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Method for personalized cloud recommendation in multi-cloud platform environment

A multi-cloud platform and recommended method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as failure of recommended methods, inability to effectively remove contradictory elements, and complicated methods of PCM consistency, so as to improve efficiency effect on accuracy

Inactive Publication Date: 2016-11-09
HUNAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, there are two deficiencies in the existing methods: first, the existing methods to improve the consistency of PCM are relatively complex and inefficient; second, the existing methods cannot effectively remove contradictory elements
However, the existence of contradictory elements makes recommendation methods such as PCM-based AHP invalid.

Method used

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  • Method for personalized cloud recommendation in multi-cloud platform environment
  • Method for personalized cloud recommendation in multi-cloud platform environment
  • Method for personalized cloud recommendation in multi-cloud platform environment

Examples

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Embodiment Construction

[0026] The present invention proposes a personalized cloud recommendation scheme in a multi-cloud platform environment. In this scheme, the priority of user attention to each performance is constructed into a preference paired comparison matrix, and the priority of each performance of the cloud platform is constructed into a performance component For the comparison matrix, by identifying the inconsistent columns and contradictory columns in all pairwise comparison matrices, correcting the inconsistent elements in the inconsistent columns, and correcting the contradictory elements in the contradictory columns, a pairwise comparison matrix that meets the consistency requirements is obtained. Finally, use The analytic hierarchy process calculates the user's preference weight vector for each cloud platform, and recommends the cloud platform to the user based on the weight vector, so as to realize the cloud recommendation scheme that meets the user's individual needs in the multi-clo...

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Abstract

The invention discloses a method for personalized cloud recommendation in a multi-cloud platform environment. Firstly, property attention priorities of a user are constructed into preference paired-comparison matrixes, the property priorities of cloud platforms are constructed into property paired-comparison matrixes, further inconsistent elements in inconsistent columns are amended by identifying inconsistent columns and contradicted columns in all the paired-comparison matrixes, the contradicted elements in the contradicted columns are corrected, the paired-comparison matrixes meeting the consistency requirements are obtained, finally preference weight vectors of the user to the cloud platforms are calculated by utilizing an analytic hierarchy process, the cloud platforms are recommended to the user based on the weight vectors, and accordingly a cloud recommendation scheme meeting the personalized requirement of the user in the multi-cloud platform environment is achieved. The method effectively improves the efficiency and accuracy of a cloud recommendation system and makes the system have better practicability.

Description

technical field [0001] The invention relates to technical fields such as cloud computing and personalized recommendation, in particular to a method for personalized cloud recommendation in a multi-cloud platform environment. Background technique [0002] In recent years, with the development of cloud computing technology, world-renowned information technology companies have built their own cloud platforms, such as Amazon's Elastic Compute Cloud (EC2), IBM's Blue Cloud, Baidu's Baidu Cloud, Alibaba's Aliyun Wait. Faced with many cloud platforms, users cannot choose the most suitable cloud platform according to their own preferences. Therefore, there is an urgent need for a personalized cloud recommendation solution for multi-cloud platforms. [0003] Existing recommendation methods include Analytic Hierarchy Process (AHP), Network Analysis (Analytical Network Process, ANP), and PROMETHEE. These methods are all based on the pairwise comparison matrix (Pairwise Comparison Ma...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 林亚平张伟
Owner HUNAN UNIV
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