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Storage device performance prediction method and device

A technology for performance prediction and storage devices, applied in the field of big data storage, which can solve problems such as error learning, failure to take into account the time locality of storage data blocks, and the impact of storage access requests.

Active Publication Date: 2020-06-26
上海飞旗网络技术股份有限公司
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Problems solved by technology

[0002] The performance prediction accuracy of the storage device is related to the dynamic planning accuracy of the subsequent storage device resources. Currently, the relative error between the response time of each storage access request and its predicted value is relatively large. The inventors of the present application found that the traditional performance prediction scheme The time locality of the currently accessed storage data blocks is usually not taken into account, and the accumulation of some sudden storage access requests may have a long-term impact on subsequent storage access requests, resulting in incorrect learning during model training. these characteristics, which seriously reduces the performance prediction accuracy

Method used

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  • Storage device performance prediction method and device

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Embodiment Construction

[0055] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some of the embodiments of this application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may add one or more other oper...

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Abstract

The embodiment of the invention provides a storage device performance prediction method and device. The method comprises the steps: combining the feature information of a currently accessed storage data block in a model training process, and further considering all workload features, so as to learn a similar access mode of each storage access request; furthermore, model training is carried out byeliminating request waiting time in the simulation service time of each storage access request; according to the method, the condition that the features are mistakenly learned in the model training process due to long-term influence on subsequent storage access requests caused by accumulation of some burst storage access requests can be avoided, so that the performance prediction precision and thedynamic planning accuracy of storage equipment resources are improved.

Description

technical field [0001] The present application relates to the technical field of big data storage, and in particular, to a storage device performance prediction method and device. Background technique [0002] The performance prediction accuracy of the storage device is related to the dynamic planning accuracy of the subsequent storage device resources. Currently, the relative error between the response time of each storage access request and its predicted value is relatively large. The inventors of the present application found that the traditional performance prediction scheme The time locality of the currently accessed storage data blocks is usually not taken into account, and the accumulation of some sudden storage access requests may have a long-term impact on subsequent storage access requests, resulting in incorrect learning during model training. These characteristics are eliminated, which seriously reduces the performance prediction accuracy. Contents of the inven...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/06
CPCG06F3/0607G06F3/0629G06F3/067
Inventor 杨贻宏
Owner 上海飞旗网络技术股份有限公司
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