Techniques for Building Timing-Predictable Embedded Systems
(Sprache: Englisch)
This book describes state-of-the-art techniques for designing real-time computer systems. The author shows how to estimate precisely the effect of cache architecture on the execution time of a program, how to dispatch workload on multicore processors to...
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This book describes state-of-the-art techniques for designing real-time computer systems. The author shows how to estimate precisely the effect of cache architecture on the execution time of a program, how to dispatch workload on multicore processors to optimize resources, while meeting deadline constraints, and how to use closed-form mathematical approaches to characterize highly variable workloads and their interaction in a networked environment. Readers will learn how to deal with unpredictable timing behaviors of computer systems on different levels of system granularity and abstraction. Inhaltsverzeichnis zu „Techniques for Building Timing-Predictable Embedded Systems “
Introduction.- Part I Cache Analysis for WCET Estimation.- MRU Cache Analysis for WCET Estimation.- FIFO Cache Analysis for WCET Estimation.- Part II Real-Time Scheduling on Multicores.- Analyzing Preemptive Global Scheduling.- Analyzing Non-preemptive Global Scheduling.- Liu & Layland's Utilization Bound.- Parametric Utilization Bounds.- Cache-Aware Scheduling.- Part III Real-Time Calculus.- Finitary Real-Time Calculus.- EDF in Real-Time Calculus.-
Autoren-Porträt von Nan Guan
Nan Guan is a researcher in the Embedded Systems Institute of the College of Computer Science and Engineering, at Northeastern University, China. His research interest includes Multiprocessor/multicore scheduling, Worst-Case Execution Time analysis, and Software synthesis of dataflow models.
Bibliographische Angaben
- Autor: Nan Guan
- 2016, 1st ed. 2016, XIV, 235 Seiten, 20 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319271962
- ISBN-13: 9783319271965
- Erscheinungsdatum: 12.02.2016
Sprache:
Englisch
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