Operating system scheduling algorithms decide how processes are handled by the CPU. From real-time IoT tasks to embedded systems development, choosing the right algorithm boosts system efficiency, speed, and responsiveness.
Operating systems lie at the heart of all computing devices—from IoT sensors to advanced embedded systems. One of their most vital roles is managing how tasks are executed through scheduling.
A process is a program that is currently executing. When a program is loaded into memory and starts execution, it becomes a process. This is a core concept in any operating system and is especially relevant in the best embedded systems course in Bangalore, where students must understand how multitasking and resource allocation work.

A process scheduler is a part of the operating system responsible for selecting which process in the ready queue should be executed by the CPU next. This component plays a crucial role in managing CPU resources efficiently, particularly in IoT applications and embedded systems, where performance is paramount.
Scheduling algorithms are the methods used to decide the order in which processes are executed. These algorithms are broadly classified into:
– Preemptive Scheduling: Higher-priority processes can interrupt lower-priority ones.
– Non-Preemptive Scheduling: Once a process starts execution, it cannot be stopped until it finishes.
In operating systems, various scheduling algorithms determine how processes are selected for execution. Each algorithm has unique characteristics suited for different types of systems, especially in embedded and IoT environments.
Understanding the difference between preemptive and non-preemptive scheduling is key to designing responsive and efficient systems. These methods impact how the CPU handles process prioritization and task switching.
Enables better responsiveness and priority handling.
Ideal for real-time IoT systems and multitasking environments.
Common in interactive applications requiring immediate attention.
Simpler and has lower overhead.
Suitable for batch processing systems or non-interactive embedded devices.
These scheduling decisions directly impact system performance, especially in devices with limited resources, such as IoT sensors and microcontroller-based projects taught in the best embedded systems courses.
Choosing the right scheduling algorithm is crucial in designing responsive and efficient systems. Whether you’re building a real-time IoT device or working with a multitasking embedded system, understanding these scheduling methods helps optimize CPU usage and system behavior.
These algorithms are key modules taught in the best embedded systems course in Bangalore with placement support, ensuring that students gain both theoretical knowledge and practical insights.
If you’re looking to master these concepts hands-on, join the best embedded systems course in Bangalore with placement or the best IoT training institute in Bangalore. Learn not just theory, but real-world applications that prepare you for a successful tech career.
Q: Which scheduling algorithm is best for real-time embedded systems?
A: Round Robin and Priority Scheduling are commonly used due to their responsiveness and flexibility.
Q: Is FCFS suitable for IoT-based applications?
A: Not usually. FCFS can lead to high waiting times, which is not ideal for time-sensitive tasks in IoT systems.
Q: Is Shortest Job First (SJF) suitable for real-time embedded systems
A: No, because the exact execution time of a process is usually unknown in real-time environments.
Q: Why are CPU scheduling algorithms important in Embedded & IoT systems?
A: They teach how to manage limited CPU and memory resources effectively—core challenges in embedded system design.
Indian Institute of Embedded Systems – IIES