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Resource management method and device, equipment and storage medium

A resource management and resource allocation technology, applied in the field of equipment and storage media, devices, and resource management methods, can solve problems such as large dependence on manpower and inability to realize cloud resource allocation, and achieve the effect of reducing complexity

Active Publication Date: 2021-10-01
ALIBABA GRP HLDG LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when AI model training is based on the cloud platform, it relies heavily on manpower and cannot realize automatic cloud resource allocation.

Method used

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  • Resource management method and device, equipment and storage medium
  • Resource management method and device, equipment and storage medium
  • Resource management method and device, equipment and storage medium

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Embodiment Construction

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0020] In the field of AI, training an algorithm model requires a large number of iterative optimization calculations based on massive training data, so the demand for storage resources and computing resources is high. For users who have algorithm model training needs, in order to reduce the cost of hardware facilities required for training, they can ...

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Abstract

The embodiment of the invention provides a resource management method and device, equipment and a storage medium. In the resource management method, a training code corresponding to a training task is analyzed, and training data corresponding to the training task and computing resource demand information of the training task can be obtained. Based on this, the training data can be synchronized to the cloud storage resources on the cloud platform, and the computing resource instance is allocated for the training task on the cloud platform according to the computing resource demand information, so that automatic adaptation of the storage resources and the computing resources on the cloud platform is realized, and the complexity of resource adaptation is reduced.

Description

technical field [0001] The present application relates to the technical field of cloud computing, and in particular to a resource management method, device, equipment and storage medium. Background technique [0002] Machine learning is the core of artificial intelligence (AI), which mainly trains AI models through different algorithms, and then makes computers intelligent based on AI models. [0003] The training of AI models is based on massive training data and a large number of iterative optimization calculations, so the demand for storage resources and computing resources is high. Based on this requirement, it has gradually become a trend to conduct AI model training on some cloud platforms that can provide massive storage resources and high-performance computing resources. [0004] However, when AI model training is based on the cloud platform, it relies heavily on manpower, and automatic cloud resource allocation cannot be realized. Therefore, a solution remains to ...

Claims

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Application Information

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IPC IPC(8): G06F9/50
CPCG06F9/5083
Inventor 林立翔龚志刚于子淇游亮龙欣
Owner ALIBABA GRP HLDG LTD
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