Industrial cloud service resource scheduling matching combination method

A technology of resource scheduling and combination method, which is applied in the field of industrial cloud service resource scheduling matching combination, and can solve problems such as unfavorable customer recommended service combination, inaccurate fitness value, etc.

Active Publication Date: 2019-10-08
CHONGQING UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] However, the existing technology does not consider the interaction of candidate services between different tasks. Therefore,

Method used

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  • Industrial cloud service resource scheduling matching combination method
  • Industrial cloud service resource scheduling matching combination method
  • Industrial cloud service resource scheduling matching combination method

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Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] The invention discloses an industrial cloud service resource scheduling matching combination method, which includes the following steps:

[0036] S1. Obtain the candidate service combination plan, each candidate service combination includes several tasks, each task in each candidate service combination selects a candidate service, and there is at least one candidate service corresponding to a task in any two candidate service combinations different;

[0037] S2. Obtain the quality constraint conditions among the candidate services, and calculate the fitness value of each candidate service combination based on the quality constraint conditions among the candidate services;

[0038] S3. Select the candidate service combination with the highest fitness value as the final service combination.

[0039] Such as figure 2 As shown, task t 1 Candidate serv...

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Abstract

The invention discloses an industrial cloud service resource scheduling matching combination method. The method comprises the following steps that S1, acquiring candidate service combination schemes,wherein each candidate service combination comprises a plurality of tasks, selecting one candidate service for each task in each candidate service combination, with candidate services corresponding toat least one task in any two candidate service combinations being different; S2, acquiring quality constraint conditions among the candidate services, and calculating an adaptive value of each candidate service combination based on the quality constraint conditions among the candidate services; and S3, selecting the candidate service combination with the highest adaptive value as the final service combination. According to the method, the mutual influence of the candidate services between different tasks is fully considered, so that the adaptive values of various candidate service combinations can be more accurately calculated, and the optimal service combination is obtained through matching.

Description

technical field [0001] The invention relates to the technical field of resource scheduling, in particular to a method for matching and combining industrial cloud service resource scheduling. Background technique [0002] There are potential business dependencies between cloud services, which makes searching and composition difficult. For example, a flight booking service may charge less if payment is made by credit card of certain specific banks, or a manufacturer may choose to cooperate with only certain logistics companies instead of all logistics companies according to the agreement between them. Therefore, the problem of optimal service selection driven by such collaborative dependencies is not trivial. Using different mathematical models and algorithms, a lot of research has been done on the optimal service selection problem of service composition. However, most of these approaches assume that the services involved in the composition are independent of each other, thu...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/10
CPCG06Q10/04G06Q50/10
Inventor 杨正益衡柟男曾杰文俊浩熊庆宇
Owner CHONGQING UNIV
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