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Cloud service composition method for data annotation

A cloud service combination, data-oriented technology, applied in the direction of electrical digital data processing, multi-programming devices, instruments, etc., can solve problems such as falling into local optimum, improve efficiency, reduce the probability of falling into local optimum, and enhance diversity Effect

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 bat bionic algorithm is easy to fall into local optimum when it is applied to the combination of cloud services in data annotation.

Method used

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  • Cloud service composition method for data annotation
  • Cloud service composition method for data annotation
  • Cloud service composition method for data annotation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] This embodiment combines figure 1 , the specific implementation steps of the present invention are as follows:

[0043] Step 1, the user enters the number of subtasks TN=50 for data labeling, inputs TN cloud service sets, and then inputs the lower limit value of the comprehensive reliability index LMR=0.98; the data labeling refers to labeling given data; Wherein, the given data includes but not limited to text data, image data and voice data; the cloud service collection is composed of multiple cloud services, and the cloud service refers to a computer system that provides computer software resources and hardware resources;

[0044] Step 2, the user enters the number of individual bats BN=100, the maximum frequency fa=2.5, the minimum frequency fi=0.5, and the maximum algebra MaxIT=600;

[0045] Step 3, set the current algebra t=0;

[0046] Step 4, randomly generate the current position and current speed of BN individual bats according to the formula (1), and then fo...

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PUM

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Abstract

The invention discloses a data label-oriented cloud service composition method. The invention applies the improved bat bionic algorithm to realize cloud service combination in the field of data labeling. In the improved bat bionic algorithm, firstly, the user inputs the number of subtasks labeled by the data, the collection of cloud services, and the lower limit of the comprehensive reliability index; secondly, randomly generates bat individuals to form a population; thirdly, uses the historical excellent position and the historical excellent position The average value of , generates the orientation position, which is then used to guide the search direction of each individual bat. The invention comprehensively utilizes the historical excellent position and the average value of the historical excellent position to guide the search direction, can reduce the probability of falling into a local optimum, and can improve the efficiency of cloud service combination in data labeling.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a data label-oriented cloud service combination method. Background technique [0002] The basis of artificial intelligence technology is massive labeled data. In order to realize the labeling of massive data, engineers and technicians usually need to build a cloud computing system to complete the computing tasks of data labeling. In a data annotation-oriented cloud computing system, data annotation tasks are usually combined with a certain number of cloud services to complete the execution process. During the execution of data labeling tasks, it is often necessary to solve a cloud service composition problem. Specifically, the problem of cloud service composition in the field of data labeling refers to: given a data labeling task consisting of TN subtasks, and requiring TN subtasks to collect ST from TN cloud service sets respectively 1 ,ST 2 ,...,ST tj ,...,ST TN Select the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/48G06F9/50G06N3/00
CPCG06F9/4881G06F9/5066G06N3/006
Inventor 陈远存谭力江郭肇禄许益美蔡岳城
Owner GUANGDONG OKING INFORMATION IND CO LTD
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