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The major thrust of our effort was focused on the theory and practice of responsive (fault-tolerant, real-time) computing in parallel and distributed processing environments. New efficient methods of system testing have been developed which shorten a multiprocessor testing time by orders of magnitude and, therefore, can be used at system booting (previous techniques were prohibitively long. A new design framework for responsive computing was designed and is being implemented for validation. This framework for responsive computing was designed and is being implemented for validation. This framework is based on consensus which can be used to provide synchronization, reliable communication, fault diagnosis, checkpointing and even scheduling in multiprocessor environments. We have formalized and quantified the space-time tradeoff for efficient fault recovery. The system model is a graph, and we were especially successful in analysis of meshes and hypercubes. We developed a new method called naturally redundant algorithms which allows efficient implementation of application-specific techniques.
Provides researchers and application developers insight into issues and challenges of building inexpensive, accessible, and dependable systems for the envisioned convergence of all computing into storing, searching, retrieving, and exchanging information in a myriad of forms on internetworks. Includes discussions of fault tolerance in communications protocols, including synchronous and asynchronous group communication; methods and approaches for achieving fault-tolerance in such distributed systems as a network of workstations, dependable cluster systems, and local area multiprocessors based on scalable coherent interfaces; general models and features of safety- critical systems built from commercial off-the-shelf components; the real-time processing of video signals, and embedding in faulty systems. Annotation copyrighted by Book News, Inc., Portland, OR
Fault tolerance is an approach by which reliability of a computer system can be increased beyond what can be achieved by traditional methods. Comprehensive and self-contained, this book explores the information available on software supported fault tolerance techniques, with a focus on fault tolerance in distributed systems.
When architecting dependable systems, fault tolerance is required to improve the overall system robustness. Many studies have been proposed, but the solutions are usually commissioned late during the design and implementation phases of the software life-cycle (e.g., Java and Windows NT exception handling), thus reducing the error recovery effectiveness. Since the system design typically models only normal behaviors of the system while ignoring exceptional ones, the generated system implementation is unable to handle abnormal events. Consequently, the system may fail in unexpected ways due to some faults. Researchers have advocated that fault tolerance management during the entire life-cycle improves the overall system robustness and that different classes of exceptions must be identified for each identified phase of software development, depending on the abstraction level of the software system being modeled. This book builds on this trend and investigates how fault tolerance mechanisms can be used when engineering a software system. New problems will arise, new models are needed at different abstraction levels, methodologies for mode driven engineering of such systems must be defined, new technologies are required, and new validation and verification environments are necessary.
Fault tolerance has been an active research area for many years. This volume presents papers from a workshop held in 1993 where a small number of key researchers and practitioners in the area met to discuss the experiences of industrial practitioners, to provide a perspective on the state of the art of fault tolerance research, to determine whether the subject is becoming mature, and to learn from the experiences so far in order to identify what might be important research topics for the coming years. The workshop provided a more intimate environment for discussions and presentations than usual at conferences. The papers in the volume were presented at the workshop, then updated and revised to reflect what was learned at the workshop.
The designer of a fault-tolerant distributed system faces numerous alternatives. Using a stochastic model of processor failure times, we investigate design choices such as replication level, protocol running time, randomized versus deterministic protocols, fault detection and authentication. We use the probability with which a system produces the correct output as our evaluation criterion. This contrasts with previous fault-tolerance results that guarantee correctness only if the percentage of faulty processors in the system can be bounded. Our results reveal some subtle and counterintuitive interactions between the design parameters and system reliability.
A team of recognized experts leads the way to dependable computing systems With computers and networks pervading every aspect of daily life, there is an ever-growing demand for dependability. In this unique resource, researchers and organizations will find the tools needed to identify and engage state-of-the-art approaches used for the specification, design, and assessment of dependable computer systems. The first part of the book addresses models and paradigms of dependable computing, and the second part deals with enabling technologies and applications. Tough issues in creating dependable computing systems are also tackled, including: * Verification techniques * Model-based evaluation * Adjudication and data fusion * Robust communications primitives * Fault tolerance * Middleware * Grid security * Dependability in IBM mainframes * Embedded software * Real-time systems Each chapter of this contributed work has been authored by a recognized expert. This is an excellent textbook for graduate and advanced undergraduate students in electrical engineering, computer engineering, and computer science, as well as a must-have reference that will help engineers, programmers, and technologists develop systems that are secure and reliable.
5th International GI/ITG/GMA Conference, Nürnberg, September 25-27, 1991. Proceedings
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and analysis methods necessary to design, validate and analyze dependable systems. A companion to this book (published by Kluwer), subtitled Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book subtitled System Implementation, these approaches demonstrate how dependability may be tuned to the requirements of an application, the fault environment, and the characteristics of the target platform. Three classes of paradigms are considered: protocol-based paradigms for distributed applications, algorithm-based paradigms for parallel applications, and approaches to exploiting application semantics in embedded real-time control systems. Another companion book (published by Kluwer) subtitled System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and operating system level are presented. A primary concern at these levels is balancing cost and performance against coverage and overall dependability. As these chapters demonstrate, low overhead, practical solutions are attainable and not necessarily incompatible with performance considerations. The section on innovative compiler support, in particular, demonstrates how the benefits of application specificity may be obtained while reducing hardware cost and run-time overhead.