Data trend analysis method, system, computer device and readable storage medium
An analysis method and data trend technology, which is applied in the field of data processing, can solve the problems of inability to notify in advance, inability to analyze and judge the trend of running status, etc.
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Embodiment 1
[0055] figure 1 It is a flow chart of the steps of a preferred embodiment of the data trend analysis method of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.
[0056] refer to figure 1 As shown, the data trend analysis method specifically includes the following steps.
[0057] Step S11. Obtain time series data of monitored objects, wherein the monitored objects include one or more monitored categories, and the time series data are parameter data sets of each monitored category at different time nodes.
[0058] In an implementation manner, one or more monitored objects may be connected by accessing a network, so as to obtain time series data of the monitored objects. The monitoring object may be a server, a server cluster or other electronic devices. The server or the server cluster may include several hardware resources (for example: CPU, memory, I / O interface, storage, etc....
Embodiment 2
[0089] figure 2 It is a functional block diagram of a preferred embodiment of the data trend analysis system of the present invention.
[0090] refer to figure 2 As shown, the data trend analysis system 10 may include an acquisition module 101 , a generation module 102 , a statistics module 103 , a judgment module 104 , and an output module 105 .
[0091] The acquiring module 101 is used to acquire time series data of a monitored object, wherein the monitored object includes one or more monitored categories, and the time series data is a parameter data set of each monitored category at different time nodes.
[0092] In an implementation manner, the acquiring module 101 may connect to one or more monitored objects by accessing a network, and then acquire time-series data of the monitored objects. The monitoring object may be a server, a server cluster or other electronic devices. The server or the server cluster may include several hardware resources (for example: CPU, mem...
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