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NotesComputer Science HLTopic 2.2Servers
Back to Computer Science HL Topics
2.2.24 min read

Servers (Computer Science HL)

IB Computer Science • Unit 2

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Contents

  • A role, not a box
  • Why centralise at all
  • Handling many at once
  • Exam-style question
The big idea: A server is any machine running software that waits for requests and responds to them. A client is whatever makes the request.

It is a role, not a kind of hardware. A laptop can be a server; one machine can run several servers at once.
ServerProvidesTypical requests
WebPages and assets over HTTP/HTTPS"Send me /index.html"
FileShared storage"Open this document"
DatabaseQuery results"All orders from March"
MailSending and storing email"Any new messages?"
DNSNames turned into IP addresses"What is bbc.co.uk?"
PrintA shared printer queue"Add this to the queue"

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What it buys

  • One copy of the data — no versions to reconcile
  • Access control and backup in one place
  • Powerful hardware shared across many users
  • Update once, and everyone has the new version

What it costs

  • A single point of failure
  • A bottleneck under load
  • A single, high-value target for attack
  • Clients are useless without the network

How that is answered

  • Redundant servers, so one failure is survivable
  • A load balancer spreading requests between them
  • Which also removes the bottleneck
  • At the cost of complexity and money
Client–server against peer-to-peer: Client–server centralises: control, backup and consistency are easy, and the server is a single point of failure.

Peer-to-peer has every machine act as both. It has no single failure point and gets faster as more peers join — but security, consistency and backup all become much harder.

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What a server must cope with

  • Concurrent requests — thousands may arrive in the same second
  • So it must not process them strictly one after another
  • Statelessness helps: if each request carries everything it needs, any server can answer it
  • Which is what makes a load balancer possible at all
  • Sessions are the exception, and are why state is often pushed into a shared store
Scaling up or out: Up — a bigger machine. Simple, but there is a ceiling, and it is still one point of failure.

Out — more machines behind a load balancer. No ceiling and no single failure, but the application must be written to allow it.

Naming both, and the ceiling, is what a full answer does.

How this is tested — you must describe a server by what it DOES, and weigh centralisation honestly. It comes up two ways:

Paper 1 Section A

  • Describe the function of servers, 3-4 marks
  • Name the server providing a described service
  • State one advantage of client–server

Paper 1 Section B — case study

  • Compare client–server with peer-to-peer
  • Explain how a single point of failure is addressed
The classic trap: Defining a server as "a powerful computer". It is a role: software that waits for requests and responds. One machine can run several, and a laptop can be one.
IB-style questionDescribe[5 marks]

A school replaces files kept on individual laptops with a central file server. Describe the function of the server and evaluate the change.

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IB Exam Questions on Servers

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Practice Topic 2.2.2 QuestionsBrowse All Computer Science HL Topics

How Servers Appears in IB Exams

Examiners use specific command terms when asking about this topic. Here's what to expect:

Define

Give the precise meaning of key terms related to Servers.

AO1
Describe

Give a detailed account of processes or features in Servers.

AO2
Explain

Give reasons WHY — cause and effect within Servers.

AO3
Evaluate

Weigh strengths AND limitations of approaches in Servers.

AO3
Discuss

Present arguments FOR and AGAINST with a balanced conclusion.

AO3

See the full IB Command Terms guide →

Related Computer Science HL Topics

Continue learning with these related topics from the same unit:

2.1.1What networks are for
2.1.2Digital infrastructures
2.1.3Network devices
2.1.4Network protocols
View all Computer Science HL topics

Improve your exam technique

Command terms, paper structure, and mark-scheme tips for Computer Science HL

Previous
2.2.1Network topologies
Next
Networking models2.2.3

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