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Titlebook: System Dependability and Analytics; Approaching System D Long Wang,Karthik Pattabiraman,Saurabh Bagchi Book 2023 The Editor(s) (if applicab

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发表于 2025-3-21 19:00:39 | 显示全部楼层 |阅读模式
书目名称System Dependability and Analytics
副标题Approaching System D
编辑Long Wang,Karthik Pattabiraman,Saurabh Bagchi
视频video
概述Collects the state-of-the-art research on dependability and analytics.Includes the latest resulting from approaching system dependability from data, system and analytics perspectives.Is contributed to
丛书名称Springer Series in Reliability Engineering
图书封面Titlebook: System Dependability and Analytics; Approaching System D Long Wang,Karthik Pattabiraman,Saurabh Bagchi Book 2023 The Editor(s) (if applicab
描述.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..
出版日期Book 2023
关键词Dependability; Analytics; Reliability; Big data; Data-driven
版次1
doihttps://doi.org/10.1007/978-3-031-02063-6
isbn_softcover978-3-031-02065-0
isbn_ebook978-3-031-02063-6Series ISSN 1614-7839 Series E-ISSN 2196-999X
issn_series 1614-7839
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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System Dependability and Analytics978-3-031-02063-6Series ISSN 1614-7839 Series E-ISSN 2196-999X
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https://doi.org/10.1007/978-3-031-02063-6Dependability; Analytics; Reliability; Big data; Data-driven
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Application-Aware Reliability and Security: The Trusted Illiac Experienceiversity of Illinois (UIUC) from 2004 to 2009. The author starts by narrating his initial involvement in the project, and how it grew as time progressed. He then reflects on the lessons he learned from the project, and how the project has influenced his subsequent research career.
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Multi-layered Monitoring for Virtual MachinesThis chapter describes monitoring methods to achieve both security and reliability in virtualized computer systems. We show how to perform continuous monitoring and leverage information across different layers of a virtualized computer system to detect malicious attacks and accidental failures.
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