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Resource recommendation method and device, electronic equipment and machine readable storage medium

A technology for recommending methods and resources, applied in neural learning methods, instruments, electrical digital data processing, etc., can solve problems such as easy preemption of other container resources, unreasonable settings, long task running time, etc., to improve rationality and optimize The effect of resource utilization

Pending Publication Date: 2021-03-26
HANGZHOU HIKVISION SYST TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The memory resources that can be used by the container (container) on the YARN platform are set by the user when submitting the application, and the memory resources used by the user require rich experience, and are prone to unreasonable settings. If the resource setting is too high, it is easy to seize the resources of other containers; if the memory resource setting is too low, it may cause the task to run for too long

Method used

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  • Resource recommendation method and device, electronic equipment and machine readable storage medium
  • Resource recommendation method and device, electronic equipment and machine readable storage medium
  • Resource recommendation method and device, electronic equipment and machine readable storage medium

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Embodiment Construction

[0031] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0032] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

[0033] In order to enable those skilled ...

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Abstract

The invention provides a resource recommendation method and device, electronic equipment and a machine readable storage medium. The method comprises the steps of obtaining task submission information;determining whether the target data volume is within the range of a pre-constructed data set or not; and if the target data volume is within the range of the pre-constructed data set, performing resource recommendation according to the expected maximum operation duration, the target data volume and the pre-constructed data set. According to the method, automatic resource allocation can be realized, the resource recommendation rationality and the resource allocation efficiency are improved, and the resource utilization rate is optimized.

Description

technical field [0001] The present application relates to the technical fields of artificial intelligence and big data, and in particular to a resource recommendation method, device, electronic equipment, and machine-readable storage medium. Background technique [0002] YARN (Yet Another Resource Negotiator, another resource coordinator) is a new Hadoop resource manager. It is a general resource management system that can provide unified resource management and scheduling for upper-layer applications. There are huge benefits in terms of utilization, unified management of resources, and data sharing. [0003] The memory resources that can be used by the container (container) on the YARN platform are set by the user when submitting the application, and the memory resources used by the user require rich experience, and are prone to unreasonable settings. If the resource setting is too high, it is easy to seize the resources of other containers; if the memory resource setting ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9536G06N3/04G06N3/08G06Q50/00
CPCG06F16/9535G06F16/9536G06Q50/01G06N3/084G06N3/047G06N3/045Y02D10/00
Inventor 叶铿
Owner HANGZHOU HIKVISION SYST TECH
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