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System Dependability and Analytics : Approaching System Dependability from Data, System and Analytics Perspectives - 2023 ed.

By: (Edited by) Arjun Athreya , (Edited by) Catello Di Martino , (Edited by) Karthik Pattabiraman , (Edited by) Long Wang , (Edited by) Saurabh Bagchi

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Ksh 28,800.00

Format: Hardback or Cased Book

ISBN-10: 3031020626

ISBN-13: 9783031020629

Edition: 2023 ed.

Series: Springer Series in Reliability Engineering

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 26th, 2022

Print length: 433 Pages

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This book comprises chapters authored by experts who are professors and researchers in internationally recognized universities and research institutions.

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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