Resource allocation method and device, model training method and device and electronic equipment

Abstract

The invention discloses a resource allocation method and device, a model training method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical field of cloud computing and deep learning. According to the specific implementation scheme, the method comprises the following steps: obtaining a region and time periods of service deployment, the required resources capacity of a service in each time period and the available resources capacity in each time period; and inputting the region, the time period, the required resources capacity and the available resources capacity into a target model, and allocating resources for the service by the target model. Therefore, the region, the time period, the required resources capacity and the available resources capacity of service deployment can be input into the target model, the target model allocates resources for the service, the influence of the region, the time period, the required resources capacity and the available resource capacity on resources allocation can be comprehensively considered, the flexibility and the real-time performance of resources allocation are improved, and the resources allocation efficiency is improved. And resources can be allocated to the service through the target model, so that automatic resource allocation of the service can be realized, and the labor cost is saved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a resource allocation method, a model training method, a device, electronic equipment, a storage medium and a computer program product. Background technique [0002] At present, with the development of network technology, there are many types of network services, such as shopping, ordering, chatting and making friends, reading and other services, which enrich people's lives. Most of the resource allocation methods in the prior art perform resource allocation according to the maximum resource capacity required by the service. The resource allocation method is relatively single, not flexible enough, and has low resource utilization. Contents of the invention [0003] Provided are a resource allocation method, a model training method, a device, an electronic device, a storage medium and a computer program product. [0004] According to the first aspect, a resource ...

AI Technical Summary

Problems solved by technology

Most of the resource allocation methods in the prior art are allocated according to the maximum resource capacity required by the service. The resource allocation method is relatively single, not flexible enough, and the resource utilization rate is low.

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