Search results for "Mean time between failures"

showing 3 items of 3 documents

Accelerating Application Migration in HPC

2016

It is predicted that the number of cores per node will rapidly increase with the upcoming era of exascale supercomputers. As a result, multiple applications will have to share one node and compete for the (often scarce) resources available on this node. Furthermore, the growing number of hardware components causes a decrease in the mean time between failures. Application migration between nodes has been proposed as a tool to mitigate these two problems: Bottlenecks due to resource sharing can be addressed by load balancing schemes which migrate applications; and hardware errors can often be tolerated by the system if faulty nodes are detected and processes are migrated ahead of time.

Mean time between failuresComputer sciencebusiness.industry020206 networking & telecommunications02 engineering and technologyLoad balancing (computing)Computer securitycomputer.software_genreShared resourceVirtual machine0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinesscomputerComputer network
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Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model.

2020

[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during the reaction time experiments concluded that they follow a behavior which is consistent with …

Visual stimuliMean time between failuresVisual perceptionComputer scienceGeneral MathematicsFast Fourier transform050109 social psychologySpectral analysisPercepció visual03 medical and health sciences0302 clinical medicineFast Fourier transformComputer Science (miscellaneous)0501 psychology and cognitive sciencesSpectral analysisEngineering (miscellaneous)Reaction timebusiness.industrylcsh:MathematicsSpectral entropy05 social sciencesPattern recognitionMTBF modelTempslcsh:QA1-939Time dynamicsFISICA APLICADAArtificial intelligencebusinessMATEMATICA APLICADA030217 neurology & neurosurgery
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Robust Design of Automated Guided Vehicles System in an FMS

1996

Automated Guided Vehicles (AGV), as material handling systems, are widely diffused in FMS environment. The design of such a system involves the selection of the most suitable lay-out on one hand, and the choice of the “optimal” level of some parameters such as the number of vehicles. machine buffer capacity, the number of pallets, vehicle and part dispatching rules, etc. on the other. The optimal combination of these factor levels, that maximises a certain output variable, could be uncovered by Response Surface Methodology (RSM). But two are the problems that immediately arise in the application of such a technique: how to consider the qualitative variables, like dispatching or loading rule…

EngineeringNoiseTaguchi methodsVariable (computer science)Mean time between failuresbusiness.industryProduction (economics)Control engineeringResponse surface methodologyPalletbusinessSelection (genetic algorithm)
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