Real-Time Systems 101

Overview

Join us for an enlightening session on Real-Time Systems 101, where we break down complex concepts like challenges and scheduling critical to this field. Led by an experienced software architect, this presentation sheds light on the practical applications of real-time systems in the realm of modern computing.

Equally beneficial for enthusiasts of Artificial Intelligence and those interested in advancing their knowledge via Conference Talks.

This resource, available on YouTube, is brought to you by University, committed to delivering high-quality educational content across various categories, including Artificial Intelligence Courses and Conference Talks. Embrace this opportunity to deepen your understanding of a crucial computing aspect.

Syllabus

• Introduction to Real-Time Systems
Definition and Characteristics
Importance in Modern Computing
Comparison with Non-Real-Time Systems
• Challenges in Real-Time Systems
Real-Time Constraints and Requirements
Hard vs Soft Real-Time Systems
Resource Management and Constraints
• Real-Time Operating Systems (RTOS)
Features of RTOS
Overview of Popular RTOS Options
Real-Time Kernels and Benchmarks
• Scheduling in Real-Time Systems
Introduction to Scheduling Algorithms
Fixed-Priority vs Dynamic-Priority Scheduling
Rate Monotonic Scheduling (RMS)
Earliest Deadline First (EDF) Scheduling
• Inter-Process Communication in Real-Time Systems
Shared Memory and Message Passing
Real-Time Synchronization Techniques
Interrupt Handling and Latency Management
• Real-Time System Design and Development
System Architecture and Design Considerations
Software Development for Real-Time Systems
Debugging and Testing in Real-Time Environments
• Practical Applications of Real-Time Systems
Embedded Systems and IoT
Real-Time Data Processing
Real-Time Control Systems in Automation
• Case Studies and Real-World Examples
Real-Time Systems in Automotive and Aerospace
Telecommunications and Networked Systems
Healthcare and Medical Devices
• Future Trends and Advancements in Real-Time Systems
Integration with Artificial Intelligence and Machine Learning
Impact of Edge Computing and IoT
Cybersecurity Challenges and Solutions
• Course Review and Final Assessment
Summary of Key Concepts
Practical Exercise or Project
Final Examination and Evaluation

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Subjects

Conference Talks