Centralized data processing means the various tasks or jobs coming from different dump terminal are collected and processed by single computer which is located at the center.The central processor having high power speed because the data need to be collected from dump terminal should be responded within short period of time.It means waiting time should be less and for this speed need to be high.Dump terminal is the terminal through which the user giving input and gets the output immediately
The user give input to the dump terminal then it is sent to the central processor, the central processor process the data and sent back to the terminal and user get the immediate response so terminals are many but it is processed by one centralized processor only.Inputs are coming from many terminal to one server and when data is processed it is sent to many terminals so output flow is one server to many terminal.Centralized processor having huge workload for this and to do so each job is allocated by time slice so time need to be shared between the jobs this is called time sharing and such kind of system is known as time sharing system.Now it's having one problem that if central processor is failed anyway then the terminal will not get the response. All the jobs immediately suspended and user also will not get the response that is the biggest disadvantage of such systems.
DISTRIBUTED DATA PROCESSING:-To understand this we need to know the concept of decentralization.In centralized processing work load is not distributed central processor or server is handling the workload alone if main server failed somehow the total system is failed, to overcome this the workload is need to be shared and in decentralization the work load is shared by more than one server.In centralization processing one single authority controlling the data but in decentralization processing many authority having the power to control the data and process the data.The decentralization was actually followed by a concept called distributed processing here computers are connected together by communication network so in this technique each computer can able to handle its own work load and take its own decision.
 Now from the diagram we can see that three no of server named A,B,C are connected with each other and each server connected with so many computer here it is shown as rounded dot circle .Work load is shared by three server and suppose one server is failed say C it will not create problem for other two A,B so whole systems will not fail at all.A distributed data processing system having the advantages of both centralized and decentralized system.A computer of one location can exchange data to the computer located at remote area and also processing the jobs to other computers at distant locations. |
