Book

Springer Book on Self-Aware Computing

Self-Aware Computing Systems. Samuel Kounev, Jeffrey O. Kephart, Aleksandar Milenkoski, and Xiaoyun Zhu. Springer Verlag, Berlin Heidelberg, Germany, 2017.

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.

Intended Readership

This book 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.

Important Links

• Book Website on Springer.com
• Book Website on Amazon.com
• Book Website on Amazon.de
• Self-Aware Computing Community: Dagstuhl Seminar 15041 on "Model-driven Algorithms and Architectures for Self-Aware Computing Systems"
• Mailing List: self-aware@lists.uni-wuerzburg.de, subscription page: https://lists.uni-wuerzburg.de/mailman/listinfo/self-aware
• LinkedIn Group: https://www.linkedin.com/groups/SelfAware-Computing-5103054

Cite This Book

@book{
  KoKeMiZh2017-self,
  address = {{Berlin Heidelberg, Germany}},
  author = {Kounev, Samuel and Kephart, Jeffrey O. and Milenkoski, Aleksandar and Zhu, Xiaoyun},
  keywords = {Self-adaptive-systems},
  publisher = {{Springer Verlag}},
  title = {{Self-Aware Computing Systems}},
  year = 2017
}