Types of Operating Systems

Different Types of Operating System

Operating systems (OS) are the backbone of modern computer systems, enabling the management and execution of various tasks and applications. They serve as an interface between the hardware and software components, facilitating communication and resource allocation.

In this article, we will explore different types of operating systems and their characteristics.

Types of Os

Different Types of Operating Systems 

Different kinds of operating systems are available some of the important ones are –

  • Batch System
  • Distributed Operating System
  • Time Sharing System
  • Desktop System
  • Multiprocessor System
  • Clustered System
  • Realtime Operating System
  • Handheld System

As we all know that a computer has lots of inbuilt power and mathematical computing available. The operating system manages all the power provided by the computing system and performs basic tasks like managing different files, processes and UI rendering thus, you can call an operating system as the as the basic unit which is responsible to perform all the task.

For different kinds of computers different types of OSes are suitable we will discuss most important ones detail below –

Batch System:

  • Definition: A batch system is an operating system that processes a set of similar tasks or jobs in a batch mode without any user interaction.
  • Characteristics: It executes jobs one after another, without requiring user intervention for each task.
  • Usage: Batch systems are commonly used in scenarios where a large number of similar tasks need to be processed efficiently, such as payroll processing or large-scale data processing.

Distributed Operating System:

  • Definition: A distributed operating system is a system that runs on multiple interconnected computers and enables them to work together as a single cohesive unit.
  • Characteristics: It allows resource sharing, load balancing, and fault tolerance across multiple machines in a network.
  • Usage: Distributed operating systems are used in distributed computing environments where multiple computers collaborate on a task, such as in cloud computing or distributed databases.

Time Sharing System:

  • Definition: A time-sharing system, also known as a multitasking system, allows multiple users to concurrently share the resources of a single computer.
  • Characteristics: It divides the CPU time among multiple users, providing each user with the illusion of having their own computer.
  • Usage: Time-sharing systems are commonly used in scenarios where multiple users need to access and utilize a computer’s resources simultaneously, such as in interactive computing or server environments.

Desktop System:

  • Definition: A desktop system refers to an operating system designed for personal computers or workstations used by individual users.
  • Characteristics: It provides a graphical user interface (GUI) and a range of applications for general-purpose computing tasks.
  • Usage: Desktop systems are widely used by individuals for tasks such as web browsing, document processing, multimedia consumption, and software development.
Types of Operating Systems
  1. Consider an example of a very good football team like FC Barcelona it has a lot firepower in terms of players like Messi Suarez pique Iniesta and others.
  2. Now any great football team maybe FC Barcelona needs a manager so that all its players which may perform attacking functions are defending mid fielding, to be coordinated. Here is where the role of a football manager comes as he coordinates or together to form best.
  3. You can say the same for an Operating System Operating systems combines all the computing provided by the system harmoniously so that efficient work is taking place.
  4. A personal computer needs OS that focusses more on UI Rendering, ease of use and more suitable for accessing Internet
    1. A supercomputer like a server needs to only focus on speed of execution and faster processing and thus has different requirements.
    2. A storage computer like ones used for Google Drive or Dropbox needs to be better in compression technologies and delivering memory units to user faster.

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Consider going to a McDonald’s outlet

  • When used to order do you directly speak to the person whose cooking your burger no right !!!
  • You speak to cashing manager who takes your order then takes the money and then send the order to today cooking team
  • The Cooking team, which then prepare your order, and uses its intelligence to sort different type of Orders so some orders, only have fries and are directly provided to the fries person and some orders which are only vegetarian orders he directly provides it to the vegetarian counter

Thus two words – Intermediate person(Cashing Manager) and Intelligence.

Similarly, in a batch operating systems the communication does not happen with the computing power or the computer directly the OS uses its intelligence to sort different types of jobs coming and group them together based on jobs which may have similar characteristics like requirement of a similar input or a similar resource.

And the system after grouping processes into batches sends to the CPU.

Highlights –

  • Uses intelligence to group processes which are similar in terms of size or I/O required or file needed access to.
  • No direct communication between Computer and the User, OS acts as intermediate.

Advantages

  • Can use AI to guess approximate time that a process will queue. (By analysing requirements of Process)
  • Supports mutli-user.
  • Less Idle time for system

Disadvantages

  • In case of failure of execution of any job the other jobs in the queue will have to wait
  • Since most of batch operating systems used artificial intelligence does it is very important for us to train them with the large data set so that they can perform in an efficient manner
  • From coders perspective it might become a Nightmare if you’ve to find out what’s the error in the system
  • Not Fail safe, loss of main resource batcher may put whole system to shutdown.
  • Efficient Processing: Batch systems are designed to process a large number of similar tasks without user intervention, allowing for efficient utilization of resources and increased throughput.
  • Resource Optimization: By grouping similar jobs together and executing them in batches, batch systems can optimize resource allocation and minimize idle time.
  • Automated Execution: Batch systems automate the execution of tasks, reducing the need for manual intervention and enabling unattended processing.

Modern Implementations and Applications of Batch Operating Systems

Modern applications and implementations of operating systems are diverse and play a crucial role in numerous technological advancements. Here are some notable examples:

  1. Mobile Devices and Smartphones:

    • Operating systems like Android and iOS power mobile devices, providing a platform for a wide range of applications.
    • These operating systems enable seamless communication, app distribution, and integration with various mobile hardware components.
  2. Internet of Things (IoT):

    • Operating systems designed specifically for IoT devices manage the connectivity and interaction between smart devices.
    • These operating systems enable efficient data processing, secure communication, and remote management of IoT ecosystems.
  3. Cloud Computing:

    • Operating systems play a significant role in cloud computing infrastructure, managing virtual machines and containerized environments.
    • They ensure resource allocation, scalability, and secure data handling in cloud platforms like Amazon Web Services (AWS) and Microsoft Azure.

Conclusion

Operating systems are the backbone of modern computing, enabling users to interact with their devices and harness the power of software applications.

From single-user systems to real-time applications and networked environments, various types of operating systems cater to specific needs and requirements. Understanding the different types of operating systems empowers users to choose the right platform for their intended purposes and maximize their computing experience.

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