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Highest response ratio next

Highest response ratio next is a computer 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 Highest response ratio next rather than just read about it. In short: Highest response ratio next (HRRN) scheduling is a non-preemptive discipline. It was developed by Brinch Hansen as modification of shortest job next or shortest job first (SJN or SJF) to mitigate the problem of process starvation.

Key takeaways

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

Reference excerpt

Highest response ratio next (HRRN) scheduling is a non-preemptive discipline. It was developed by Brinch Hansen as modification of shortest job next or shortest job first (SJN or SJF) to mitigate the problem of process starvation. In HRRN, the next job is not that with the shortest estimated run time, but that with the highest response ratio defined as

r e s p o n s e r a t i o = w a i t i n g t i m e o f a p r o c e s s s o f a r + e s t i m a t e d r u n t i m e e s t i m a t e d r u n t i m e = 1 + w a i t i n g t i m e o f a p r o c e s s s o f a r e s t i m a t e d r u n t i m e {\displaystyle response\ ratio={\frac {waiting\ time\ of\ a\ process\ so\ far+estimated\ run\ time}{estimated\ run\ time}}=1+{\frac {waiting\ time\ of\ a\ process\ so\ far}{estimated\ run\ time}}}

This means, the jobs that have spent a long time waiting compete against those estimated to have short run times. As you can see in the above equation of response ratio, if the waiting time of a process increases, its response ratio increases making the long-awaited process to execute next. So, this algorithm solves the starvation problem that exists in SJN scheduling algorithm.

Algorithm Given a Linked list Q, iterate through Q to find the highest ratio by comparing each ratio within the queue. Once a ratio of element N is greater than the element M with the highest ratio replace element M with element N as the highest ratio element in the list. Once the end of the list is reached dequeue the highest ratio element. If the element is at the start of the list, dequeue it and set the list to its next element, returning the element. Otherwise N's neighbours are reassigned to identify each other as their next and previous neighbour, returning the result of N.

See also Shortest remaining time

References William Stallings: Operating systems: internals and design principles. 4th ed., Prentice-Hall, 2001, ISBN 0-13-031999-6.

Worked examples

Example 1 — a first encounter with Highest response ratio next

Start with the simplest possible case. Write down what Highest response ratio next claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Highest response ratio next 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 Highest response ratio next 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 Highest response ratio next

In research
Highest response ratio next appears in computer 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 Highest response ratio next 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
Highest response ratio next is common in secondary-school and first-year university syllabi. It links to neighbouring topics Operating system stubs, Processor scheduling algorithms, so understanding it makes those chapters shorter.
In everyday life
Look for Highest response ratio next 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.
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How to study Highest response ratio next in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Highest response ratio next 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 Highest response ratio next out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Highest response ratio next in simple terms?

Highest response ratio next (HRRN) scheduling is a non-preemptive discipline. It was developed by Brinch Hansen as modification of shortest job next or shortest job first (SJN or SJF) to mitigate the problem of process starvation.

Why does Highest response ratio next matter?

Because it connects several computer 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 Highest response ratio next?

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 Highest response ratio next.

Tags

  • Operating system stubs
  • Processor scheduling algorithms

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