Cloud server resource performance prediction method using ARIMA-RNN combined model
A cloud server, combined model technology, applied in prediction, neural learning method, biological neural network model and other directions, can solve the problems of low data prediction accuracy, low accuracy, slow RNN model convergence speed, etc., to achieve the effect of predicting aging phenomenon
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[0035] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0036] The object of the present invention is to provide a kind of cloud server resource performance prediction method using ARIMA-RNN combined model, comprising the following steps:
[0037] Step 1, collect resource and performance data of the cloud server.
[0038] Step 2, obtain cloud server resource and performance sequence data, described resource and performance sequence data include: CPU idle rate, available memory, average load and response time etc.
[0039] Step 3, preprocessing the sequence data obtained in step 2.
[0040] Step 4, use the data obtained in step 3 to construct an ARIMA model, and obtain the predicted value of the ARIMA model for the data obtained in step 3.
[0041] Step 5, calculate the average correlation of the sequence data obtained in step 3, and construct the RNN model.
[0042] Step 6, use the results obta...
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