ArticleslgStudy

science

Availability

Availability is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Availability rather than just read about it. In short: In reliability engineering, the term availability has the following meanings: The degree to which a system, subsystem or equipment is in a specified operable and committable state at the start of a mission, when the mission is called for at an unknown, i.e., a random, time. The probability that an item will operate satisfactorily at a given point in time when used under stated conditions in an ideal support environm…

Availability — main illustration
Availability — illustration

Key takeaways

  • Availability belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Availability to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Availability from memory before moving on to harder problems.

Reference excerpt

In reliability engineering, the term availability has the following meanings:

The degree to which a system, subsystem or equipment is in a specified operable and committable state at the start of a mission, when the mission is called for at an unknown, i.e., a random, time. The probability that an item will operate satisfactorily at a given point in time when used under stated conditions in an ideal support environment. Normally high availability systems might be specified as 99.98%, 99.999% or 99.9996%. The converse, unavailability, is 1 minus the availability.

Representation The simplest representation of availability (A) is a ratio of the expected value of the uptime of a system to the aggregate of the expected values of up and down time (that results in the "total amount of time" C of the observation window)

A = E [ u p t i m e ] E [ u p t i m e ] + E [ d o w n t i m e ] = E [ u p t i m e ] C {\displaystyle A={\frac {E[\mathrm {uptime} ]}{E[\mathrm {uptime} ]+E[\mathrm {downtime} ]}}={\frac {E[\mathrm {uptime} ]}{C}}}

Another equation for availability (A) is a ratio of the Mean Time To Failure (MTTF) and Mean Time Between Failure (MTBF), or

A = M T T F M T T F + M T T R = M T T F M T B F {\displaystyle A={\frac {MTTF}{MTTF+MTTR}}={\frac {MTTF}{MTBF}}}

If we define the status function X ( t ) {\displaystyle X(t)} as

X ( t ) = { 1 , sys functions at time t 0 , maintenance {\displaystyle X(t)={\begin{cases}1,&{\text{sys functions at time }}t\\0,&{\text{maintenance}}\end{cases}}}

therefore, the availability A(t) at time t > 0 is represented by

A ( t ) = Pr [ X ( t ) = 1 ] = E [ X ( t ) ] . {\displaystyle A(t)=\Pr[X(t)=1]=E[X(t)].\,}

Average availability must be defined on an interval of the real line. If we consider an arbitrary constant c > 0 {\displaystyle c>0} , then average availability is represented as

A c = 1 c ∫ 0 c A ( t ) d t . {\displaystyle A_{c}={\frac {1}{c}}\int _{0}^{c}A(t)\,dt.}

Limiting (or steady-state) availability is represented by

A = lim c → ∞ A c . {\displaystyle A=\lim _{c\rightarrow \infty }A_{c}.}

Limiting average availability is also defined on an interval [ 0 , c ] {\displaystyle [0,c]} as,

A ∞ = lim c → ∞ A c = lim c → ∞ 1 c ∫ 0 c A ( t ) d t , c > 0. {\displaystyle A_{\infty }=\lim _{c\rightarrow \infty }A_{c}=\lim _{c\rightarrow \infty }{\frac {1}{c}}\int _{0}^{c}A(t)\,dt,\quad c>0.}

Availability is the probability that an item will be in an operable and committable state at the start of a mission when the mission is called for at a random time, and is generally defined as uptime divided by total time (uptime plus downtime).

Series vs Parallel components

… excerpt ends here. Continue reading the full article.

Illustrations

Availability: 10 hosts, each having 50% availability. But if they are used in parallel and fail independently, they can provide high availability.
10 hosts, each having 50% availability. But if they are used in parallel and fail independently, they can provide high availability.

Worked examples

Example 1 — a first encounter with Availability

Start with the simplest possible case. Write down what Availability claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Availability before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Availability ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Availability

In research
Availability appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Availability in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Availability is common in secondary-school and first-year university syllabi. It links to neighbouring topics Telecommunication theory, so understanding it makes those chapters shorter.
In everyday life
Look for Availability outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Availability in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Availability means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Availability out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Availability in simple terms?

In reliability engineering, the term availability has the following meanings: The degree to which a system, subsystem or equipment is in a specified operable and committable state at the start of a mission, when the mission is called for at an unknown, i.e., a random, time. The probability that an…

Why does Availability matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Availability?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Availability.

Tags

  • Telecommunication theory

Keep exploring