Method and equipment for predicting performance of storage equipment based on SVM machine learning model
A technology of machine learning models and storage devices, which is applied in prediction, instruments, computer components, etc., can solve problems such as lack of theoretical basis and solutions, and achieve the effect of perfect automatic model learning, strong practicability, and strong operability
Active Publication Date: 2020-05-08
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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The performance value of the storage device is under the condition that the hardware remains unchanged, and the number of links selected, the RAID (Redundant Arrays of Independent Drives, disk array) level, the number of disks included in the RAID, and the created LUN (Logical Unit Number, logical unit number ) quantity, concurrent number and other parameter configurations. In the process of storage device performance tuning, each parameter adjustment will affect the performance level. Generally, it is necessary to repeatedly debug and combine experience to select the optimal storage performance configuration. There is no The direct theoretical basis and scheme can refer to
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[0040] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0041] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.
[0042] Based on the above purpose, the first aspect of the embodiment of the present invention proposes a method for predicting the performance of a storage device based on an SVM machine learning model, figure 1 It is a schematic diagram of an embo...
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The invention discloses a method for predicting the performance of storage equipment based on an SVM (Support Vector Machine) learning model. The method comprises the following steps: establishing a plurality of different storage equipment environments and acquiring configuration information of a plurality of corresponding configurations; establishing a feature space vector according to a configuration feature vector formed by the configuration information and the performance data corresponding to the configuration information; constructing a hyperplane decision function with a coefficient tobe solved; training a hyperplane decision function according to the plurality of feature space vectors so as to solve a coefficient to be solved and bring the coefficient to be solved into the hyperplane decision function; and obtaining a storage device performance prediction conclusion corresponding to the configuration information input in different storage device environments according to the obtained hyperplane decision function. The invention further discloses computer equipment. The method and device for predicting the performance of the storage device based on the SVM machine learning model are high in practicability, the performance utilization rate of the storage device can be conveniently increased through operation, and the performance testing efficiency of the storage device isimproved.
Description
technical field [0001] The present invention relates to the field of computer storage devices, more specifically, to a method and device for predicting the performance of a storage device based on an SVM machine learning model. Background technique [0002] With the rapid development of scientific computing and various network applications, the amount of information generated by human beings is increasing, which makes the storage of data more and more people's attention, thus making the position of storage components in the entire computer system more and more important. More and more important, storage has turned from a single disk and tape to a disk array, and then developed to the current popular storage network. The demand for large-scale data applications is constantly emerging, and massive data and its applications have become a new development direction. Data storage has had a huge impact on people's work and life, and the improvement of the performance of the storage...
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IPC IPC(8): G06K9/62G06F3/06G06Q10/04
CPCG06F3/0604G06Q10/04G06F18/2411
Inventor 李闯李玲侠
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD