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Employing mathematical modeling and analytical optimization techniques, traditional approaches to the resource-allocation (RA) problem for control of epidemics often suffer from unrealistic assumptions, such as linear scaling of costs and benefits, independence of populations, and positing that the epidemic is static over time. Analytical solutions to more realistic models, on the other hand, are...
We consider the problem of estimating the probability that a stochastic process observed at discrete time intervals exceeds a specified threshold. We further assume that the value of this process at any time, along any realization, is a conditional expectation which is not known analytically but can be estimated via simulation. This leads to a nested simulation procedure. One application of this arises...
Grid computing is an emerging computing paradigm that will have significant impact on the next generation information infrastructure. Due to the largeness and complexity of grid system, its quality of service, performance and reliability are difficult to model, analyze and evaluate. In real time evaluation, various noises will influence the model and which in turn accounts for increase in packet loss...
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