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

✍ Scribed by Meikang Qiu and Jiayin Li


Publisher
CRC Press (Taylor & Francis Group)
Year
2011
Tongue
English
Leaves
226
Category
Library

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✦ Synopsis


Ubiquitous in today’s consumer-driven society, embedded systems use microprocessors that are hidden in our everyday products and designed to perform specific tasks. Effective use of these embedded systems requires engineers to be proficient in all phases of this effort, from planning, design, and analysis to manufacturing and marketing.

Taking a systems-level approach, Real-Time Embedded Systems: Optimization, Synthesis, and Networking describes the field from three distinct aspects that make up the three major trends in current embedded system design.

The first section of the text examines optimization in real-time embedded systems. The authors present scheduling algorithms in multi-core embedded systems, instruct on a robust measurement against the inaccurate information that can exist in embedded systems, and discuss potential problems of heterogeneous optimization. The second section focuses on synthesis-level approaches for embedded systems, including a scheduling algorithm for phase change memory and scratch pad memory and a treatment of thermal-aware multiprocessor synthesis technology. The final section looks at networking with a focus on task scheduling in both a wireless sensor network and cloud computing. It examines the merging of networking and embedded systems and the resulting evolution of a new type of system known as the cyber physical system (CPS).

Encouraging readers to discover how the computer interacts with its environment, Real-Time Embedded Systems provides a sound introduction to the design, manufacturing, marketing, and future directions of this important tool.

✦ Table of Contents


Front Cover......Page 1
Contents......Page 6
Preface......Page 12
Acknowledgments......Page 14
Authors......Page 16
1. Introduction to Real-Time Embedded Systems......Page 18
2. Optimization for Real-Time Embedded Systems......Page 42
3. Multicore Embedded Systems Design......Page 60
4. Resource Allocation with Inaccurate Information......Page 84
5. Heterogeneous Parallel Computing......Page 98
6. Scheduling for Phase Change Memory with Scratch Pad Memory......Page 116
7. Task Scheduling in Multiprocessor to Reduce Peak Temperature......Page 142
8. Networked Sensing and Monitoring Systems......Page 160
9. Battery-Aware Scheduling for Wireless Sensor Network......Page 176
10. Adaptive Resource Allocation in Cloud Systems......Page 192
Bibliography......Page 204


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