Service-oriented system quality dynamic early-warning method
A service-oriented, dynamic early warning technology, applied in forecasting, data processing applications, calculations, etc., can solve the problems that the forecast value cannot be guaranteed to be absolutely correct, and the reliability of the forecast results cannot be well guaranteed.
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[0018] The present invention will be described in detail below.
[0019] It can be proved that for Brown (Brown) motion Bt, there is Bt which is a martingale. Furthermore, if the assumption that the initial value of Brown’s motion is 0 is abandoned, that is, B0 can be a random variable independent of Bt,t>=0, then {Bt,t>=0} obtained in this way is a time-homogeneous Markov (Markov) process.
[0020] Assuming that a certain quality attribute value of the service component is a standard Brown motion with time T as the unit, and its initial value is v0, find the probability P that its attribute value changes to v1 in the subsequent ΔT time, Let v1=0. Further, considering that the quality fluctuation of the service component is a non-standard brown motion, if the drift coefficient and diffusion coefficient are respectively μ, σ 2 , in the subsequent Δt time, the probability P that its trust value changes to v1, P ( Q ...
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