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Memory detection model training method and device, equipment and medium

A technology for memory detection and training methods, which is applied in faulty hardware testing methods, detection of faulty computer hardware, computing models, etc.

Pending Publication Date: 2022-03-29
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This obviously cannot adapt to various complex and changeable application scenarios, nor does it satisfy the rapid upgrade rhythm

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  • Memory detection model training method and device, equipment and medium
  • Memory detection model training method and device, equipment and medium
  • Memory detection model training method and device, equipment and medium

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Embodiment Construction

[0072] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0073] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The embodiment of the invention relates to a memory detection model training method and device, equipment and a medium, and the method comprises the steps: obtaining original data statistical values of account data stored in at least three memory storage systems; obtaining the actual space occupation amount occupied by the memory space in each memory storage system; and taking the original data statistical value and the actual space occupation amount corresponding to each memory storage system as training samples, and carrying out training learning on parameters of a set memory detection model to determine all parameters in the memory detection model, the memory detection model is used for detecting the memory space occupation amount according to the original data statistical value of the account data stored in the memory storage system. According to the embodiment of the invention, the memory detection model can be obtained by fitting and learning the memory detection model by adopting the original data statistical value and the actual space occupancy in the memory storage system, and the method has universal applicability.

Description

technical field [0001] The embodiments of the present disclosure relate to the technical field of computer data storage, and in particular, to a training method, device, device and medium of a memory detection model. Background technique [0002] In computer technology, memory is an indispensable resource for program operation. Especially in the business services provided by the Internet, when the server provides services to the client, a lot of data needs to be cached in the memory, which can Fast support data response. Among them, Remote Dictionary Server (Redis), as a high-performance in-memory Key-Value (key-value pair) database, has been widely used in various fields that require high-performance storage, especially Internet companies. application. [0003] In the actual application of Redis, it is often necessary to store the data of multiple accounts in the same Redis cluster. At this time, being able to accurately count the memory space occupied by each account bec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/22G06N20/00
CPCG06F11/2273G06N20/00
Inventor 王炳航
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD