System Dependability and Analytics -

System Dependability and Analytics

Approaching System Dependability from Data, System and Analytics Perspectives
Buch | Hardcover
XI, 433 Seiten
2022 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-02062-9 (ISBN)
192,59 inkl. MwSt

This book comprises chapters authored by experts who are professors and researchers in internationally recognized universities and research institutions. The book presents the results of research and descriptions of real-world systems, services, and technologies. Reading this book, researchers, professional practitioners, and graduate students will gain a clear vision on the state of the art of the research and real-world practice on system dependability and analytics.

The book is published in honor of Professor Ravishankar K. Iyer, the George and Ann Fisher Distinguished Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), Urbana, Illinois. Professor Iyer is ACM Fellow, IEEE Fellow, AAAS Fellow, and served as Interim Vice Chancellor of UIUC for research during 2008-2011. The book contains chapters written by many of his former students.


Long Wang is Associate Professor of Institute for Network Sciences and Cyberspace at Tsinghua University. Prior to that he was Senior Research Staff Member of IBM T. J. Watson Research Center and was Lead of the Security and Resiliency division of IBM Watson Cloud. He is Senior Member of IEEE. Karthik Pattabiraman is Professor of Electrical and Computer Engineering at the University of British Columbia (UBC). He is currently Vice Chair of the IFIP Working Group on Dependable Computing and Fault Tolerance (WG 10.4) and is Senior Member of the IEEE and Distinguished member of the ACM. Catello (Lelio) Di Martino is principal researcher and leader of ecosystems in the Network Systems and Security Research Laboratory of Nokia Bell Labs. His research focuses on highly resilient large-scale communication systems (including 6G) , SLA-driven network automation, chaos engineering, industrial internet of things, and data-intensive systems. 
Arjun P. Athreya is Assistant Professor in the Dept. Of Molecular Pharmacology and Experimental Therapeutics, College of Medicine, Mayo Clinic, Rochester, MN, USA. Saurabh Bagchi is Professor in the School of Electrical and Computer Engineering and the Department of Computer Science at Purdue University. He is the founding Director of the CRISP Center at Purdue University.

Chapter 1. Introduction.- Chapter 2. Software Resilience (Long).- Chapter 3. Large scale systems and data analytics (Saurabh) .- Chapter 4. Healthcare & CPS (Arjun) .- Chapter 5. Dependability Assessment (Karthik).- Chapter 6. Personal reflections (Gene Robinson). 

Erscheinungsdatum
Reihe/Serie Springer Series in Reliability Engineering
Zusatzinfo XI, 433 p. 108 illus., 70 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 829 g
Themenwelt Technik
Schlagworte Analytics • Big Data • Data-driven • Dependability • Reliability
ISBN-10 3-031-02062-6 / 3031020626
ISBN-13 978-3-031-02062-9 / 9783031020629
Zustand Neuware
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