System Dependability and Analytics: Approaching System Dependability from Data, System and Analytics Perspectives

System Dependability and Analytics: Approaching System Dependability from Data, System and Analytics Perspectives

Long Wang , Karthik Pattabiraman , Catello Di Martino
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2022 · Englisch · Gebundene Ausgabe
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Beschreibung

This work delves into the intricate world of system dependability, offering a comprehensive examination from various perspectives, including data, systems, and analytics. Each chapter, crafted by respected academics and industry leaders, presents a wealth of knowledge grounded in real-world applications and theoretical frameworks. The authors explore contemporary challenges and solutions in maintaining system reliability, highlighting the interplay between robust data analysis and the structural integrity of complex systems.

Throughout the book, readers are encouraged to engage with the material through innovative case studies and insightful discussions. The authors aim to bridge the gap between theoretical research and practical implementation, making this an invaluable resource for both students and professionals seeking to deepen their understanding of dependability in an increasingly data-driven world.

Buchdetails

Format Gebundene Ausgabe
Seiten 444 Seiten
Sprache Englisch
Veröffentlicht Jul 26, 2022
Verlag Springer
ISBN-10 3031020626
ISBN-13 9783031020629
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