Abstract: In this paper, we study the reliability measures of a repairable system with M operating units, W warm standby units, and R repairmen in which switching failures and reboot delay are considered. It is assumed that there is a significant failure probability q in the switching process. Failure times of an operating unit and of a standby unit are assumed to be exponentially distributed w...

A single point of failure (SPOF) in system operations is a weak point of system reliability. Mean time to failure (MTTF) of system operations is equal to the shortage component’s MTTF in system. A Tier IV data center is designed to eliminate the SPOF. Data center system reliability is not only depended on the MTTF of each component in the system, but also relies on the mean time to repair (MTTR...

The mean time to failure (MTTF) of a Markovian system can be expressed as a ratio of two expectations. For highly reliable Markovian systems, the resulting ratio formula consists of one expectation that cannot be estimated with bounded relative error when using standard simulation, while the other, which we call a non-rare expectation, can be estimated with bounded relative error. We show that ...

Recently, wireless sensor networks (WSNs) have gained a great attention due to their ability to monitor various environments, such as temperature, pressure sound, etc. They are constructed from a large number of sensor nodes with computation and communication abilities. Most probably, sensors are deployed in an uncontrolled environment and hence their failures are inevitable all times of work. ...

This paper deals with asymptotic expressions of the Mean Time To Failure (MTTF) and higher moments for large, recursive, and non-repairable systems in the context of two-terminal reliability. Our aim is to extend the well-known results of the series and parallel cases. We first consider several exactly solvable configurations of identical components with exponential failure-time distribution fu...

This paper emphasizes that instead of long-term availability and reliability, the short-term session durability analysis will greatly impact the design of the real large-scale Peer-to-Peer storage system. In this paper, we use a Markov chain to model the session durability, and then derive the session durability probability distribution. Subsequently, we show the difference between our analysis...

BACKGROUND Mitochondrial diseases are characterized by wide phenotypic and genetic variability, but presentations in adults with akinetic rigidity and hyperkinetic movement disorders are rare. OBJECTIVES To describe clinically a subject with progressive neurodegeneration characterized by psychosis, dementia, and akinesia-rigidity, and to associate this phenotype with a novel mitochondrial tra...

With the effect of increasing production rate, probability shifting manufacturing process from “in-control” state to “out-of-control” increases with passage time. This happens due degradation mechanism which results in defective items. study helps examining changed rate on quality goods produced. research further examines influence “mean time failure (MTTF)”. increased is not always environment...

Conditional Monte Carlo with intermediate estimations is a proposal for applying Conditional Monte Carlo to the estimation of the failure probability of a multicomponent system modeled by a Markov chain. Through this probability it is possible to compute the MTTF. This article introduces the basis of this method, proves that it is unbiased, that its variance is less than the standard simulation...