Cloud Computing Overview
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Questions and Answers

What is cloud computing?

A model for enabling on-demand network access to a shared pool of configurable computing resources.

Which of the following are service models in cloud computing? (Select all that apply)

  • Software as a Service (SaaS) (correct)
  • Platform as a Service (PaaS) (correct)
  • Database as a Service (DBaaS)
  • Infrastructure as a Service (IaaS) (correct)
  • Distributed computing involves multiple autonomous computational entities.

    True

    What does 'fault tolerance' mean in distributed computing?

    <p>The ability of the system to continue operating properly even when one or more nodes fail.</p> Signup and view all the answers

    What are common properties of distributed computing? (Select all that apply)

    <p>Resource sharing</p> Signup and view all the answers

    What is a key disadvantage of distributed computing?

    <p>Increased complexity in system management.</p> Signup and view all the answers

    Study Notes

    Computing Overview

    • Computing is goal-oriented and utilizes computers to perform various tasks.
    • Computing spans hardware and software design, information processing, scientific research, intelligent systems, media creation, and information retrieval.

    Cloud Computing

    • Distributed Computing:
      • Is a branch of computing that focuses on distributed systems.
      • Utilizes multiple autonomous computational entities (nodes) with local memory, communicating via message passing.
      • Examples: The internet, ATM machines, intranets/workgroups, and ubiquitous network-connected devices.

    Distributed System Properties

    • Fault Tolerance: The system can function despite failures of some nodes, with potential performance impact.
    • Partial Node Role: Each node has a limited view of the system, aware of only a part of the input.
    • Resource Sharing: Users can share computing power and storage resources within the system.
    • Load Sharing: Tasks are distributed across nodes to balance system load.
    • Expandability: Adding nodes should be easy and minimally impact performance.
    • Performance: Parallel computing is a subset of distributed computing.

    Why Distributed Computing?

    • Performance:
      • Computing-intensive: Tasks requiring extensive computation, such as Pi value calculation using Monte Carlo simulation.
      • Data-intensive: Tasks dealing with large volumes or sizes of data, such as Facebook and LHC experimental data processing.
    • Robustness:
      • Eliminates single points of failure (SPOF).
      • Failed nodes can be replaced by other nodes executing the same task.

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    Description

    This quiz covers the basics of cloud computing, its architecture, and the properties of distributed systems. You'll explore key concepts like fault tolerance, resource sharing, and the significance of distributed computing in modern technology. Test your understanding of how these systems operate and their applications.

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