A method and system for selecting loads based on characteristics
A feature selection and feature data technology, applied in the field of algorithms, can solve problems such as low load selection efficiency, and achieve the effect of improving efficiency
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Embodiment 1
[0047] Such as figure 1 Shown is a flowchart of a method for selecting a load based on features according to an embodiment of the present invention, and the method includes the following steps:
[0048] Step S101, performing preprocessing on the feature data to be processed.
[0049] In the embodiment of the present invention, preprocessing is performed on the feature data to be processed. Through the preprocessing, the effective data of the feature data can be obtained. The feature data is the feature displayed by the load during operation, and the feature includes but is not limited to: CPU-intensive, memory-intensive, IO-intensive and network-intensive. The step of preprocessing the feature data to be processed includes:
[0050] 1. Composing the feature data to be processed into a data matrix through granularity selection.
[0051] In the embodiment of the present invention, the granularity of the feature data to be processed is selected, that is, take the feature data ...
Embodiment 2
[0077] Such as figure 2 Shown is the structural diagram of the load system selected according to the characteristics provided by the embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:
[0078] The preprocessing unit 201 is configured to preprocess the feature data to be processed.
[0079] In the embodiment of the present invention, preprocessing is performed on the feature data to be processed. Through the preprocessing, the effective data of the feature data can be obtained. The feature data is the feature displayed by the load during operation, and the feature includes but is not limited to: CPU-intensive, memory-intensive, IO-intensive and network-intensive. The preprocessing unit 201 includes:
[0080] The data matrix composing subunit 2011 is configured to compose the feature data to be processed into a data matrix through granularity selection.
[0081] In t...
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