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Research on Genetic Algorithm for Resource Scheduling in Cloud Computing Based on User Satisfaction

Abstract : The paper borrows user satisfaction of the economic indicators in management economics to measure cloud computing resource scheduling service quality, and puts forward the definition of cloud computing resource scheduling and user satisfaction. On this basis, US-GA presents a genetic algorithm based on user satisfaction. The algorithm takes user satisfaction as the basis of genetic mutation operation, and obtains the best individual scheduling through several generations of evolution, that is, the optimal scheduling scheme, and achieves the improvement of cloud computing resource scheduling quality of service.
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https://www.hal.inserm.fr/inserm-02931300
Contributor : Wei Yu Guiwu Connect in order to contact the contributor
Submitted on : Saturday, September 5, 2020 - 10:37:15 PM
Last modification on : Tuesday, September 8, 2020 - 6:56:20 AM
Long-term archiving on: : Wednesday, December 2, 2020 - 9:06:39 PM

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  • HAL Id : inserm-02931300, version 1

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Wei Yu Guiwu. Research on Genetic Algorithm for Resource Scheduling in Cloud Computing Based on User Satisfaction. 5th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2018), Jun 2018, Beijing, China, China. ⟨inserm-02931300v1⟩

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