3 edition of art of fault-tolerant system reliability modeling found in the catalog.
art of fault-tolerant system reliability modeling
Ricky W. Butler
by National Aeronautics and Space Administration, Langley Research Center in Hampton, Va
Written in English
|Other titles||Art of fault tolerant system reliability modeling.|
|Statement||Ricky W. Butler and Sally C. Johnson.|
|Series||NASA technical memorandum -- 102623.|
|Contributions||Johnson, Sally C., Langley Research Center.|
|The Physical Object|
|Pagination||iii, 127 p. :|
|Number of Pages||127|
Recent advances in science and technology have made modern computing and engineering systems more powerful and sophisticated than ever. The increasing complexity and scale imply that system reliability problems not only continue to be a challenge but also require more efficient models and solutions. This is the first book systematically covering the state-of-the-art binary decision diagrams. This paper proposes a generalized approach of reliability and safety modeling for fault tolerant control system based on Markov model. The reliability and safety function, computed from the transition probability of the Markov process, provides a proper quantitative measure of the fault tolerant control system because it incorporates the deadline, failure detection and fault isolation.
The complexity of a fault-tolerant system is one of the major problems facing the system designer. This complexity is due partly to the addition of redundant components and partly to the interaction between the components. Correspondingly, the complexity of the fault-tolerant system directly mirrors the Price: $ Further Reading 9 An important part of the design and evaluation process of a fault-tolerant sys- tem is to demonstrate that the system does indeed function at the advertised level of reliability Often the designed system is too complex to develop analyt- ical expressions of its reliability If a prototype of the system has already been.
Service-oriented architecture (SOA) provides an elastic and automatic way to discover, publish, and compose individual services. SOA enables faster integration of existing software components from different parties, makes fault tolerance (FT) feasible, and is also one of the fundamentals of cloud computing. However, the unpredictable nature of SOA systems introduces new challenges for Cited by: 5. Models of fault-tolerant system with a combined structural redundancy, which includes the structure of K of N with N-th number of technical systems in the core and their sliding redundancy are presented. Exploitation of system does not provide for maintenance and therefore the using procedures of reconfiguration of the core of structure of
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System Software Reliability is an introduction to software reliability engineering as well as a detailed survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems.
The most recent research results in the field are reported and future directions in the. Introduction Markov modeling is a modeling technique that is widely useful for dependability analysis of complex fault tolerant sys-tems. It is very flexible in the type of systems and systemFile Size: 2MB.
Reliability modeling of fault tolerant control systems long-term system reliability behavior during an off-line analysis. As a function criterion, R(t) is not often. Cite this chapter as: Pham H. () Complex Fault-tolerant System Reliability Modeling. In: System Software Reliability. Springer Series in Reliability : Hoang Pham.
Reliability engineering is a sub-discipline of systems engineering that emphasizes dependability in the lifecycle management of a ility describes the ability of a system or component to function under stated conditions for a specified period of time.
Reliability is closely related to availability, which is typically described as the ability of a component or system to function at. Fault-tolerant computing is the art and science of building computing systems that A fault-tolerant system may be able to tolerate one or more fault-types including -- i) transient, intermittent or permanent proof of correctness, modeling, software reliability, operating systems, parallel processing, and real-time processing.
These. Compute system reliability based upon the model and the specified parameters The estimated system reliability is consequently strongly dependent on the model itself. Because the behavior of a fault-tolerant, highly reliable system is complex, formulating models that accurately represent that behavior can be a Cited by: Readers will develop skills in modeling and evaluating fault-tolerant architectures in terms of reliability, availability and safety.
They will gain a thorough understanding of fault tolerant computers, including both the theory of how to design and evaluate them and the practical knowledge of 5/5(1). Fault tolerance is an approach by which reliability of a computer system can be increased beyond what can be achieved by traditional methods.
While hardware supported fault tolerance has been well-documented, the newer, software supported fault tolerance techniques have remained scattered throughout the literature. Comprehensive and self-contained, this book organizes that body of Cited by: The research of fault-tolerant operation orienting to safety, reliability and durability for the electric driving system of PMSM(Permanent Magnet Synchronous Motor) is divided into four levels.
This book presents a compendium of the state-of-the-art literature on diverse aspects of fault tolerance and reliability of random-access memories, spanning about research papers published in the last few decades.
Fault tolerance is the property that enables a system to continue operating properly in the event of the failure of (or one or more faults within) some of its components. If its operating quality decreases at all, the decrease is proportional to the severity of the failure, as compared to a naively designed system, in which even a small failure can cause total breakdown.
Fault-Tolerant Systems is the first book on fault tolerance design with a systems approach to both hardware and software.
No other text on the market takes this approach, nor offers the comprehensive and up-to-date treatment that Koren and Krishna provide. under-estimate reliability. If the model overestimates reliability, then the system will be more prone to data loss than expected.
If the model underestimates reli-ability, the system will be designed with an excessive level of fault-tolerance and therefore be overly expen-sive. We Cited by: 3. System software reliability.
[Hoang Pham] -- Computer software reliability has never been more important. This book is an introduction to software reliability engineering and a survey of the state-of-the-art Optimal Release Policies -- Complex Fault-tolerant System Reliability Modeling.\/span>\"@ en\/a> ; \u00A0\u00A0\u00A0\n schema.
The book presents novel techniques for high-level fault simulation and reliability estimation as well as architecture-level and system-level fault tolerant designs. It also presents a survey of state-of-the-art problems and solutions, offering insights into reliability issues in digital design and their cross-layer countermeasures.
Microelectronics Reliability. Vol Issue 3,Pages An approach to fault-tolerant system reliability modelling. Author links open overlay panel Zoran Pavlovi Cited by: 5. Energy-Efficient Fault-Tolerant Systems. this book reviews important problems and countermeasures across the fields of hardware and system reliability, software reliability, verification and.
This book is an introduction to software reliability engineering and a survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems.
Reliability Models Optimal Release Policies Complex Fault-tolerant System Reliability Modeling Appendix 1: Distribution.
This chapter discusses the criteria for evaluating system reliability and availability. The highest level of modeling is the system level, in which the entire system is considered as a black box.
Probabilistic modeling, based on relative component failure and repair rates, is the most frequently used to evaluate hardware reliability.fault-tolerant systems  . The failure rate (or transition rate) from the normal state to the abnormal state (or vice versa) is assumed to be available.
However, how to estimate this parameter is not known. In essence, this rate is the failure rate of a subsystem in the fault-tolerant Size: KB.Fault-tolerant systems Systems, predominantly computing and computer-based systems, which tolerate undesired changes in their internal structure or external environment.
Such changes, generally referred to as faults, may occur at various times during the evolution of a system, beginning with its specification and proceeding through its utilization.