Energy Autonomy Of Real Time Systems

Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving as a textbook for courses on the topic in master programs, and as a reference for computer scientists and engineers involved in the design or development of autonomous cyber-physical systems which require up-to-date solutions. Develops theoretical models for energy-harvesting real-time systems, including theorems and schedulability analysis Contains scheduling algorithms that are rigorously derived from the theory, based on both real-time and energy constraints Covers future, potential applications centered on the use of self-powered sensor technologies Provides the methodology for developing autonomous real-time systems based on energy harvesting

Energy Autonomy of Batteryless and Wireless Embedded Systems covers the numerous new applications of embedded systems that are envisioned in the context of aeronautics, such as sensor deployment for flight tests or for structural health monitoring. However, the increasing burden of on-board cabling requires wireless solutions. Moreover, concerns such as safety or system lifetime preclude the use of electrochemical energy storage. Ambient energy capture, storage and management are therefore key topics. This book presents these concepts and illustrates them through actual implementations in airliners. With five years of experience within this specialist field, the authors present results from actual flight tests via a partnership with Airbus. Basic concepts are summarized, together with practical implementations in airliners, enriching the book through the very specific aspects related to embedded systems deployed in aircraft. This book will appeal to both students and practising engineers in the field. Features a complete study of the energy management architecture, from general concepts to specific applications Presents results from thorough studies on electrostatic energy storage Provides hands-on consideration of industrial implementations in airliners, specifically in harsh environments Includes actual results obtained from flight tests

Real-time systems are used in a wide range of applications, including control, sensing, multimedia, etc. Scheduling is a central problem for these computing/communication systems since it is responsible for software execution in a timely manner. This book, the second of two volumes on the subject, brings together knowledge on specific topics and discusses the recent advances for some of them. It addresses foundations as well as the latest advances and findings in real-time scheduling, giving comprehensive references to important papers, but the chapters are short and not overloaded with confusing details. Coverage includes scheduling approaches for networks and for energy autonomous systems. Other sophisticated issues, such as feedback control scheduling and probabilistic scheduling, are also addressed. This book can serve as a textbook for courses on the topic in bachelor's degrees and in more advanced master's degree programs. It also provides a reference for computer scientists and engineers involved in the design or the development of Cyber-Physical Systems which require up-to-date real-time scheduling solutions.

4 zettabytes (4 billion terabytes) of data generated in 2013, 44 zettabytes predicted for 2020 and 185 zettabytes for 2025. These figures are staggering and perfectly illustrate this new era of data deluge. Data has become a major economic and social challenge. The speed of processing of these data is the weakest link in a computer system: the storage system. It is therefore crucial to optimize this operation. During the last decade, storage systems have experienced a major revolution: the advent of flash memory. Flash Memory Integration: Performance and Energy Issues contributes to a better understanding of these revolutions. The authors offer us an insight into the integration of flash memory in computer systems, their behavior in performance and in power consumption compared to traditional storage systems. The book also presents, in their entirety, various methods for measuring the performance and energy consumption of storage systems for embedded as well as desktop/server computer systems. We are invited on a journey to the memories of the future. Ideal for computer scientists, featuring low level details to concentrate on system issues Tackles flash memory aspects while spanning domains such as embedded systems and HPC Contains an exhaustive set of experimental results conducted in the Lab-STICC laboratory Provides details on methodologies to perform performance and energy measurements on flash storage systems

Failures caused by electrostatic discharges (ESD) constitute a major problem concerning the reliability and robustness of integrated circuits and electronic systems. This book summarizes the many diverse methodologies aimed at ESD protection and shows, through a number of concrete studies, that the best approach in terms of robustness and cost-effectiveness consists of implementing a global strategy of ESD protection. ESD Protection Methodologies begins by exploring the various normalized test techniques that are used to qualify ESD robustness as well as characterization and defect localization methods aimed at implementing corrective measures. Due to the increasing complexity of integrated circuits, it is important to be able to provide a simulation in which the implemented ESD protection strategy provides the desired protection, while not harming the performance levels of the circuit. Therefore, the main features and difficulties related to the different types of simulation, finite element, SPICE-type and behavioral, are then studied. To conclude, several case studies are presented which provide real-life examples of the approaches explained in the previous chapters and validate a number of the strategies from component to system level. Provides a global ESD protection approach from component to system, including both the proposal of investigation techniques and predictive simulation methodologies Addresses circuit and system designers as well as failure analysis engineers Provides the description of specifically developed investigation techniques and the application of the proposed methodologies to real case studies

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

Real-time systems are used in a wide range of applications,including control, sensing, multimedia, etc. Scheduling is acentral problem for these computing/communication systems sinceresponsible of software execution in a timely manner. This bookprovides state of knowledge in this domain with special emphasis onthe key results obtained within the last decade. This book addresses foundations as well as the latest advancesand findings in Real-Time Scheduling, giving all references toimportant papers. But nevertheless the chapters will be short andnot overloaded with confusing details. Coverage includes schedulingapproaches for mono-core as well as multi-core platforms, dependenttasks, networks, and notably very tremendous recent advances inscheduling of energy constrained embedded systems. Othersophisticated issues such as feedback control scheduling and timinganalysis of critical applications are also addressed. This volume can serve as a textbook for courses on the topic inbachelor and in more advanced master programs. It also provides areference for computer scientists and engineers involved in thedesign or the development of Cyber-Physical Systems which requireup-to-date real-time scheduling solutions.

The second volume of the book series highlights works presented at the 2nd International Conference on Real Time Intelligent Systems, held in Casablanca on October 18-20, 2017​. The book offers a comprehensive, practical review of the state-of-the-art in designing and implementing real-time intelligent computing for the areas within the conference’s scope such as robotics, intelligent alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowdsourcing, broadband systems, cloud computing, streaming data and many other applications. Research in real-time computing supports decision making in dynamic environments. Some examples include ABS, FBW flight control, automatic air-conditioning, etc. Intelligent computing relies heavily on artificial intelligence (AI) to make computers act for humans. The authors are confident that the solutions discussed in this book will provide a unique source of information and inspiration for researchers working in AI, distributed coding algorithms or smart services and platforms, and for IT professionals, who can integrate the proposed methods into their practice.