Multiprocessor Scheduling for Real-Time Systems, Softcover reprint of the original 1st ed. 2015
Embedded Systems Series

Language: English

108.44 €

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Multiprocessor Scheduling for Real-Time Systems
Publication date:
Support: Print on demand

137.14 €

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Multiprocessor Scheduling for Hard-Real-Time Systems
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228 p. · 15.5x23.5 cm · Hardback

This book provides a comprehensive overview of both theoretical and pragmatic aspects of resource-allocation and scheduling in multiprocessor and multicore hard-real-time systems.  The authors derive new, abstract models of real-time tasks that capture accurately the salient features of real application systems that are to be implemented on multiprocessor platforms, and identify rules for mapping application systems onto the most appropriate models.  New run-time multiprocessor scheduling algorithms are presented, which are demonstrably better than those currently used, both in terms of run-time efficiency and tractability of off-line analysis.  Readers will benefit from a new design and analysis framework for multiprocessor real-time systems, which will translate into a significantly enhanced ability to provide formally verified, safety-critical real-time systems at a significantly lower cost.

Introduction: background, scope, and context.- Preliminaries: workload and platform models.- Preliminaries: scheduling concepts and goals.- A review of selected results on uniprocessors.- Implicit-deadline (L&L) tasks.- Partitioned scheduling of L&L tasks.- Global dynamic-priority scheduling of L&L tasks.- Global Fixed-Job-Priority scheduling of L&L tasks.- Global Fixed-Task-Priority scheduling of L&L tasks.

Provides a single-source reference to multiprocessor scheduling for hard-real-time systems Equips readers with systematic categorization of multiprocessor scheduling methods Reveals new run-time multiprocessor scheduling algorithms, which are demonstrably better than those currently used, both in terms of run-time efficiency and tractability of off-line analysis Includes supplementary material: sn.pub/extras