DISTRIBUTED COMPUTING

DIFFERENCE BETWEEN CENTRALIZED AND DISTRIBUTED COMPUTING

Distributed computing

   _Field of computing science that studies  distributed system.

   

   – Use of distributed systems to solve computational problems.

Distributed system

   – Wikipedia

       • There are several autonomous computational entities,

          each of which has its own local memory.

       • The entities communicate with each other by message

          passing.

  – Operating System Concept

       • The processors communicate with one another through            various communication lines, such as high-speed                      buses or telephone lines.

       • Each processor has its own local memory.

Example Distributed Systems

• Internet

• ATM (bank) machines

• Intranets/Work groups

• Computing landscape will soon consist of ubiquitous

  network-connected devices.

Computers in a Distributed System

• Workstations

• Server Systems

• Personal Assistance Devices

Why Distributed Computing?

• Nature of application

• Performance

• The task could consume a lot of time on computing. For example,

      Computation of Pi value using Monte Carlo simulation

   – Data intensive

• The task that deals with a large amount or large size of files. For example,

      Facebook.

• Robustness

   – No SPOF (Single Point Of Failure)

   – Other nodes can execute the same task executed on failed

      node.

Centralized computing.

Early computing was performed on a single processor. Uni-processor computing

can be called centralized computing.