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Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Computer Hardware and Software

Networking, Cloud and Emerging Computing Infrastructure for CS Professional

Updated 11 October 2026 · Fact-checked

This topic covers how computers connect (LAN, MAN, WAN and topologies) and how computing is delivered as a service (cloud). Solve questions by naming the concept, defining it, giving its types or features, and tying it to AI and analytics use, with risks and compliance points.

Understand Networking, Cloud and Emerging Computing Infrastructure

A network is a group of computers and devices linked so they can share data and resources. Networks are classified by size. A LAN covers one building or campus. A MAN covers a city. A WAN covers countries or the world. The internet is a global network of networks.

A topology is the layout of the network. In bus, all devices share one cable. In star, every device connects to a central hub or switch. In ring, each device connects to two neighbours in a loop. In mesh, devices connect to many others. In tree, star groups hang off a bus backbone. Star is common today because one faulty cable does not stop the others, but the central device is a single point of failure.

Cloud computing means using computing resources such as servers, storage and software over the internet, usually paying for what you use. There are three service models. IaaS gives you raw servers, storage and networks; you manage the operating system and applications. PaaS gives a platform to build and run applications; you manage the application and data. SaaS gives a ready-to-use application, such as web email; the provider manages almost everything.

There are four deployment models. Public cloud is shared infrastructure run by a provider. Private cloud is used by one organisation. Hybrid cloud combines both, with data and workloads moving between them. Community cloud is shared by organisations with common needs, such as banks.

Virtualization uses software called a hypervisor to split one physical machine into several virtual machines, each with its own operating system. This is the base of cloud. Edge computing processes data close to where it is produced, such as a sensor or camera, instead of sending everything to a distant data centre. It cuts delay and bandwidth use. AI and analytics use cloud for large training and storage, and edge for fast local decisions. Cloud and edge also raise data location, security and privacy issues.

Key rules to remember

Network size classes
LAN (building/campus) < MAN (city) < WAN (country/world)
Classify by geographic spread, not by number of devices.
Cloud service models
IaaS (infrastructure) → PaaS (platform) → SaaS (software)
Moving from IaaS to SaaS, the provider manages more and you manage less.
Cloud deployment models
Public | Private | Hybrid | Community
Based on who owns and who uses the infrastructure.
Virtualization
1 physical machine + hypervisor = many virtual machines
Each virtual machine runs its own operating system and is isolated from others.
Edge vs cloud
Edge = process near the source; Cloud = process in a central remote data centre
Edge suits low-delay needs; cloud suits heavy computing and large storage.

How to solve Networking, Cloud and Emerging Computing Infrastructure questions

Use this method for definition, differentiate and short-note questions on this topic.

  1. 1Read the verb: define, differentiate, explain, or discuss. This sets the depth and format.
  2. 2Write a one-line definition of the main term in plain words.
  3. 3List the types or models with one line each, such as IaaS, PaaS, SaaS or the topologies.
  4. 4For a comparison question, pick three to five clear points such as ownership, control, cost, scalability and security.
  5. 5Add an example, ideally Indian, such as a company using a public cloud for its website.
  6. 6Link to AI, analytics or cyber security: data volume, speed, security, privacy or compliance.
  7. 7Close with a one-line conclusion on when each option suits best.

Quickest way: Who manages what, and who owns it

When to use it: Use this when you must classify a scenario quickly or compare options under time pressure.

  1. Ask: is the user getting servers, a build platform, or a finished app? That gives IaaS, PaaS or SaaS.
  2. Ask: who uses the infrastructure? One firm means private, many means public, a mix means hybrid.
  3. Ask: how far does the network spread? Building is LAN, city is MAN, wide area is WAN.
  4. Ask: does the data need instant local processing? If yes, edge. If heavy storage or training, cloud.
  5. Write the answer with the label first, then one reason from the facts.

Common mistakes in Networking, Cloud and Emerging Computing Infrastructure

  • Mixing up PaaS and SaaS

    Both sound like services and both hide servers from the user.

    Fix: If the user writes and deploys code, it is PaaS. If the user only uses a finished application, it is SaaS.

  • Calling a hybrid cloud any use of two public clouds

    Students read hybrid as simply two clouds.

    Fix: Hybrid combines private and public infrastructure. Two public providers is usually called multi-cloud.

  • Saying edge computing replaces cloud

    Edge is presented as the newer idea.

    Fix: They work together. Edge handles quick local processing and the cloud handles storage and heavy training.

  • Classifying networks by number of devices

    LAN seems to mean few devices.

    Fix: Classify by geographic area. A LAN can have thousands of devices.

  • Confusing virtualization with cloud computing

    Cloud uses virtualization, so they look the same.

    Fix: Virtualization is a technology that splits hardware. Cloud is a service delivery model that often uses it.

  • Ignoring security and legal points in a discussion answer

    Students focus on technical definitions only.

    Fix: Add a closing point on data protection, data location, vendor lock-in and provider responsibility.

Worked examples

Example 1

A start-up in Pune builds a mobile app. It wants to write its own code but not manage servers or operating systems. Which cloud service model suits it? Compare it briefly with IaaS and SaaS.

Show the solution
  1. Identify the need: the start-up writes and deploys its own code and does not want to manage servers or operating systems.
  2. A model giving a ready platform to build and run applications is PaaS.
  3. IaaS gives only infrastructure, so the start-up would have to manage the operating system and runtime. That is more work than it wants.
  4. SaaS gives a finished application, so the start-up could not build its own app on it.
  5. Add a note: the start-up still controls its application and data, so it must secure them and check the provider's terms.

Answer: PaaS suits the start-up. IaaS leaves too much management with the user, and SaaS offers no room to build its own app.

Example 2

A bank wants to keep customer records on its own controlled infrastructure but use rented capacity for its public website during peak traffic. Name the deployment model and explain why. Also say whether edge computing helps for its ATM fraud checks.

Show the solution
  1. Records stay on the bank's own controlled infrastructure. This is a private cloud.
  2. The website uses rented shared capacity from a provider. This is a public cloud.
  3. Using both together, with workloads moving between them, is a hybrid cloud.
  4. Hybrid gives control and privacy for sensitive data and scalability for peak load.
  5. For fraud checks needing a decision in a moment, processing near the ATM or branch cuts delay. That is edge computing.
  6. Heavy model training on large past data can still run in the cloud.

Answer: The bank should use a hybrid cloud. Edge computing can help with instant ATM fraud checks, while the cloud handles storage and model training.

Exam tips

  • Expect short notes and differentiate questions. Prepare comparison points for IaaS, PaaS, SaaS and for public, private and hybrid cloud.
  • Draw a small labelled sketch of each topology if the question allows. It earns quick marks.
  • In case-based questions, name the model first, then justify it from the facts given.
  • Add one risk or compliance line, such as data protection or vendor lock-in, to stand out.
  • Keep a one-line definition of virtualization, hypervisor and edge computing ready.

Practice questions from Computer Hardware and Software

Networking, Cloud and Emerging Computing Infrastructure: frequently asked questions

What is the difference between IaaS, PaaS and SaaS?

IaaS gives you servers, storage and networks to manage yourself. PaaS gives a platform to build and run your own applications. SaaS gives a ready application that you just use.

How is a LAN different from a WAN and a MAN?

They differ by area covered. A LAN covers a building or campus, a MAN covers a city, and a WAN covers large regions or countries. The internet is the largest WAN-type network of networks.

How does virtualization work in cloud computing?

A hypervisor runs on a physical server and divides it into several virtual machines. Each has its own operating system and resources. This lets a provider serve many users from shared hardware.

What is the difference between edge and cloud computing?

Cloud computing processes data in large central data centres. Edge computing processes it near the source, such as a sensor. Edge reduces delay and bandwidth, while cloud offers more storage and power.