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Soft Real-Time Systems: Predictability vs. Efficiency Predictability vs. Efficiency /

Hard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built under pessimistic assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption, tolerate overload...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Buttazzo, Giorgio C. (Autor), Lipari, Giuseppe (Autor), Abeni, Luca (Autor), Caccamo, Marco (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Series in Computer Science
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Soft Real-Time Systems: Predictability vs. Efficiency  |h [electronic resource] :  |b Predictability vs. Efficiency /  |c by Giorgio C Buttazzo, Giuseppe Lipari, Luca Abeni, Marco Caccamo. 
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505 0 |a Overload Management -- Temporal Protection -- Multi-Thread Applications -- Synchronization Protocols for Hard and Soft Real-Time Systems -- Resource Reclaiming -- Quality of Service Management -- Feedback Scheduling -- Stochastic Scheduling. 
520 |a Hard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built under pessimistic assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption, tolerate overloads and adapt to system changes. They are also more suited to novel applications of real-time technology, such as multimedia systems, monitoring apparatuses, telecommunication networks, mobile robotics, virtual reality, and interactive computer games. This unique monograph provides concrete methods for building flexible, predictable soft real-time systems, in order to optimize resources and reduce costs. It is an invaluable reference for developers, as well as researchers and students in Computer Science. 
650 0 |a Computer science. 
650 0 |a Operating systems (Computers). 
650 0 |a Software engineering. 
650 0 |a Multimedia systems. 
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650 2 4 |a Software Engineering. 
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