This document discusses distributed computing. It defines distributed computing as utilizing a network of computers to accomplish portions of an overall task to achieve results more quickly than a single computer. A distributed system consists of multiple autonomous computers that communicate through a network. Distributed computing chops large, complex tasks into smaller jobs that are distributed across multiple computers to improve efficiency and performance. The goals of distributed computing are to maximize performance by connecting users and IT resources in a cost-effective, transparent, and reliable manner. Applications include telecommunications, networks, real-time process control, and parallel computation. Advantages include lower costs, higher performance, scalability, and reliability while disadvantages are multiple points of failure, security concerns, and difficulty developing distributed software.

1. Distributed Computing-
Introduction, including Cloud
computing, Grid computing
Drishya A, Drisya K, Fathima

3. DISTRIBUTED COMPUTING

4. Definition
“ Distributed Computing utilizes a network of many
computers, each accomplishing a portion of an
overall task, to achieve a computational results much
more quickly than with a single computer.”
“A Distributed System consist of multiple
autonomous computers that communicate through a
computer network.”

5. Centralized Vs Distributed computing

6. ● It is a model in which components of a software
system are shared among multiple computers.
● A large complex task is chopped into little and the work-
load is distributed over a large number of computers, To
improve efficiency and performance.
● One computer will have to do small jobs, but every
computer works in unison.
Distributed Computing

8. ● As long as the computers are networked, they can
communicate with each other to solve the problem.
● The ultimate goal of distributed computing is to
maximize performance by connecting users and IT
resources in a cost-effective, transparent and reliable
manner.

9. Characteristics
1. Making resources accessible
2. Flexibility
3. coordinate the use of shared
resources
4. solve large computational
problems

10. Applications
1. telecommunication networks
2. network applications
3. real-time process control
4. parallel computation

11. Advantages
1. Cost
2. Performance
3. Scalability
4. reliability

12. Disadvantages
1. Multiple points of
failure
2. Security concerns
3. Distributed software
development is harder

13. Drisya K
Roll no 27