A batch operating system, also known as a batch processing system, is a type of operating system that performs data processing in large batches. Jobs are executed in batch processing without user interaction or intervention. Batch operating systems were common in the early days of computing, when computers were used primarily for scientific and engineering calculations, as well as data processing.
Who Invented Batch Operating System ?
When computers were initially utilised for extensive corporate and scientific purposes in the late 1950s and early 1960s, the idea of a batch operating system (Batch OS) was first developed. By developing a system that could run numerous applications sequentially without human involvement, it was intended to automate the processing of massive amounts of data. The IBM OS/360, created by IBM in the early 1960s, was the first operating system to incorporate batch processing. A huge operating system called OS/360 supported a variety of computer hardware and was built to perform a range of computing tasks, including business applications and scientific calculations.
In the early days of computers, batch processing was also implemented by Univac's Exec 8 and Burroughs' MCP. These early batch systems laid the way for the creation of contemporary operating systems, which still employ the idea of batch processing.
How Batch Operating System Works ?
Batch OS requires the following steps to function:
The first step is to send the job to the Batch OS. Jobs can be submitted in a variety of ways, including via command line interface or graphical user interface. The user specifies the name of the programme to be run, as well as the input and output data locations.
As immediately as the jobs are submitted, the Batch OS prioritises each one according to its significance and queues them. According to their priority, the jobs are subsequently processed one by one. Which job will be executed next is determined by the scheduling algorithm. The job is given the appropriate resources by the Batch OS, including CPU time, memory, and input/output devices. The operating system's resource management accomplishes this by keeping track of the resources that are available and allocating them to the jobs as necessary.
The Batch OS puts the software into memory and starts running it after the resources have been allocated. The operating system checks for faults and exceptions to make sure the programme is running properly. The output is written to a designated destination, such as a disc file, a printer, or a tape, once the programme execution is finished. The output is generated accurately and made available to the user thanks to the Batch OS.
If any faults or exceptions arise while the task is being executed, the Batch OS notifies the user and terminates the job. Also, the operating system has the option to restart batch processing or perform the job again. Each job's execution time, CPU use, and other resource usage are tracked by the Batch OS. In order to charge the user for the resources utilised by their jobs, this information is needed for accounting purposes.
When all of the jobs in the queue have been finished, the Batch OS finally shuts down the system to make room for the upcoming batch processing cycle.
What are the Benefits of Batch Operating System ?
Batch Operating System are frequently employed in corporate and scientific applications where it is necessary to effectively process massive amounts of data. The following are some benefits of batch operating systems:
Resource Optimization: Batch operating systems are made to make the best possible use of the available computer power. When jobs are executed in batches, the system may schedule and prioritise them to best use its resources. To make the most use of the resources available, a batch operating system, for instance, can give jobs that use less memory or processing power precedence over those that demand more.
Increased Efficiency: Batch operating systems are very effective because they automate job execution, requiring no human involvement. As a result, jobs can be processed more quickly and effectively than if they were manually carried out. Batch operating systems also lessen the possibility of errors that could happen when tasks are carried out manually, which further boosts productivity.
Increased Productivity: Productivity can be increased by using batch operating systems, which enable businesses to process enormous volumes of work rapidly and effectively. For instance, instead of taking days or weeks, a batch operating system can be used to process the payroll information for thousands of employees in a couple of hours.
Improved Job Management: Batch operating systems offer a centralised job management system that makes it simple for businesses to handle and keep track of jobs. This can ensure that tasks are completed in the proper order and that any faults are immediately found and fixed.
Scalability: Batch operating systems are very scalable, allowing them to handle massive volumes of work as the business expands. They are therefore perfect for businesses with unexpected workloads or those that are growing quickly.
What are DisAdvantages of Batch Operating System ?
Batch processing has a number of drawbacks in modern computing systems, despite being popular in the past. The following are some of the major disadvantages of batch operating systems:
Lack of Interaction: Batch operating systems are made to run tasks without requiring user interaction. This implies that the user has no input or influence over how a job is executed. Before engaging with the system once more, the user must wait for the job to be completed. Users who need to make adjustments or offer input while a project is being done may find this lack of engagement to be a source of frustration.
Limited Responsiveness: Systems for batch processing are made to carry out tasks in the sequence in which they are received. This means that if a work is submitted later, it will not be completed until all of the earlier jobs have finished. Those that require quick results may have an issue with this lack of reactivity.
Inefficient Resource Utilization: In order to complete a job, batch processing systems frequently have to wait for resources to become available. For instance, the batch processing system might have to wait for these resources to become available before starting a job if it needs a specific input/output device or a lot of memory. Resources may become idle as a result, which is an ineffective use of system resources.
Furthermore, batch processing systems could allocate additional resources than required to a task, wasting those resources. The batch processing system will squander resources that could have been used by other jobs.
Limited Error Detection and Recovery: Systems for batch processing do not offer real-time error detection and recovery. The entire batch might need to be re-run if a job fails. This can take a lot of time and could cause data loss. For instance, if a job finds a problem in the middle of execution, the batch processing system might not be able to identify it right away. This can cause the batch as a whole to be executed erroneously. Furthermore, since batch processing systems do not offer real-time error detection, it could be challenging to identify the mistake's root cause and repair it.
Increased Complexity: Establishing and managing batch processing systems can be challenging. To configure and manage them, specialised expertise and abilities are needed. Moreover, batch processing systems could need extra hardware or software to work effectively, which could raise the system's overall cost.