Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications (Real-Time Systems Series, 24)

Buttazzo, Giorgio C

ISBN 10: 1461406757 / ISBN 13: 9781461406754

Verlag: Springer, 2011

Beschreibung

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Bestandsnummer des Verkäufers Z1-Q-040-02915

Bibliografische Details

• Titel: Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications (Real-Time Systems Series, 24)
• Verlag: Springer
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 1461406757
• ISBN-13: 9781461406754
• Einband: Hardcover
• Auflage: 3. Auflage
• Zustand: Good

Über diesen Titel

Inhaltsangabe

A General View.- Basic Concepts.- A Periodic Task Scheduling.- Periodic Task Scheduling.- Fixed-Priority Servers.- Dynamic Priority Servers.- Resource Access Protocols.- Limited Preemptive Scheduling.- Handling Overload Conditions.- Kernel Design Issues.- Application Design Issues.- Real-Time Operating Systems and Standards.- Solutions to the Exercises.- References.- Index.

Über die Autorin bzw. den Autor

Giorgio Buttazzo is Full Professor of Computer Engineering at the Scuola Superiore Sant'Anna of Pisa. He graduated in Electronic Engineering at the University of Pisa in 1985, received a Master in Computer Science at the University of Pennsylvania in 1987, and a Ph.D. in Computer Engineering at the Scuola Superiore Sant'Anna of Pisa in 1991. From 1987 to 1988, he worked on active perception and real-time control at the G.R.A.S.P. Laboratory of the University of Pennsylvania, Philadelphia. From 1991 to 1998, he held a position of Assistant Professor at the Scuola Superiore Sant'Anna of Pisa, where he founded and coordinated the RETIS Laboratory on real-time systems. From 1998 to 2005, he held a position of Associate Professor at the University of Pavia, where he directed the robotics laboratory of the Computer Science department. His main research interests include real-time operating systems, dynamic scheduling algorithms, quality of service control, multimedia systems, advanced robotics applications, and neural networks.