Self-Aware Computing Systems

“Self-aware computing systems are covered in this book, which is an expanded collection of papers (each chapter by a group of authors). Organized under five parts, the book is an attempt to bring together researchers in the topic across various application domains. … In summary, the book is, as designed, an assimilation of related topics on self-aware computing systems … and could be a quick and useful reference for someone starting out research in the field.” (Computing Reviews, September, 2017)

Samuel Kounev is a professor and chair of software engineering at the University of Würzburg. His research is focussed on software design, modeling and architecture-based analysis; systems benchmarking and experimental analysis; and autonomic and self-aware computing. He has led a number of activities on self-aware computing, including a Dagstuhl seminar in 2015 that inspired the work on this book. He currently serves as chair of the steering committees of the SPEC Research Group, the IEEE International Conference on Autonomic Computing (ICAC), and the ACM/SPEC International Conference on Performance Engineering (ICPE).



Jeffrey O. Kephart is a Distinguished Research Staff Member at IBM T.J. Watson Research Center, where he co-leads IBM's embodied cognition research strategy. In addition to cognitive computing, his research interests include autonomic computing, machine learning, nonlinear dynamics, and reducing energy consumption in data centers. In 2003, he co-wrote an article in IEEE Computer entitled "The Vision of Autonomic Computing" that is the most widely cited article in the field of autonomic computing, with over 5000 citations. Jeffrey O. Kephart is a co-founder of the International Conference on Autonomic Computing (ICAC). 

Aleksandar Milenkoski is an IT-security expert at ERNW (Enno Rey Netzwerke) GmbH. His research interests include security of dynamic computing infrastructures and security-relevant properties of self-aware systems, such as self-protection. He helped organizing the Dagstuhl seminar "Model-driven Algorithms and Architectures for Self-Aware Computing Systems", which inspired the work on this book.

Xiaoyun Zhu is a Senior Cloud Architect at Futurewei Technologies (aka. Huawei US R&D Center). She previously worked at VMware and HP Labs. Her work has focused on building self-managing computing systems and software using machine learning, feedback control and optimization. She has co-authored over 50 technical papers in peer-reviewed journals and conferences, and holds over 20 patents. She co-founded the International Workshop on Feedback Computing, and has been actively involved in the organization of several international conferences in the areas of autonomic and cloud computing.