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Books > Computing & IT > General theory of computing
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Self-Aware Computing Systems (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R4,810
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Self-Aware Computing Systems (Paperback, Softcover reprint of the original 1st ed. 2017)
Expected to ship within 18 - 22 working days
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This book provides formal and informal definitions and taxonomies
for self-aware computing systems, and explains how self-aware
computing relates to many existing subfields of computer science,
especially software engineering. It describes architectures and
algorithms for self-aware systems as well as the benefits and
pitfalls of self-awareness, and reviews much of the latest relevant
research across a wide array of disciplines, including open
research challenges. The chapters of this book are organized into
five parts: Introduction, System Architectures, Methods and
Algorithms, Applications and Case Studies, and Outlook. Part I
offers an introduction that defines self-aware computing systems
from multiple perspectives, and establishes a formal definition, a
taxonomy and a set of reference scenarios that help to unify the
remaining chapters. Next, Part II explores architectures for
self-aware computing systems, such as generic concepts and
notations that allow a wide range of self-aware system
architectures to be described and compared with both isolated and
interacting systems. It also reviews the current state of reference
architectures, architectural frameworks, and languages for
self-aware systems. Part III focuses on methods and algorithms for
self-aware computing systems by addressing issues pertaining to
system design, like modeling, synthesis and verification. It also
examines topics such as adaptation, benchmarks and metrics. Part IV
then presents applications and case studies in various domains
including cloud computing, data centers, cyber-physical systems,
and the degree to which self-aware computing approaches have been
adopted within those domains. Lastly, Part V surveys open
challenges and future research directions for self-aware computing
systems. It can be used as a handbook for professionals and
researchers working in areas related to self-aware computing, and
can also serve as an advanced textbook for lecturers and
postgraduate students studying subjects like advanced software
engineering, autonomic computing, self-adaptive systems, and
data-center resource management. Each chapter is largely
self-contained, and offers plenty of references for anyone wishing
to pursue the topic more deeply.
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