SeriesFailureScenario
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.
A synchronous job on n_devices that stops when any one component fails.
component_mttf gives each component’s MTTF and per_node its count in one node of devices_per_node devices; a redundant part that cannot fail the node singly is counted 0. Added 2026-10-20.
Notes
Equation: Compose mlsysim.solvers.SeriesFailureModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.SeriesFailureModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.SeriesFailureModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.SeriesFailureModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.FullSystemFailures10K
>>> type(case.result).__name__
'SeriesFailureResult'Attributes
| Name | Description |
|---|---|
| component_mttf | |
| devices_per_node | |
| n_devices | |
| per_node | |
| result | Evaluate this scenario through mlsysim.solvers.SeriesFailureModel.solve. Equation: |
n_devices
Type: int.
Declared default: required.
devices_per_node
Type: int.
Declared default: required.
component_mttf
Type: Dict[str, Quantity].
Declared default: required.
per_node
Type: Dict[str, int].
Declared default: required.
result
engine.scenario_types.SeriesFailureScenario.result
Evaluate this scenario through mlsysim.solvers.SeriesFailureModel.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.