Resource forecasting method, system and capacity management device

Abstract

The present invention provides a resource prediction method, system and capacity management device. The method includes: predicting the initial service index according to the service prediction algorithm and the historical data of the initial service index, and obtaining the prediction result of the initial service index; Obtaining the correlation factor of the initial business index, and obtaining the historical data of the correlation factor; predicting the correlation factor according to the historical data of the correlation factor and a business prediction algorithm, and obtaining the prediction result of the correlation factor; According to the prediction result of the initial service index and the prediction result of the correlation factor, the prediction result of the final service index is obtained, and the resource consumption of the server is predicted according to the prediction result of the final service index. The resource prediction method, system and capacity management device provided by the present invention can improve the accuracy of resource prediction.

Description

technical field [0001] The present invention relates to the field of cloud computing, in particular to a resource prediction method, system and capacity management device. Background technique [0002] Capacity management is used to evaluate the capacity of the existing network site, that is, to collect and analyze the capacity of CPU, memory, storage, network and other resources under the current business volume scale, and predict the system based on the current business scale and business volume growth trend future support. This supports capacity scheduling or capacity expansion in advance to ensure the smooth operation of the system. Therefore, a medium- and long-term resource forecasting and estimation method is needed. [0003] At present, the resource prediction and estimation of servers or service nodes are all predicted by predicting the resources consumed by the services themselves called by the business on the server. However, the resource consumption affecting s...

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Problems solved by technology

[0003] At present, the resource prediction and estimation of servers or service nodes are all predicted by predicting the resources consumed by the services themselves called by the business on the server. However, the resource consumption affecting services is complicated and may be affected by other service calls. Therefore, the current server prediction results usually have relatively large errors and are not accurate enough

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