Method, system and electronic equipment for task scheduling based on predictive model

A predictive model and task scheduling technology, applied in program control design, electrical digital data processing, multi-program device, etc., to avoid low work efficiency, improve system utilization, and improve efficiency

Active Publication Date: 2020-08-18
创新奇智(上海)科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of current predictive task scheduling, the present invention proposes a task scheduling method, system and electronic equipment based on predictive models

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  • Method, system and electronic equipment for task scheduling based on predictive model
  • Method, system and electronic equipment for task scheduling based on predictive model
  • Method, system and electronic equipment for task scheduling based on predictive model

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Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] see figure 1 , the first embodiment of the present invention provides a task scheduling system 10 based on a forecast model, which is used for task scheduling to obtain forecast results corresponding to forecast requests submitted by users. There can be one or more users. In the present invention, multiple users are taken as an example for schematic illustration. Users include user 1, user 2, user 3...user n, user 1, user 2, user 3 ·····User n corresponds to user interface 1 , user interface 2 , user interface 3 ······user interface n respectively. Users can submit predict...

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Abstract

The invention provides a task scheduling method based on a prediction model. The method comprises the steps that S1, a master controller Master receives a prediction request submitted by a user; S2, respectively calculating the number of prediction requests received by the task queue by the loading counter and the canceling counter; Determining that the prediction request is stored in a task queueaccording to the numerical value of the loading counter; S3, the Worker executes the loading request in the task queue to load the prediction model, executes the prediction task in the task queue, and obtains a prediction result corresponding to the prediction task through calculation of the prediction model; And S4, the Worker executes the cancel requests in the task queue, controls the numerical value of the cancel counter according to the number of the executed cancel requests, and controls unloading of the prediction model according to the numerical value of the cancel counter. The invention further provides a corresponding task scheduling system based on the prediction model and electronic equipment, and the system and the method have the advantages of high task execution efficiency,low mutual interference and the like.

Description

【Technical field】 [0001] The invention relates to the field of artificial intelligence, in particular to a task scheduling method, system and electronic equipment based on a prediction model. 【Background technique】 [0002] In the application of artificial intelligence, people often need to load models at the same time to provide prediction services. For example, a retail e-commerce company needs to make related recommendations and sort products in different formats every day. The priority of these prediction tasks is often the same. In the existing prediction system, once users submit prediction requests at the same time, the model will be loaded repeatedly. In this way, the working efficiency of the whole forecasting system is low. In addition, after the prediction task is completed, the model is still loaded and not released in time, which reduces resource utilization. 【Content of invention】 [0003] In order to overcome the shortcomings of the current predictive task...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/4881G06F9/5038
Inventor 张发恩韩明林权周鹏程
Owner 创新奇智(上海)科技有限公司
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