Полное описание

Buttazzo, G. C. Hard Real-Time Computing Systems : predictable Scheduling Algorithms and Applications / by Giorgio C. Buttazzo. - Electronic text data. - Boston, MA : Springer, 2011. - (Real-Time Systems Series, ISSN 1867-321X ; vol. 24). - URL: http://dx.doi.org/10.1007/978-1-4614-0676-1. - Загл. с экрана. - ISBN 978-1-4614-0676-1. - DOI 10.1007/978-1-4614-0676-1. - Текст : электронный.
Содержание:
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.

ГРНТИ	УДК
50.39.29	004.7.031.43

Рубрики:
computer science
microprocessors
computer communication systems
special purpose computers
computer system failures
electronic circuits
computer Science
special Purpose and Application-Based Systems
circuits and Systems
system Performance and Evaluation
computer Communication Networks
processor Architectures

Аннотация: This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.

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