Method for predicting elastic cloud computing resources based on SARIMA-WNN model
An elastic cloud computing and model prediction technology, applied in the field of cloud computing, can solve problems such as SLA breach, cloud computing resource waste, tenant service failure, etc., to solve inaccuracy, improve prediction speed and accuracy, solve blindness and The effect of slow convergence
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[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. The described embodiments are the Some, but not all, embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0022] Below in conjunction with accompanying drawing, the present invention is described in further detail:
[0023] The present invention provides a method for predicting elastic cloud computing resources based on the SARIMA-WNN model, combines other traditional single models efficiently, and designs a combination model with faster prediction speed and more acc...
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