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Journal of System Simulation

Abstract

Abstract: In order to improve the efficiency of cloud-based web services, an improved plant growth simulation algorithm scheduling model. This model first used mathematical methods to describe the relationships between cloud-based web services and the constraints of system resources. Then, a lightinduced plant growth simulation algorithm was established. The performance of the algorithm was compared through several plant types, and the best plant model was selected as the setting for the system. Experimental results show that when the number of test cloud-based web services reaches 2 048, the model being 2.14 times faster than PSO, 2.8 times faster than the ant colony algorithm, 2.9 times faster than the bee colony algorithm, and a remarkable 8.38 times faster than the genetic algorithm.

First Page

462

Last Page

473

CLC

TP391

Recommended Citation

Li Qiang, Qin Huawei, Qiao Bingqin, et al. An Algorithm for Cloud-based Web Service Combination Optimization Through Plant Growth Simulation[J]. Journal of System Simulation, 2025, 37(2): 462-473.

Corresponding Author

Qin Huawei

DOI

10.16182/j.issn1004731x.joss.23-0830E

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