Real-time Embedded Systems for Practicing Engineers
Description
The course is designed for practicing engineers to refresh the embedded software development techniques and to discuss task-scheduling approaches. The students are assumed to have some experience of developing embedded systems. Beginning with embedded software programming, we will show the software structures of concurrent tasks and the scheduling issues for real-time systems. The rate monotonic analysis approach will be explained and its applications to various situations will be illustrated. The rest of the class will be devoted to the discussion of emerging development approaches, including component-based and model-based approaches, and runtime support.
Course Outline
- 1. Introduction and overviews (1.5 hour)
- development environment
- operating systems
- 2. Embedded software programming: (1.5 hour)
- never-ending tasks,
- periodic and aperiodic tasks,
- inter-task communication,
- overrun management and imprecise computation
- 3. Scheduling and analysis: (7 hours)
- cyclic scheduling and rate-monotonic scheduling
- resource sharing, priority inversion and inheritance
- aperiodic sever
- schedulability analysis
- 4. Emerging issues: (2 hours)
- RTSJ and virtual machine
- Component-based model-driven development, including TinyOS, Rational Rose RT, Matlab Real-time Workshop.
Intended Audience
Hardware and software engineers who have a prior knowledge or experience on embedded system development and wish to learn embedded software programming, scheduability analysis, and emerging issues.
Prerequisites
Knowledge or experience of developing embedded systems with real-time operating systems.
Where and When
- This course is taught for 12 hours in a regular classroom.
- Note: You must attend all 12 hours to complete the course.
COURSE TESTIMONIALS
When asked what they liked most about this course, past participants commented on the following:
- Well organized
- Clearly presented
- Logical flow of information
- Provided with thorough information
- Course material is very clear and readable
- Relevant to current work
- Future development of EBS
- Good class interaction
- Dr. Lee was extremely well versed on this topic, his knowledge made the course enjoyable
- Instructor was very clear in communication
Course Information
Instructor
- Yann-Hang Lee, Arizona State University, Computer Science and Engineering
Cost
- Without CEU’s: Sponsors/Associates - $375; Affiliates/Members - $450; Non-members - $742.50
- With CEU’s: Sponsors/Associates - $450; Affiliates/Members - $525; Non-members - $817.50
How to Register
- Please register online or contact the JACMET office at 480/727-1519.