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.

Active Publication Date: 2013-12-18
SOUTHEAST UNIV
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Problems solved by technology

Since none of the existing methods can guarantee the absolute correctness of the predicted value, the reliability of the corresponding predicted results cannot be well guaranteed.

Method used

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  • Service-oriented system quality dynamic early-warning method

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Embodiment Construction

[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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Abstract

The invention relates to a service-oriented system quality dynamic early-warning method and belongs to the technical field of computer application. According to the method, condition preference of a user is sensed, and the brown movement first-reach principle is utilized to carry out early warning on dynamic changes of service quality attributes in a system. According to the method, the condition preference of the user in the system construction process is automatically led in, multi-dimensional historical attribute values of service quality are collected, the service quality fluctuation characteristic is analyzed, and therefore the characteristic attribute value is estimated, possible risks of the system during the service calling period are automatically analyzed, and intelligent early warning is achieved.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a method for solving dynamic early warning of service quality sensitive to user condition preference in complex systems. Background technique [0002] At present, there is no discovery of using a computer to solve the problem of dynamic early warning of service quality in a large-scale and complex system by combining user condition preferences. Although there are some methods that can solve the problem of prediction of system quality attribute values, or system function operation risk warning, such as: time series analysis method and regression analysis method, collaborative filtering method, Bayesian method based on conditional probability and maximum likelihood Estimation method, etc. These methods are related to the present invention, that is, they are all problems of predicting future data changes based on existing data trajectories. But the specific solution is a comple...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
Inventor 万程王红兵
Owner SOUTHEAST UNIV
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