Intelligent resource optimization method of container cloud platform based on load prediction
A load forecasting and resource optimization technology, applied in the field of cloud computing, can solve problems such as lagging resource scheduling, unbalanced resource utilization, and low resource utilization, so as to avoid performance loss, improve resource utilization, and reduce resource overhead.
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[0017] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0018] The main structure of the intelligent resource optimization of the container cloud platform of the present invention is as follows: figure 1 As shown, the method includes the following steps:
[0019] (1) Obtain the multi-dimensional load data of each container instance on the container cloud platform in real time, and generate the load time series corresponding to each dimension. Specifically include:
[0020] (1-1) Run the cAdvisor tool on each container instance of the container cloud platform to obtain real-time resource utilization data of container nodes, including multiple dimensions such as CPU, memory, disk, and network, and send them to each physical node The Data Collection module.
[0021] (1-2) The Data Collection module r...
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