English | true EPUB | 2020 | 706 Pages | ISBN : 9781119574910 | 10 MB

A concise and practical introduction to the foundations and eeering principles of self-adaptation
Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in acad and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Eeering Perspective provides readers with an accessible set of basic principles, eeering foundations, and applications of self-adaptation in software-intensive systems.

It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software eeering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emeg, and future systems.

The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and stratally effective guide to self-adaptation. He includes features such as:

An analysis of the foundational eeering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems
End-of-chapter exercises at four different levels of complexity and difficulty
An accompanying author-hosted website with slides, selected exercises and solutions, models, and code
Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software eeering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its eeering.



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