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Titre	Real-Time Systems
Nom de fichier	real-time-systems_qAL2Y.epub
	real-time-systems_TLpWP.aac
Libéré	3 years 8 months 28 days ago
Nombre de pages	158 Pages
Une longueur de temps	46 min 20 seconds
Taille du fichier	1,373 KiloByte
Classification	Sonic 192 kHz

Real-Time Systems

Catégorie: Cuisine et Vins, Droit
Auteur: Molly O'Keefe, Stephen J. Dubner
Éditeur: Vanessa Vale
Publié: 2017-08-29
Écrivain: Guy Brook-Hart, Jojo Moyes
Langue: Roumain, Vietnamien, Hébreu
Format: epub, Livre audio

Modeling and scheduling embedded real-time systems using Synchronous Data Flow Graphs - Real-time embedded systems change our lives on a daily basis. Their complexity is increasing with the diversity of their applications and the improvements in processor architectures. These systems are usually multi-periodic, since their components communicate with each other at different rates. Real-time systems are often critical to human lives, their malfunctioning could lead to catastrophic consequences. Therefore, one of the major challenges faced by academic and industrial communities is the efficient use of powerful and complex platforms, to provide optimal performance and meet the time constraints. Real-time system can be found in autonomous systems, such as air-planes, self-driving cars and drones. In this context, our study focuses on modeling and scheduling critical real-time systems using data flow formalisms. The contributions of this thesis are threefold: First, we define a general and intuitive communication model within multi-periodic systems. We demonstrate that the communications between mult

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Fault-tolerant and energy-aware algorithms for workflows and real-time systems - This thesis is focused on the two major problems in the high performance computing context: resilience and satisfy the computing power required by modern scientific research, the number of computing units insupercomputers increases dramatically in the past years. This leads to more frequent errors than expected. Obviously,failure handling is critical for highly parallel applications that use a large number of components for a significant amountof time. Otherwise, one may spend infinite time re-executing. At the other side, power management is necessary due toboth monetary and environmental constraints. Especially because resilience often calls for redundancy in time and/or inspace , which in turn consumes extra energy. In addition, technologies that reduce energy consumption often havenegative effects on performance and this context, we re-design scheduling algorithms to investigate trade-offs between performance, resilience and energyconsumption. The first part is focused a

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