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On-line reliability prediction and improvement method of shopping system

A reliability and collection system technology, applied in forecasting, marketing, data processing applications, etc., can solve problems such as unpredictable reliability

Inactive Publication Date: 2015-09-23
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology

[0003] However, these methods have the following shortcomings: (1) It is impossible to predict the reliability of a certain time period starting from the current state based on the operating data; Components are positioned

Method used

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  • On-line reliability prediction and improvement method of shopping system
  • On-line reliability prediction and improvement method of shopping system

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] The online reliability prediction and improvement method of the shopping system proposed by the present invention can predict the reliability of the real-time running system at a certain time in the future on the one hand, and can reconfigure the system in a targeted manner through the positioning of faulty components, so as to Improve system reliability. The process is described in detail below:

[0046] (1) Collection of real-time dynamic data: First, by analyzing the functional performance of the system and other characteristics, determine the reasonable variables that need to record real-time values. For example, systems with time requirements can choose response time, systems with quantity requirements can choose throughput etc.; secondly, configure the system's log files according to the selected variables. The present invention selects a variable respon...

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Abstract

The invention discloses an on-line reliability prediction and improvement method of a shopping system. In the method, system reliability is predicted by a time sequence analysis model ARIMA and improvement of the reliability is realized through positioning and reconfiguring an error component. The method especially comprises the following steps: (1) configuring a log file and collecting real-time system operation data; (2) according to the collected data, determining the ARIMA model ARIMA (p, d, q); (3) according to an obtained prediction model ARMA, predicting actual effect data in a future period of time; (4) calculating the reliability of the system in the future period of time; (5) searching a component which may have a fault through a spectrum positioning method when the predicted reliability is lower than a predicted value; (6) considering system reliability improvement degrees brought by adding a component which has a same function with a fault component and replacing the fault component respectively, and selecting a method which is used to improve the reliability maximumly to reconfigure the system so as to improve the reliability.

Description

technical field [0001] The invention relates to a method for predicting and improving online reliability of a shopping system, which predicts the reliability of a real-time running shopping system in advance and provides a method for improving reliability, so as to ensure that the system can improve high-quality and highly reliable services. Background technique [0002] Software reliability is an important index to measure software quality. There are many studies on software reliability prediction, but most of these studies are on static reliability, and the data used come from the static data in the testing phase. Since the operating environment and dynamic behavior of the software are not considered, the predicted reliability cannot reflect the real reliability of the system; secondly, the static reliability cannot reflect the reliability of the system when it is running, so it cannot When it is high, reconfigure the system to improve reliability. Some people proposed t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02
Inventor 丁佐华杨晓燕徐婷周远
Owner ZHEJIANG SCI-TECH UNIV
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