SAO

Probability

System Availability Odds Calculator

Combine an identical series chain with an identical parallel block, then translate system unavailability into expected annual downtime.

Series-chain availability-
Parallel-subsystem availability-
Combined system availability-
Combined unavailability-
Expected downtime per year (hours)-
Available-to-unavailable odds-

Decision view

Reliability block diagram and annual downtime strip

Reliability block diagram and annual downtime stripSeries blocks carry every request; the redundant branch survives unless every parallel unit is unavailable.
Exact scenario comparisonAvailability of each series component (%) changes while all other entered assumptions remain constant.
Availability of each series component (%)Series-chain availabilityParallel-subsystem availabilityCombined system availabilityCombined unavailabilityExpected downtime per year (hours)Available-to-unavailable odds

How to use System Availability Odds Calculator

  1. Map which components are truly essential.
  2. Group only independently failing redundant units.
  3. Use availability estimates for the same service interval and operating definition.

Calculator guide

Understanding System Availability Odds Calculator

System availability depends on architecture. Essential series components all must work, while a parallel subsystem works when at least one redundant unit remains available.

Architecture matters The same components combine differently in series and parallel.
Series accumulates risk Every essential block can stop the service.
Common cause missing Independence can overstate redundancy benefits.

Detailed calculation process

Detailed series-parallel availability calculation

The default architecture has four identical 99.9% essential components and a two-unit 99.5% redundant subsystem.

General formula: A_s=a^nA_p=1-(1-r)^mA=A_sA_pU=1-AD=T*UO=A/U The series chain is a joint success. The parallel block uses the complement of joint failure. Independent blocks then multiply.

What each symbol means

a,n series component availability and count
r,m parallel unit availability and count
T operating hours in the reporting period
D,O expected downtime and availability odds

Worked substitution with the default inputs

1. Evaluate series chain A_s=0.999^4=0.996006 Any unavailable essential component stops the chain.
2. Evaluate redundant block A_p=1-(1-0.995)^2=0.999975 Both redundant units must be unavailable together.
3. Combine and translate A=0.996006*0.999975=0.995981D=8,760*(1-A)=35.21 h/year The series chain dominates the default unavailability.

The default independent-block model yields about 99.5981% availability and 35.21 expected downtime hours per year.

Worked situations

Practical examples

  • Four 99.9% series components provide about 99.6006% chain availability.
  • Two 99.5% parallel units provide 99.9975%; the combined system is about 99.5981%.

Better inputs

Useful tips

  • Include shared power, network, software, and maintenance dependencies.
  • Measure repair time as well as failure rate.
  • Model planned maintenance consistently across all inputs.

Before relying on the result

Limitations and common mistakes

  • Failures are assumed independent and component availabilities identical within each block.
  • Coverage, failover delay, degraded capacity, and common-cause failures are absent.
  • Expected downtime is an average, not a schedule.

Reference

Key terms

Series block
A set where every component must be available.
Parallel block
A redundant set available when at least one unit works.
Unavailability
One minus availability over the defined period.

Important note

Use dependency diagrams, common-cause analysis, observed MTBF/MTTR, maintenance policy, failover testing, and service-level definitions for production reliability engineering.

Frequently asked questions

Why multiply series availability?

All independent essential components must be available simultaneously.

Why is parallel availability one minus failure powers?

The redundant block fails only when every unit is unavailable.

Can expected downtime be one outage?

Not necessarily; it is the total expected unavailable time across any number of incidents.