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Real-time and Embedded Systems: Life Cycle, Ecosystem and Scheduling Trends establishes life cycles and ecosystems for real-time and embedded systems, highlighting design, implementation and test objectives challenges, approaches, and trends. The book outlines applications and supporting computing platforms, as well as enabling sciences and technologies. It examines the latest studies in real-time and embedded scheduling and presents a roadmap for future research on these topics. Technologies for managing real-time and embedded systems play a key role in areas such as aviation and industrial engineering, where missing a safety-critical real-time system deadline can lead to a human catastrophe. A real-time system is a system in which the notions of correctness and performance are joined together and defined as timeliness, which is described in terms of well-defined real time constraints. An embedded system is a computer system with limited processing power, memory and I/O resources that appears as a fabricated part of another system that can be mechanical, electrical, etc. Real-time and embedded systems serve to a variety of technological, medical and scientific applications. Task scheduling plays a significant role in meeting time constraints in real-time systems as well as resource constraints in embedded systems.
List of contents
1. Real-Time Systems: Life Cycle, Ecosystem and Trends 2. Real-Time Scheduling: Recent Trends and Future Roadmap 3. Embedded Systems: Life Cycle, Ecosystem and Trends 4. Embedded Scheduling: Recent Trends and Future Roadmap
About the author
Behrouz Zolfaghari received his PhD in Computer Engineering from Amirkabir University, Tehran, Iran. He did three postdocs at IIT (Indian Institute of Technology) Guwahati, University of Guelph (Canada) and Waseda University, Tokyo, Japan. He then joined Osaka University as an assistant professor. He is working as a visiting assistant professor at Miami University, Ohio, USA. His research area includes VLSI Design, High-Performance Computing, Information-Theoretic Cryptography, Hardware-Oriented Cryptography, AI-Assisted Cryptography and Secure AI.
Khodakhast Bibak is an Assistant Professor in the Department of Computer Science and Software Engineering at Miami University. Previously, he was a Postdoctoral Research Associate (September 2017 - August 2018) in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. Before this, Khodakhast was a Postdoctoral Research Fellow (May-August 2017) at the Department of Computer Science, University of Victoria, from where he also received his PhD (April 2017). He earned a Master of Mathematics degree (April 2013) at the Department of Combinatorics and Optimization, University of Waterloo, where he was also a member of the Centre for Applied Cryptographic Research (CACR). His research interests are Cybersecurity, Applied Cryptography, Quantum Information Science (QIS), Artificial Intelligence, and related areas.
