This article through to the analysis of the traditional vehicle fault diagnosis instrument, and research the related theory and characteristics of cloud computing and related core technology, put forward the vehicle fault diagnosis instrument based on cloud computing, it will store all the data in the cloud that the fault diagnosis required for, and do a big data parallel computing in the cloud...

In any manufacturing environment, the fault introduction rate might be considered one of the most meaningful criterion to evaluate the goodness of the development process. In many investigations, the estimates of such a rate are often oversimplified or misunderstood generating unrealistic expectations on the prediction power of regression models with a fault criterion. The computation of fault ...

Grid computing is defined as geographically distributed, heterogeneity (different hardware, software and networks), resource sharing, multiple administrators, dependable access, and Pervasive access within dynamic organizations. In grid computing, the rate of failure is much greater than in traditional parallel computing. Therefore, the fault tolerance is an important property in order to achie...

Pact is a parallel programming environment relieving the programmer from the burdens of parallel programming which are not really necessary to write efficient parallel programs. This is done by providing a simple synchronization model and virtual shared data with user-defined granularity and automatic consistency control. Pact guarantees user-transparent fault-tolerance with low overhead by usi...

Dynamic Fault Trees (DFT) are a generalization of Fault Trees which allows the evaluation of the reliability of complex and redundant systems. We propose to analyze DFT by a new version of time parallel simulation method we have recently introduced. This method takes into account the monotonicity of the sample-paths to derive upper and lower bounds of the paths which become tighter when we incr...

Linda is a language for programming parallel applications whose most notable feature is a distributed shared memory called tuple space. While suitable for a wide variety of programs, one shortcoming of the language as commonly defined and implemented is a lack of support for writing programs that can tolerate failures in the underlying computing platform. This paper describes FT-Linda, a versio...

This paper presents the FTSET tool for fault tolerance evaluation and improvement of Artificial Neural Networks. Fault tolerance is a characteristic of parallel distributed systems such as neural networks. Although there is a built-in fault tolerance in neural networks, it is possible to improve this characteristic, but changing the structure of an artificial neural network to improve its fault...

With increasing number of processors available on nowadays high performance computing systems, the mean time between failure of these machines is decreasing. The ability of hardware and software components to handle process failures is therefore getting increasingly important. The objective of this paper is to present a fault tolerant approach for the implicit forward time integration of parabo...

We reintroduce the coded model of fault-tolerant computation in which the input and output of a computational device are treated as words in an error-correcting code. A computational device correctly computes a function in the coded model if its input and output , once decoded, are a valid input and output of the function. In the coded model, it is reasonable to hope to simulate all computation...

We present hierarchical master-slave architecture for performing parallel raytracing algorithms that can support a large population of participating clients and at the same time maintain fault tolerance at the application level. Our design allows for scalability with minimal data redundancy and maximizes the utilization of each client involved in the raytracing process. Our results show that th...