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Data labeling task scheduling method based on intelligent optimization

A technology of intelligent optimization and task scheduling, applied in the direction of electrical digital data processing, multi-programming devices, instruments, etc., to reduce the probability of falling into local optimum and improve the execution efficiency

Active Publication Date: 2022-04-08
GUANGDONG OKING INFORMATION IND CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To a certain extent, it overcomes the disadvantage that the traditional whale optimization algorithm is prone to fall into local optimum when it is applied to the data labeling task scheduling problem, and the invention can improve the execution efficiency of the data labeling task

Method used

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  • Data labeling task scheduling method based on intelligent optimization
  • Data labeling task scheduling method based on intelligent optimization
  • Data labeling task scheduling method based on intelligent optimization

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Experimental program
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Embodiment

[0061] This embodiment combines figure 1 and figure 2 , the specific implementation steps of the present invention are as follows:

[0062] Step 1, input the number of labeling servers ND=100, and then input the number of data labeling tasks MT=300; the labeling server refers to the server used to perform the data labeling task; the data labeling task refers to the given A batch of data, requiring labeling of the given data;

[0063] Step 2, enter the memory size value MZ of 100 annotation servers ki and processing power value PZ ki , where the subscript ki=1,2,...,100; the processing capability value refers to the number of instructions that the labeling server can execute per second;

[0064] Step 3, enter the memory size value TR required for 300 data labeling tasks ti , and the processing power value PR required for 300 data labeling tasks ti , where subscript ti=1,2,...,300;

[0065] Step 4: Enter the time value ET required to complete the execution of the ti-th d...

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Abstract

The invention discloses a data labeling task scheduling method based on intelligent optimization. The invention aims at the disadvantage that the traditional whale optimization algorithm is easy to fall into local optimum when solving the data labeling task scheduling problem, and the invention proposes an improved whale optimization algorithm to solve the data labeling task scheduling problem. In the improved whale optimization algorithm, firstly, the preference rate is calculated based on the fitness value of the individual, and then the proximity is calculated based on the individual Euclidean distance, and then the orientation coefficient is used to fuse the preference rate and proximity to construct the individual orientation rate. And according to the orientation rate to select individuals to guide the search, while increasing the algorithm convergence speed while maintaining the diversity of the population, it can reduce the probability of falling into a local optimum, thereby improving the execution efficiency of data labeling tasks.

Description

technical field [0001] The invention relates to the field of cloud computing task scheduling, in particular to a data labeling task scheduling method based on intelligent optimization. Background technique [0002] In recent years, artificial intelligence technology is in full swing into all aspects of human life. Artificial intelligence technology has become an indispensable part of human life, for example, intelligent navigation, intelligent barrier gates in parking lots, fingerprint time attendance, facial recognition payment, etc. Annotated data is the foundation of artificial intelligence technology. Only with massive labeled data can the accuracy and usability of artificial intelligence technology be better improved. People can already collect massive amounts of data through Internet technology. However, labeling the massive data collected is a very time-consuming task. [0003] In order to realize the labeling of massive data, researchers proposed intelligent data...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/48G06F9/50G06N3/00
CPCG06F9/5016G06F9/4843G06N3/006
Inventor 陈远存郭肇禄谭力江蔡岳城李凯辉
Owner GUANGDONG OKING INFORMATION IND CO LTD