Real-Time Embedded Systems: Optimization, Synthesis, and Networking

ISBN-13: 9780367382674 / Angielski / Miękka / 2019 / 231 str.

Meikang Qiu; Jiayin Li

Opis

Taking a systems-level approach, this book describes the three major trends in current embedded system design. It begins with an introduction to the overall state of the field before examining optimization in terms of scheduling algorithms in multi-core embedded systems, safeguards against inaccurate information, and the challenges of heterogeneous optimization. It describes synthesis-level scheduling algorithms for phase change memory and scratch pad memory as well as thermal-aware multiprocessor synthesis technology. The book concludes with a look at networking, focusing on scheduling in a wireless sensor network and cloud computing.

Spis treści

Introduction to Real-Time Embedded Systems. Optimization for Real-Time Embedded Systems. Multi-Core Embedded Systems Design. Resource Allocation with Inaccurate Information. Heterogeneous Parallel Computing. Scheduling for Phase Change Memory with Scratch Pad Memory. Task Scheduling in Multiprocessor to Reduce Peak Temperature. Networked Sensing and Monitoring Systems. Battery-Aware Scheduling for Wireless Sensor Network. Adaptive Resource Allocation in Cloud Systems. Bibliography.

O autorze

Meikang Qiu is an assistant professor in the Department of Electrical and Computer Engineering at the University of Kentucky. An IEEE senior member, Dr. Qiu has published more than 100 peer-reviewed journal and conference papers and has served as program chair of several conferences. He has also won three Best Paper Awards in the last two years. He earned a Ph.D. in computer science from the University of Texas at Dallas. His research interests include embedded systems, computer security, and wireless sensor networks.

Jiayin Li is pursuing his Ph.D. in the Department of Electrical and Computer Engineering at the University of Kentucky. His research interests include software/hardware co-design for embedded systems and high performance computing.