Maryline Chetto currently serves as Professor at the University of Nantes, France. She is a member of the IRCCyN (Institut de Recherche en Communications et Cybernétique de Nantes), within the 'Real-Time Systems' research team. She received her Masters in Control Engineering at Ecole Centrale de Nantes, France. Her research areas include Real-Time Computing in general, and more particularly, scheduling, energy management, operating systems and fault-tolerance. Audrey Quedet is Associate Professor at the University of Nantes, Institut Universitaire de Technologie de Nantes and Member of the IRCCyN (Institut de Recherche en Communications et Cybernetique de Nantes). She received her PhD in Automation and Applied Computer Science whilst contributing in the Real-Time Systems team, IRCCyN. Her research interests surround Real-Time Computing in general, including scheduling, synchronization mechanisms, energy management and Linux-based operating systems

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• Part 1: Real Time Systems1. Introduction to real-time computing2. Fundamentals of real-time scheduling3. Optimizing the Quality of ServicePart 2: Energy Recovery and Real-time4. Recovery of green energy5. Energy management and time constraints6. Fundamental theoretical resultsPart 3: Ensuring the Autonomy of Real-time Systems7. Managing the case of an energy famine8. Towards more stability and robustness

Maryline Chetto currently serves as Professor at the University of Nantes, France. She is a member of the IRCCyN (Institut de Recherche en Communications et Cybernétique de Nantes), within the 'Real-Time Systems' research team. She received her Masters in Control Engineering at Ecole Centrale de Nantes, France. Her research areas include Real-Time Computing in general, and more particularly, scheduling, energy management, operating systems and fault-tolerance. Audrey Quedet is Associate Professor at the University of Nantes, Institut Universitaire de Technologie de Nantes and Member of the IRCCyN (Institut de Recherche en Communications et Cybernetique de Nantes). She received her PhD in Automation and Applied Computer Science whilst contributing in the Real-Time Systems team, IRCCyN. Her research interests surround Real-Time Computing in general, including scheduling, synchronization mechanisms, energy management and Linux-based operating systems

Select Guide Rating

• Part 1: Real Time Systems1. Introduction to real-time computing2. Fundamentals of real-time scheduling3. Optimizing the Quality of ServicePart 2: Energy Recovery and Real-time4. Recovery of green energy5. Energy management and time constraints6. Fundamental theoretical resultsPart 3: Ensuring the Autonomy of Real-time Systems7. Managing the case of an energy famine8. Towards more stability and robustness

Maryline Chetto currently serves as Professor at the University of Nantes, France. She is a member of the IRCCyN (Institut de Recherche en Communications et Cybernétique de Nantes), within the 'Real-Time Systems' research team. She received her Masters in Control Engineering at Ecole Centrale de Nantes, France. Her research areas include Real-Time Computing in general, and more particularly, scheduling, energy management, operating systems and fault-tolerance. Audrey Quedet is Associate Professor at the University of Nantes, Institut Universitaire de Technologie de Nantes and Member of the IRCCyN (Institut de Recherche en Communications et Cybernetique de Nantes). She received her PhD in Automation and Applied Computer Science whilst contributing in the Real-Time Systems team, IRCCyN. Her research interests surround Real-Time Computing in general, including scheduling, synchronization mechanisms, energy management and Linux-based operating systems

Select Guide Rating

• Part 1: Real Time Systems1. Introduction to real-time computing2. Fundamentals of real-time scheduling3. Optimizing the Quality of ServicePart 2: Energy Recovery and Real-time4. Recovery of green energy5. Energy management and time constraints6. Fundamental theoretical resultsPart 3: Ensuring the Autonomy of Real-time Systems7. Managing the case of an energy famine8. Towards more stability and robustness