Automating the Processes of Selecting an Appropriate Scheduling Algorithm and Configuring the Scheduler Implementation for Time-Triggered Embedded Systems 1st edition by Ayman K. Gendy, Michael J. Pont – Ebook PDF Instant Download/Delivery. 3540876977, 978-3540876977
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ISBN 10: 3540876977
ISBN 13: 978-3540876977
Author: Ayman K. Gendy, Michael J. Pont
Predictable system behaviour is a necessary (but not sufficient) condition when creating safety-critical and safety-related embedded systems. At the heart of such systems there is usually a form of scheduler: the use of time-triggered schedulers is of particular concern in this paper. It has been demonstrated in previous studies that the problem of determining the task parameters for such a scheduler is NP-hard. We have previously described an algorithm (“TTSA1”) which is intended to address this problem. This paper describes an extended version of this algorithm (“TTSA2”) which employs task segmentation to increase schedulability. We show that the TTSA2 algorithm is highly efficient when compared with alternative “branch and bound” search schemes.
Automating the Processes of Selecting an Appropriate Scheduling Algorithm and Configuring the Scheduler Implementation for Time-Triggered Embedded Systems 1st Table of contents:
Introduction
- Overview of Time-Triggered Embedded Systems
- The Importance of Scheduling in Real-Time Systems
- Challenges in Selecting and Configuring Scheduling Algorithms
- Motivation for Automating the Selection and Configuration Processes
- Structure of the Paper
Background and Related Work
- Key Concepts in Time-Triggered Scheduling
- Types of Scheduling Algorithms for Embedded Systems
- Real-Time Scheduling Theory: EDF, RM, and Others
- Existing Approaches to Scheduler Configuration
- Related Work on Automation in Scheduling
Time-Triggered Systems and Scheduling Algorithms
- Time-Triggered Architectures: Principles and Design
- Scheduling Algorithms Overview: Static vs. Dynamic
- Characteristics of Time-Triggered Embedded Systems
- Performance Metrics for Scheduling Algorithms
- Key Considerations in Algorithm Selection for Time-Triggered Systems
Automating Scheduling Algorithm Selection
- Defining Criteria for Algorithm Selection
- Decision Models for Choosing the Appropriate Scheduling Algorithm
- Automation Techniques: AI, Machine Learning, and Optimization Approaches
- Integrating Performance Metrics into the Decision Process
- Case Studies of Scheduling Algorithm Selection Automation
Automating the Configuration of Scheduler Implementations
- Configuring the Scheduler for Different System Parameters
- Tools and Frameworks for Scheduler Configuration Automation
- Ensuring Compatibility Between Selected Algorithm and System Architecture
- Dynamic Configuration of Scheduling Parameters for Optimal Performance
- Evaluation of Configuration Automation Techniques
Integration of Selection and Configuration Processes
- Framework for Automated Selection and Configuration
- Workflow of the Automation System
- Interaction Between Selection, Configuration, and the Scheduler
- Case Study: End-to-End Automation of Scheduling in Embedded Systems
- Challenges in Integrating Algorithm Selection and Configuration Automation
Evaluation and Performance Analysis
- Simulation and Experimental Setup for Evaluating the Automation Process
- Comparing Manually Configured vs. Automated Scheduler Implementations
- Performance Metrics: Execution Time, Energy Efficiency, Latency, and Reliability
- Evaluation of Algorithm Selection and Configuration Automation
- Case Studies and Real-World Application Results
Practical Applications and Use Cases
- Time-Triggered Systems in Automotive, Aerospace, and IoT Applications
- Automated Scheduling for Multi-Core and Heterogeneous Systems
- Application in Safety-Critical and Mission-Critical Systems
- Deployment of the Automation Framework in Industry
- Future Trends in Time-Triggered Embedded Systems
Challenges and Future Directions
- Limitations of Current Automation Methods
- Handling Complex System Configurations and Heterogeneous Hardware
- Extending Automation to Support Mixed-Criticality Systems
- Integrating with Industry Standards and Real-World Constraints
- Future Research Directions in Scheduling Automation for Embedded Systems
Conclusion
- Summary of Contributions and Findings
- Impact of Automating Scheduling Algorithm Selection and Configuration
- Final Thoughts on the Future of Time-Triggered Systems
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