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System Dependability and Analytics

Approaching System Dependability from Data, System and Analytics Perspectives

Language EnglishEnglish
Book Paperback
Book System Dependability and Analytics Long Wang
Libristo code: 43748463
Publishers Springer, Berlin, July 2023
This book comprises chapters authored by experts who are professors and researchers in international... Full description
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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.

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About the book

Full name System Dependability and Analytics
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 433
EAN 9783031020650
Libristo code 43748463
Publishers Springer, Berlin
Weight 621
Dimensions 155 x 235
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