Early warning method and device applied to information system
An information system and target prediction technology, which is applied in the field of early warning methods and devices of information systems, can solve the problems that the accuracy of early warning results needs to be further improved, cannot adapt to data data types, and has poor adaptability.
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Embodiment 1
[0044] Please see figure 1 , is a flow chart of the early warning method applied to the information system provided in Embodiment 1 of the present application, such as figure 1 As shown, the method may include the following steps:
[0045] S110: Collect raw monitoring data of monitored nodes within a preset time period, and construct raw data descriptions according to preset characteristic indicators;
[0046] First of all, the original monitoring data of the monitored nodes within the preset time period can be collected. In the process of collecting the original monitoring data, the type of the collected original monitoring data can be determined according to the preset characteristic indicators. This is because different preset It is assumed that characteristic indicators or their combinations can reflect the early warning requirements of a certain aspect or aspects of the information system. raw monitoring data. For example, to monitor and warn the CPU occupancy rate of ...
Embodiment 2
[0120] see image 3 , which is a flow chart of the early warning method applied to the information system provided in Embodiment 2 of the present application, such as image 3 As shown, the method may include the following steps:
[0121] S310: Each time the target prediction data is predicted, determine the original monitoring data of the monitored node within the preset time period before the time point to be predicted, and use the node identification, monitoring time, and each preset A description matrix is constructed in three dimensions of the index amount of the characteristic index, and the description matrix is determined as the description of the original data; the row data of the description matrix identifies the index amount of a specific node under each preset characteristic index within a specific time;
[0122] S320: Analyze the description matrix by a principal component analysis method, obtain a first principal component, and determine the first principal ...
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