System Dependability and Analytics

Dependability Analytics book cover

Update: May 2022

The book is ready for general availability, being published by Springer. This is a book that is the culmination of 2+ years of effort by Long, Karthik, Lelio, Arjun, and me. We conceptualized the idea of a book on the emerging topic of system dependability and the impact of data analytics on it. We went about collecting inputs from leaders in the field. We wrote the synthesis chapters as well as several key chapters ourselves. This book is meant for a researcher or practitioner in the field of dependability (which incorporates security and reliability) and one who would like to understand the emerging role that data analytics is playing in it.

The book is meant as a celebration of my PhD advisor, Prof. Ravi Iyer, on the occasion of his 70th birthday. He taught me and the rest of us authors the value of strong technical work and always being receptive to new ideas.

Hard cover ISBN: 978-3-031-02062-9
Soft cover ISBN: 978-3-031-02065-0

Here is the initial part of the book: [ PDF ]

Here are the chapters of the book:

  1. Software Resilience
    1. From dependability to security and privacy – a path in the trustworthy computing research (Shuo Chen)
    2. Intelligent Software Engineering for Reliable Cloud Operations (Michael Lyu)
    3. Multi-layered monitoring architecture to archive security and reliability in virtualized computer systems (Cuong Pham)
    4. Extending and Applying Fault Injection Methodology for System Security, Software Engineering, and Extreme-Scale Computing (KeunSooYim)
    5. Predicting Software Bugs In Industrial Products (Veena Mendiratta)
    6. Security for Software on Tiny Devices (Saurabh Bagchi)
  2. Large scale systems and data analytics
    1. On the Reliability of Computing-in-Memory Accelerators for Deep Neural Networks (Yiyu Shi)
    2. Providing Compliance in Critical Computing Environments (Long Wang)
    3. Application-Aware Reliability and Security: The Trusted Illiac Experience (Karthik Pattabiraman)
    4. The role of Field Failure Data Analysis in the modern era: a brief history and a vision for the future (Marcello Cinque)
    5. Critical Infrastructure Protection: where convergence of logical and physical security technologies is a must (Luigi Romano)
  3. Healthcare & CPS
    1. On improving the reliability of power grids for multiple power line outages and anomaly detection (Jinjun Xiong)
    2. Domain-Specific Security Approaches for Cyber-Physical Systems (Hui Lin)
    3. AI based predictive algorithm in precision medicine (Liewei Wang, Dick Weinshilboum)
    4. Data-Driven Approaches for Selecting Training Data for Neural Networks (Murthy Devarakonda)
    5. Health Care Analytics - LSTM approaches to predicting Covid mutation and impact (Roy Campbell)
    6. AI applications to human electroencephalography (Greg Worrell)
    7. Assessing Safety of Autonomous Vehicles (Saurabh Jha)
  4. Dependability Assessment
    1. Effect of epistemic uncertainty in Markovian reliability models (Kishor Trivedi)
    2. System/dependability assessment - interplay between research and practice (Mohamed Kaaniche, Karama Kanoun)
  5. Personal reflections
    1. Experience with VCR and CompGen (Gene Robinson)
    2. Forty Years of Friendship (Janak Patel)
    3. Great Achievements in Coordinated Science Laboratory (Wen-Mei Hwu)