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An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling

An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling

Fahong Yu, Meijia Chen, Bolin Yu
Copyright: © 2023 |Volume: 17 |Issue: 1 |Pages: 16
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781668479124|DOI: 10.4018/IJCINI.318651
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MLA

Yu, Fahong, et al. "An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling." IJCINI vol.17, no.1 2023: pp.1-16. http://doi.org/10.4018/IJCINI.318651

APA

Yu, F., Chen, M., & Yu, B. (2023). An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 17(1), 1-16. http://doi.org/10.4018/IJCINI.318651

Chicago

Yu, Fahong, Meijia Chen, and Bolin Yu. "An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 17, no.1: 1-16. http://doi.org/10.4018/IJCINI.318651

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Abstract

Resources scheduling is a major challenge in cloud computing because of its ability to provide many on-demand information technology services according to needs of customers. In order to acquire the best balance between speed of operation, average response time, and integrated system utilization in the resource allocation process in cloud computing, an improved bat algorithm with time-varying wavelet perturbations was proposed. The algorithm provided a perturbation strategy of time-varying Morlet wavelet with the waving property to prevent from local optimum greatly and improve the converging speed and accuracy through the guide of individual distribution to control diversity and time-varying coefficient of wavelets. The experiments showed the proposed could significantly upgrade the overall performance and the capability of resource scheduling in cloud service compared to similar algorithms.