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Seeding (computing)

Seeding (computing) 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 Seeding (computing) rather than just read about it. In short: In computing, and specifically peer-to-peer file sharing, seeding is the uploading of already downloaded content for others to download from. A peer, a computer that is connected to the network, becomes a seed when having acquired the entire set of data, it begins to offer its upload bandwidth to other peers attempting to download the file.

Seeding (computing) — main illustration
Seeding (computing) — illustration

Key takeaways

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

Reference excerpt

In computing, and specifically peer-to-peer file sharing, seeding is the uploading of already downloaded content for others to download from. A peer, a computer that is connected to the network, becomes a seed when having acquired the entire set of data, it begins to offer its upload bandwidth to other peers attempting to download the file. This data consists of small parts so that seeds can effectively share their content with other peers, handing out the missing pieces. A peer deliberately chooses to become a seed by leaving the upload task active once the content has downloaded. The motivation to seed is mainly to keep the file being shared in circulation (as there is no central hub to continue uploading in the absence of peer seeders) and a desire to not act as a parasite. The opposite of a seed is a leech, a peer that downloads more than they upload.

Background Seeding is a practice within peer-to-peer file sharing, a content distribution model that connects computers with the use of a peer-to-peer (P2P) software program in order to share desired content. An example of such a peer-to-peer software program is BitTorrent. Peer-to-peer file sharing is different from the client–server model, where content is directly distributed from its server to a client. To make peer-to-peer file sharing function effectively, content is divided into parts of 256 kilobytes (KB). This segmented downloading makes the parts that peers are missing be transferred by seeds. It also makes downloads go faster, as content can be exchanged between peers. All peers (including seeds) sharing the same content are called a swarm. Data shared via peer-to-peer file sharing contains shared file content, computing cycles and disk storage, among other resources.

Motivations In peer-to-peer file sharing, the strength of a swarm depends on user behaviour, as peers ideally upload more than they download. This is done by seeding, and there are different motivations to do this. There are two popular motivations to seed, of which one is the reputation-based incentive mechanism and the other is the tit for tat mechanism. As the name reveals, the former is based on the reputation of a peer, meaning that those peers who have a good reputation will get a better treatment from the uploader. The tit for tat mechanism prevents peers from downloading content if they do not upload to the peers they download from. The latter forces a peer to upload. Although seeding is only a social norm, some scholars see the practice of uploading parts of the data bulk to others as a duty, claiming that "downloaders are forced to reward uploaders in order to compensate for their resource consumption and encourage further altruistic behaviour." Other scholars are milder and believe that a group of highly motivated seeders could already provide a notion of fairness by scheduling when to seed, uploading more effectively.

Threats Leechers, peers that download more than they upload, are a threat to peer-to-peer file sharing and the practice of seeding. Where the goal of seeding is to upload more than to download, thus contributing to the sharing of content, leechers stop uploading as soon as their download is finished. What this means is that seeders must upload more parts of the data bulk in order to guarantee a successful download for others in the swarm. Leeching is a form of "free riding" and is associated with the free rider problem, temporal downloading users that, by not seeding, do not support the distribution of content. Although leeching is a threat to peer-to-peer sharing and an opposite of seeding, it is not regarded as an immediate problem. With downloads rising, upload is still guaranteed, though few contributors in the system account for most of the services.

Opportunities Research sees opportunities for seeding as a practice that caters contribution within peer-to-peer file sharing and the distribution of content in the digital world in general. A term for this is an economic traffic management (ETM), which is concerned with traffic management solutions to involve all peers, both seeder and leecher. It is ETM's goal to unite peers that have different objectives and to make the sharing of content with peer-to-peer file sharing more efficient. Locality awareness is raised as the most promising concepts by scholars. This entails stimulating peers to seed downloads in their neighbourhood, which speeds up the upload speed and saves inter-domain traffic over the Internet. Other opportunities that have arisen out of research are to schedule seeding and use models that reduce the power consumption of seeding computers.

Legal issues Peer-to-peer file sharing is legal, however, the platform may be also used to share illegal and pirated content. With the sharing being done between peers all over the world, there is no supervision. Control over illegal or manipulated content is therefore difficult. Seeding is a part of this and a peer can therefore be involved in helping other peers download illegal content. One of the largest contenders against peer-to-peer or sharing in general is the Motion Picture Association of America that has led many lawsuits against peer-to-peer sharing websites. Notable examples include the Megaupload legal case and torrent websites like The Pirate Bay (see The Pirate Bay trial and The Pirate Bay raid).

See also BitTorrent BitTorrent tracker Decentralized computing Distributed Data Management Architecture Friend-to-friend List of P2P protocols Semantic P2P networks Sharing economy

References

Illustrations

Seeding (computing): This shows in a simplified way when one seeds.
This shows in a simplified way when one seeds.

Worked examples

Example 1 — a first encounter with Seeding (computing)

Start with the simplest possible case. Write down what Seeding (computing) 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 Seeding (computing) 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 Seeding (computing) 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 Seeding (computing)

In research
Seeding (computing) 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 Seeding (computing) 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
Seeding (computing) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Intellectual property law, Internet terminology, Peer-to-peer file sharing, so understanding it makes those chapters shorter.
In everyday life
Look for Seeding (computing) 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 Seeding (computing) in 20 minutes

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

Frequently asked questions

What is Seeding (computing) in simple terms?

In computing, and specifically peer-to-peer file sharing, seeding is the uploading of already downloaded content for others to download from. A peer, a computer that is connected to the network, becomes a seed when having acquired the entire set of data, it begins to offer its upload bandwidth to o…

Why does Seeding (computing) 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 Seeding (computing)?

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 Seeding (computing).

Tags

  • Intellectual property law
  • Internet terminology
  • Peer-to-peer file sharing

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