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Weighted round robin

Weighted round robin 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 Weighted round robin rather than just read about it. In short: Weighted round robin (WRR) is a network scheduler for data flows, but also used to schedule processes. Weighted round robin is a generalisation of round-robin scheduling.

Weighted round robin — main illustration
Weighted round robin — illustration

Key takeaways

  • Weighted round robin 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 Weighted round robin to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Weighted round robin from memory before moving on to harder problems.

Reference excerpt

Weighted round robin (WRR) is a network scheduler for data flows, but also used to schedule processes. Weighted round robin is a generalisation of round-robin scheduling. It serves a set of queues or tasks. Whereas round-robin cycles over the queues or tasks and gives one service opportunity per cycle, weighted round robin offers to each a fixed number of opportunities, as specified by the configured weight, which serves to influence the portion of capacity received by each queue or task. In computer networks, a service opportunity is the emission of one packet if the selected queue is non-empty. If all packets have the same size, WRR is the simplest approximation of generalized processor sharing (GPS). Several variations of WRR exist. The main ones are the classical WRR, and the interleaved WRR.

Algorithm

Principles WRR is presented in the following as a network scheduler. It can also be used to schedule tasks in a similar way. A weighted round-robin network scheduler has n {\displaystyle n} input queues, q 1 , . . . , q n {\displaystyle q_{1},...,q_{n}} . To each queue q i {\displaystyle q_{i}} is associated w i {\displaystyle w_{i}} , a positive integer, called the weight. The WRR scheduler has a cyclic behavior. In each cycle, each queue q i {\displaystyle q_{i}} has w i {\displaystyle w_{i}} emissions opportunities. The different WRR algorithms differ in the distribution of these opportunities in the cycle.

Classical WRR In classical WRR the scheduler cycles over the queues. When a queue q i {\displaystyle q_{i}} is selected, the scheduler will send packets, up to the emission of the w i {\displaystyle w_{i}} packet or the end of the queue.

Interleaved WRR Let w m a x = max { w i } {\displaystyle w_{max}=\max\{w_{i}\}} , be the maximum weight. In IWRR, each cycle is split into w m a x {\displaystyle w_{max}} rounds. A queue with weight w i {\displaystyle w_{i}} can emit one packet at round r {\displaystyle r} only if r ≤ w i {\displaystyle r\leq w_{i}} .

Example

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Worked examples

Example 1 — a first encounter with Weighted round robin

Start with the simplest possible case. Write down what Weighted round robin 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 Weighted round robin 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 Weighted round robin 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 Weighted round robin

In research
Weighted round robin 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 Weighted round robin 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
Weighted round robin is common in secondary-school and first-year university syllabi. It links to neighbouring topics Network scheduling algorithms, so understanding it makes those chapters shorter.
In everyday life
Look for Weighted round robin 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 Weighted round robin in 20 minutes

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

Frequently asked questions

What is Weighted round robin in simple terms?

Weighted round robin (WRR) is a network scheduler for data flows, but also used to schedule processes. Weighted round robin is a generalisation of round-robin scheduling.

Why does Weighted round robin 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 Weighted round robin?

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 Weighted round robin.

Tags

  • Network scheduling algorithms

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