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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.

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