This book reviews challenges of pervasive computing, including limitations and variation of hardware and networks; sensing and making sense of the world around our computing devices, algorithm and data structure choice for the designer or programmer and more.
This textbook is written for a high-level undergraduate or graduate course on real-time embedded systems or cyber-physical systems. Its practical approach to solving real-time problems also makes it an excellent choice for researchers and practitioners.
This is a unique programming guide for the Cell Broadband Engine. It demonstrates a large number of real-life programs to identify and solve problems in a broad range of subjects. There are numerous diagrams, mnemonics, tables, and charts.
In an updated edition, this book explores real-time computing, placing emphasis on predictable scheduling algorithms. Each chapter offers basic concepts followed by algorithms, illustrated with concrete examples, figures and tables, exercises and solutions.
This timely overview presents the fundamental principles and techniques involved with grids, clouds and virtualization technologies. The text serves as a guide for readers, presenting key concepts that allows them to develop an understanding of an area likely to play a significant role in coming years.
This book presents a framework that allows the very different kinds of design models – discrete-event models of software and continuous time models of the physical environment – to be analyzed and simulated jointly, based on common scenarios.