Performance prediction method and device for storage equipment

Abstract

The invention discloses a performance prediction method and apparatus for a storage device. The method comprises the steps of executing a performance test based on different configuration parameters on the storage device and obtaining a plurality of storage performances based on the different configuration parameters as a plurality of test results; establishing a data sample feature space based onthe different configuration parameters and the plurality of test results; training a machine learning model by using the data sample feature space to generate a classification judgment function; andprocessing the specific configuration parameter by using the classification judgment function so as to predict the storage performance of the storage equipment under the specific configuration parameter. Performance of the storage device under different configurations can be automatically predicted, and the method is high in operability and convenient to implement.

Description

technical field [0001] The present invention relates to the technical field of storage, and more specifically, to a performance prediction method and device for a storage device. 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 status of storage components in the entire computer system More and more important, storage has changed 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 devices used is also Nature needs more and more attention. [0003] Unde...

AI Technical Summary

Problems solved by technology

The performance value of the storage device is related to the number of links selected, RAID (storage array) level, the number of disks included in the RAID, the number of LUNs (logical unit numbers) created, and the number of concurrency parameters when the hardware remains unchanged. In the process of storage device performance tuning, each parameter adjustment will affect the performance level. In general, it is necessary to repeatedly debug and combine experience to select the optimal storage performance configuration. There is no direct theoretical basis and plan to refer to, so it is difficult simply determine

[0005] There is currently no effective solution to the complex and cumbersome and manpower-consuming problems of storage device performance testing in the prior art

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