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System dependability and analytics =...

Wang, Long.

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System dependability and analytics = approaching system dependability from data, system and analytics perspectives /

Record Type:	Electronic resources : Monograph/item
Title/Author:	System dependability and analytics/ edited by Long Wang ... [et al.].
Reminder of title:	approaching system dependability from data, system and analytics perspectives /
other author:	Wang, Long.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xi, 433 p. :ill., digital ;24 cm.
[NT 15003449]:	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)
Contained By:	Springer Nature eBook
Subject:	Reliability (Engineering) - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-031-02063-6
ISBN:	9783031020636

System dependability and analytics = approaching system dependability from data, system and analytics perspectives /
System dependability and analyticsapproaching system dependability from data, system and analytics perspectives /[electronic resource] :edited by Long Wang ... [et al.]. - Cham :Springer International Publishing :2023. - xi, 433 p. :ill., digital ;24 cm. - Springer series in reliability engineering,2196-999X. - Springer series in reliability engineering..

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)

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.

ISBN: 9783031020636

Standard No.: 10.1007/978-3-031-02063-6doiSubjects--Topical Terms:

646295
Reliability (Engineering)
--Statistical methods.

LC Class. No.: TA169 / .S97 2023

Dewey Class. No.: 620.00452015118

System dependability and analytics = approaching system dependability from data, system and analytics perspectives /
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490 1 $a Springer series in reliability engineering, $x 2196-999X
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520 $a 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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