Igor Schagaev – författare

This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features it should provide for highest reliability. With this second edition of Software Design for Resilient Computer Systems the book is thoroughly updated to contain the newest advice regarding software resilience. With additional chapters on computer system performance and system resilience, as well as online resources, the new edition is ideal for researchers and industry professionals.

This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features should provide for highest reliability. With this third edition of Software Design for Resilient Computer Systems, the book is thoroughly updated to contain the newest advice regarding software resilience. With a new introductory chapter, the new edition is ideal for researchers and industry professionals.

In the book, the authors first show how system software interacts with the hardware to tolerate faults. They analyze and further develop the theory of fault tolerance to understand the diverse ways to increase the reliability of a system, with special attention on the role of system software in this process. They introduce the theory of redundancy and its use for construction of a subsystem through generalised algorithm of fault tolerance (GAFT) and apply it to distributed systems. The book’s approach is applied to various hardware subsystems: different structures of RAM and processor cores and demonstrates exceptional performance reliability and energy efficiency. This third edition devotes substantial attention to system software for modern computers, including run time systems, supporting algorithms of recovery and their analysis, language aspects and ways to improve reconfigurable and parallel computing.

Due to the wide-reaching nature of the content, this book applies to a host of industries and research areas, including military, aviation, intensive health care, industrial control, and space exploration.

Now in its second edition, this book introduces an approach to active system control. This approach, when applied through design and development improves our technological systems. It extends concepts of system control using data accumulation, state and structural dependencies. The authors define these properties in terms of reliability, performance and energy-efficiency, and self-adaption. They describe how they bridge the gap between data accumulation and analysis in terms of interpolation with the real physical models when data used for interpretation of the system conditions. The authors introduce a principle of active system control and safety - an approach that explains what a model of a system should have, making computer systems more efficient, a crucial new concern in application domains such as safety critical, embedded and low-power autonomous systems like transport, healthcare, and other dynamic systems with moving substances and elements. On a theoretical level, this book further extends the concept of fault tolerance, introducing a system level of design for improving overall efficiency. On a practical level it illustrates how active system approach might help our systems become self-evolving.

This updated new edition of Active System Control  contains new chapters on the system software concept and the future of active systems control and a chapter containing case studies of unsolved aviation safety incidents.

This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features it should provide for highest reliability. The authors first show how the system software interacts with the hardware to tolerate faults. They analyze and further develop the theory of fault tolerance to understand the different ways to increase the reliability of a system, with special attention on the role of system software in this process. They further develop the general algorithm of fault tolerance (GAFT) with its three main processes: hardware checking, preparation for recovery, and the recovery procedure. For each of the three processes, they analyze the requirements and properties theoretically and give possible implementation scenarios and system software support required. Based on the theoretical results, the authors derive an Oberon-based programming language with direct support of the three processes of GAFT.  In the last part of this book, they introduce a simulator, using it as a proof of concept implementation of a novel fault tolerant processor architecture (ERRIC) and its newly developed runtime system feature-wise and performance-wise. The content applies to industries such as military, aviation, intensive health care, industrial control, space exploration, etc. 

This book introduces an approach to active system control design and development to improve the properties of our technological systems. It extends concepts of control and data accumulation by explaining how the system model should be organized to improve the properties of the system under consideration. The authors define these properties as reliability, performance and energy-efficiency, and self-adaption. They describe how they bridge the gap between data accumulation and analysis in terms of interpolation with the real physical models when data used for interpretation of the system conditions. The authors introduce a principle of active system control and safety - an approach that explains what a model of a system should have, making computer systems more efficient, a crucial new concern in application domains such as safety critical, embedded and low-power autonomous systems like transport, healthcare, and other dynamic systems with moving substances and elements. On a theoretical level, this book further extends the concept of fault tolerance, introducing a system level of design for improving overall efficiency. On a practical level it illustrates how active system approach might help our systems be self-evolving.