation: Compose mlsysim.solvers.FailureIntervalModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.FailureIntervalModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.FailureIntervalModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.FailureIntervalModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.GpuFailuresTraining10K
>>> type(case.result).__name__
'FailureIntervalResult'Attributes
| Name | Description |
|---|---|
| component_mtbf | |
| n_components | |
| result | Evaluate this scenario through mlsysim.solvers.FailureIntervalModel.solve. Equation: |
| run_duration |
component_mtbf
Type: Quantity.
Declared default: required.
n_components
Type: int.
Declared default: required.
run_duration
Type: Quantity.
Declared default: required.
result
engine.scenario_types.FailureIntervalScenario.result
Evaluate this scenario through mlsysim.solvers.FailureIntervalModel.solve. Equation: pass the stated fields to that implementation; its contract defines the calculation and feasibility tests. Units: each returned field follows the referenced result schema; no independent equation is evaluated by this wrapper.