Skip to main content

Types of Operating Systems

Operating systems are fundamental software components that manage computer hardware and software resources, serving as an interface between the user and the computer.

The evolution of operating systems has seen significant changes, driven by advancements in hardware and changing user demands (Jia et al., 2024). Early operating systems were designed for sequential processing, while modern OS are complex systems capable of managing diverse tasks and environments .

Types of Operating Systems

Operating systems can be broadly classified based on their design philosophy, resource management, and the environment they are intended for.

Batch Operating Systems

Batch systems are among the earliest types of operating systems. Their primary idea was to process a series of user programs, known as a "batch," sequentially . In these systems, jobs with similar characteristics were grouped and executed one after another without direct user interaction. Once a job was submitted, it was out of the user's hands, with execution dependent on the OS characteristics (Madron, 1979). This approach aimed to maximize CPU utilization by automating job preparation and execution, reducing processor idle time . However, they suffered from low throughput and were not suitable for interactive environments .

Time-Sharing Operating Systems

Emerging as an advancement from batch processing, time-sharing systems allow multiple users to interact with a single computer simultaneously . These systems achieve this by rapidly switching the CPU among multiple programs, giving each user the illusion that they have continuous access to the computer (“Foundations of Computer Science,” 1978; Ghose, 2024). This temporal multiplexing involves allocating small, predetermined periods (scheduling quanta) to each program, after which the CPU switches to another pending program . Time-sharing systems typically employ preemptive multitasking and scheduling techniques like Round-Robin to manage CPU allocation efficiently .

Single-User Systems

These operating systems are designed to support a single user at a time. They can be further categorized:

  • Single-user, Single-task Systems: These systems allow one user to perform one task at a time. They are often found in handheld devices where the focus is on performing a specific function effectively .

  • Single-user, Multi-tasking Systems: This is the most common type for personal computers like desktops and laptops (e.g., Windows and macOS). They enable a single user to run multiple programs or perform several tasks concurrently .

Multi-User Operating Systems

Multi-user operating systems permit multiple users to access the same data or information and resources simultaneously, often via a network. These systems ensure fair resource allocation and prevent conflicts among active users. Examples include server operating systems and Linux, which is widely used in supercomputers and data centers (Thangavel et al., 2019).

Multiprocessing Operating Systems

Multiprocessing systems are designed to utilize multiple central processing units within a single computer system. All processes operate under a single OS, and the key benefits include enhanced performance, increased system throughput, and faster execution of individual processes.

Network Operating Systems

Network operating systems manage resources, users, and data across a network. They facilitate sharing of files, printers, and applications among connected computers, and their core function is to provide network services. NOS are responsible for resource management and implementing security policies within the network environment. While conceptually similar to single-processor operating systems, they focus on distributed resource management and security for networked applications (Paladi & Gehrmann, 2015; Tanenbaum, 1992).

Distributed Operating Systems

Distributed operating systems manage a collection of mostly autonomous processors that communicate over a network, creating the illusion of a single, cohesive system. Key characteristics include the absence of a common physical clock and shared memory, relying on message-passing for communication. DOS address issues such as communication primitives, naming and protection, resource management, and fault tolerance, providing services like file, print, and process management across the distributed environment (Tolentino, 2010).

Real-Time Operating Systems

Real-time operating systems are specialized OS designed for systems where the correctness of operations depends not only on logical results but also on the strict time constraints (deadlines) within which those results are produced (Babamir, 2012; Kavi et al., 2009). RTOS must guarantee responses within these strict time constraints (Babamir, 2012). These systems are categorized by the strictness of their deadlines:

  • Hard real-time systems: Missing a deadline can lead to catastrophic consequences and system failure, as seen in safety-critical applications like car airbag control units or aircraft control systems (Williams, 2006).

  • Firm real-time systems: Missing a deadline makes the result useless but does not cause system damage, though frequent misses degrade usefulness .

  • Soft real-time systems: Missing a deadline is tolerable and the result may still have some utility, though performance degrades.
    RTOS achieve real-time capability by scheduling tasks according to priorities to meet these deadlines (Niesler et al., 2021).

Embedded Operating Systems

Embedded systems are optimized for specific tasks and run on devices with limited resources, such as smart home devices, automotive electronics, and industrial automation. These operating systems prioritize real-time performance, reliability, and efficient resource management. Examples include uClinux, FreeRTOS, and VxWorks. They can range from minimalist monolithic firmware without OS abstraction to systems running general-purpose OS kernels like Linux, albeit with a more minimalist approach (Avoine & Hernández-Castro, 2021; Corteggiani, 2020; Muench, 2019).

Mobile Operating Systems

Mobile operating systems are specifically designed for smartphones, tablets, and other mobile devices. They focus on power efficiency, user experience, and supporting on-the-go connectivity and applications. Prominent examples include Android (by Google) and iOS (by Apple Inc.) (Adekotujo et al., 2020).

Desktop Operating Systems

Desktop operating systems provide robust functionalities and user-friendly interfaces for personal computers. They aim to maximize user experience, convenience, and responsiveness. Windows, macOS, and various Linux distributions are the most common desktop operating systems (Adekotujo et al., 2020; Thangavel et al., 2019).

Server Operating Systems

Server operating systems are specialized for server environments, optimized for network and server hardware performance (Jia et al., 2024). They are designed to deliver scalable and resilient services for enterprises and data-intensive tasks by leveraging extensive resources. These OS are equipped with efficient network stacks for high bandwidth and low latency, optimized for multi-core processors, large memory, and high-speed storage. They excel at high concurrency handling and multitasking, managing thousands of simultaneous user requests and effectively allocating resources. Security is a critical feature, with multi-layer measures like firewalls, intrusion detection, data encryption, and regular auditing to protect sensitive information. Server OS, such as Linux, are favored for their stability and security, playing a crucial role in maintaining the availability of application servers (Bajgorić, 2017; Zeynalli, 2023).

Conclusion

Operating systems are the cornerstone of modern computing, evolving significantly to meet diverse technological demands. From the earliest batch processing to today's cloud-based and mobile platforms, each type of OS is tailored to specific requirements and operational contexts, demonstrating remarkable adaptability and innovation . Their continued development is crucial for facilitating technological advancements and enhancing the efficiency and responsiveness of computing across a wide array of devices.

Comments

Popular posts from this blog

A Comparative Study of Deep Learning Architectures for Chest X-Ray Image Classification

Comparative Analysis of Deep Learning Models for Chest X-Ray Image Classification Author: Akrash Noor, Saba Latif & Hifzun Nisa | Published: December 21, 2025 | Category: AI · Medical Imaging · Deep Learning Introduction Medical imaging has become an important aspect in the contemporary healthcare and especially the diagnosis of thoracic diseases utilizing the images of chest X-ray. In recent years, artificial intelligence has advanced significantly, and convolutional neural networks that are based on deep learning have demonstrated impressive results in the domain of automated disease detection and classification. This paper compares and contrasts several deep learning models that are trained on chest X-ray data with PyTorch and TensorFlow in their accuracy, generalization, and computational efficiency. Deep Learning Models Used Custom Convolutional Neural Networks (CNN) ResNet (Residual Networks) DenseNet VGG-styl...

AI-Driven Protein Designer for Cancer Therapy

Deep Learning Based Protein Design for Targeted Cancer Treatment Author: Akrash Noor & Saba  | Published: September 10, 2025 | Category: AI, Bioinformatics, Cancer Therapy This article presents a mathematical and computational overview of an AI-driven protein design framework for cancer therapy . It explains how artificial intelligence can assist in designing novel proteins that selectively target cancer-related biomarkers. 1. Protein Sequence Representation A protein can be represented as a sequence of amino acids: P = (a₁, a₂, a₃, …, aₙ), aᵢ ∈ A n is the length of the protein A represents the 20 standard amino acids Each amino acid is converted into a numerical vector using encoding techniques such as one-hot encoding or learned embeddings: aᵢ → xᵢ ∈ ℝᵈ 2. AI-Based De Novo Protein Generation Protein design is treated as a sequence generation problem: P* = arg max P p(P...

Process vs Threads

Process vs Threads in Operating Systems Process vs Threads in Operating Systems Operating System Course Article Introduction An operating system is responsible for managing system resources and ensuring that multiple programs run efficiently at the same time. Modern systems perform multitasking by executing several activities concurrently. To achieve this, operating systems rely on two fundamental execution units: processes and threads . Although both represent executing tasks, processes and threads differ in memory usage, execution speed, communication methods, and reliability. Understanding these differences is essential for learning CPU scheduling, concurrency, and parallelism. What is a Process? A process is a program that is cur...