Distributed Computing in Advances in Computing
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Questions and Answers

What is the main advantage of distributed computing in terms of cost?

  • It has no effect on the overall computing cost.
  • It reduces the overall computing cost. (correct)
  • It increases the overall computing cost.
  • It is not related to the computing cost.
  • What is the primary difference between serial computing and parallel computing?

  • Speed of execution.
  • Type of programming language used.
  • Sequence of instruction execution. (correct)
  • Number of processors used.
  • What is the primary characteristic of grid computing?

  • Unused resources are not utilized.
  • Multiple processors with a shared memory.
  • Programs are executed sequentially.
  • Computing power is readily available like electric power. (correct)
  • What is a disadvantage of parallel computing?

    <p>Program portability issues.</p> Signup and view all the answers

    What happens in a distributed computing system when a node fails?

    <p>The system works with reduced performance.</p> Signup and view all the answers

    What is a major advantage of Grid computing?

    <p>Able to solve large and complex problems in short time</p> Signup and view all the answers

    What is a limitation of Cluster computing?

    <p>Programmability issue</p> Signup and view all the answers

    Which of the following is a characteristic of Cloud computing?

    <p>It is a pay-per-use model</p> Signup and view all the answers

    What is a disadvantage of Cloud computing?

    <p>Security and privacy concerns</p> Signup and view all the answers

    What is SaaS in Cloud computing?

    <p>Software as a Service</p> Signup and view all the answers

    Study Notes

    Distributed Computing

    • Distributed computing is a method of computer processing in which different parts of a program are run simultaneously on two or more computers that are communicating with each other over a network.
    • Advantages: Economical, Speed, Reliability, and Scalability.
    • Disadvantages: Complexity, Security, and Network reliance.

    Paradigms in Distributed Computing

    • Parallel computing: Performs many calculations simultaneously, by dividing the problem into smaller ones.
    • Grid computing: Computing power is readily available like electric power, so that unused resources on the grid is being used.
    • Cluster computing: A group of personal computers, storage devices, etc. are linked together so that they can work like a single computer.
    • Cloud computing: A computing model, where resources such as computing power, storage, network and software are combined and provided as services on the Internet in a remotely accessible fashion.

    Parallel Computing

    • Problem is broken into discrete parts that can be solved concurrently.
    • Advantages: Fault tolerance, Resource sharing, Load sharing, and Scalability.
    • Disadvantages: More complex, and Program portability issues.

    Grid Computing

    • Advantages: Able to solve large and complex problems in short time, Makes better use of existing hardware, and Scalable.
    • Disadvantages: Processing speed depends on the speed of interconnection, and Licensing issues across different servers may affect working of certain applications.

    Cluster Computing

    • Advantages: Price-performance ratio, Availability, and Scalability.
    • Disadvantages: Programmability issue, and Fault identification issue.

    Cloud Computing

    • Advantages: Cost savings, Scalability, Reliability, Maintenance, and Mobile accessible.
    • Disadvantages: Security & Privacy, and Lack of standards.

    Cloud Service Models

    • Three service models: SaaS (Software as a Service), IaaS (Infrastructure as a Service), and PaaS (Platform as a Service).
    • SaaS: An application is offered to the customer as a service on demand.

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    Description

    Distributed Computing is a method of processing in which different parts of a program are run simultaneously on multiple computers communicating over a network. It has advantages such as being economical, increasing speed, reliability, and scalability.

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