In Classical Bayesian approach, estimation of lifetime data usually is dealing with precise information. However, in real world, some informations about an underlying system might be imprecise and represented in the form of vague quantities. In these situations, we need to generalize classical methods to vague environment for studying and analyzing the systems of interest. In this paper, we pro...

The design and evaluation of highly reliable computer systems is a complex issue. Designers mostly develop such systems based on prior knowledge and experience and occasionally from analytical evaluations of simplified designs. This paper presents a simulation-based environment called DEPEND which is especially geared for the design and evaluation of fault-tolerant architectures. DEPEND is uniq...

To model the lifetime of a device, increasing Markov chains are used. The transition probabilities of the chain are as follows: pi, j = p if j = i+δ, and pi, j = 1− p if j = i+2δ. The mean time to failure of the device, namely the mean number of transitions required for the process, starting from x0, to take on a value greater than or equal to x0 + kδ is computed explicitly. A second version of...

The nonlocal means (NL-Means) method that has been widely used in the field of image processing in recent years effectively overcomes the limitations of the neighborhood filter and eliminates the artifact and edge problems caused by the traditional image denoising methods. Although NL-Means is very popular in the field of 2D image signal processing, it has not received enough attention in the f...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

Soft errors are a growing concern for processor reliability. Recent work has motivated architecture level studies of soft errors since the architecture level can mask many raw errors and architectural solutions can exploit workload knowledge. My dissertation focuses on the modeling and analysis of soft error issues at the architecture level. We start with the widely used method for estimating t...

Most part of the existing analytical models to predict service reliability and availability assume a static behavior of the service and do not take into account the correlation between the invoked system components. In order to take into account the dynamic aspects of a service as functional chains, operational processes and logistic support, a hybrid approach is here introduced: a dynamic SERA...

Exascale systems of the future are predicted to have mean time between failures (MTBF) of less than one hour. Malleable applications, where the number of processors on which the applications execute can be changed during executions, can make use of their malleability to better tolerate high failure rates. We present AdFT, an adaptive fault tolerance framework for long running malleable applicat...

The main effort of the present study is to analyze the availability and reliability of a high-performance linac (linear accelerator) conceived for Accelerator-Driven Systems (ADS) purpose and to suggest recommendations, in order both to meet the high operability goals and to satisfy the safety requirements dictated by the reactor system. Reliability Block Diagrams (RBD) approach has been consid...

In order to solve the problem that online upgrade system for vehicle ECU (Electronic Control Unit) has poor reliability and stability, this paper presents a reliability assessment model based on Markov mathematical model. According to the practical operation of online upgrade system, this paper divided the work state of the system into eight kinds such: normal running state, equipment failure s...