There are many different ways to process data, but whenit comes to "electronic data processing," there are some that are
very common. In almost every industry, these strategies are widely used. The
following is a description of some of the most common electronic data processingmethods, arranged in order of popularity:
Time-sharing, real-time processing, online processing,multitasking, interactive processing, batch processing, and distributed
processing are all briefly outlined below:
Time Divided: Numerous nodes connected to a centralprocessing unit (CPU) accessed the CPU. The amount of time allotted to each
user is controlled by a multi-user processing system. The Central Processing
Unit allows for sequential allocation of time slices by each user. The task
should be completed by the user within the allotted time frame. If the user is
unable to complete the task, another time slice can be used to complete it.
Instantaneous Processing: The primary goal of real-timeprocessing is to provide information that is accurate and current. When the
computer processes the incoming data, it is possible. It will inform the
immediate response of possible outcomes. It would have an impact on the coming
events. The best illustration of real-time processing is making reservations
for seats on trains and airplanes.
The reservation system updates the reservation file ifseats have been reserved. The process of obtaining the information's output through
real-time processing is almost instantaneous. When it comes to obtaining
output, this method saves the most time.
Processing on-line: The data are processed as soon asthey are received in this processing method. The computer can be directly
connected to the data input unit with the aid of a communication link. A
network terminal or online input device may be included in the data input.
Research and recording of information are the most common uses of online
processing.
Multiprocessing: Multiprocessing is the simultaneous useof multiple processors on the same computer to process multiple tasks.
Mainframes and network servers support this possibility. A computer may have
more than one independent CPU during this process. This significantly accelerates
data processing.
In a multiprocessing system, coordination can beachieved. The memory of the various processors is shared during this process.
The information is obtained by the processor from a distinct component of one
or more programs.
Multitasking: It is an important part of processing data.Multitasking is the practice of working with multiple processors
simultaneously. The various tasks in this process use the same processing
resource. Time-sharing operating systems are used in the process of multitasking.
Processing that is interactive: There are three kinds offunctions in this method. The various types of functions are as follows: Peak
detection Integration Quantitation This is an easy way to work with the
computer. This part of the process can compete with each other for resources.
Processing in bulk: A technique for processing organizeddata into distinct groups is batch processing. The processing data can be
divided into groups using this strategy over a set amount of time. The computer
can prioritize various interactions using the batch processing method. This
method is one of a kind and helpful for processing.
Processing that is distributed: Due to their connectionto a larger workstation, remote workstations typically employ this approach.
This procedure results in superior services for the customers. The businesses
can spread out the use of geographical computers through this process. ATMs are
the best illustration of this distributed processing strategy. The banking
system is connected to the ATMs.
