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Advances in Computer and Communication

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ArticleOpen Access http://dx.doi.org/10.26855/acc.2024.07.004

Research on Optimization Strategy of Cloud Computing Resources in Big Data Environment

Bo Gan1,*, Shan Jin2

1Department of Cloud Computing and Big Data Analysis, Shandong Vocational and Technical College of Labor, Jinan 250000, Shandong, China.

2Department of Computer Technology, Shandong Vocational and Technical College of Labor, Jinan 250000, Shandong, China.

*Corresponding author: Bo Gan

Published: August 01, 2024

Abstract

In recent years, with the advent of the era of big data, the amount of data has shown explosive growth, and the demand for cloud computing resources is also increasing. How to optimize cloud computing resource allocation and improve resource utilization and system performance under big data environments has become an important research topic in the field of cloud computing. Based on the characteristics of big data processing, this paper proposes a cloud computing resource optimization strategy based on dynamic resource scheduling and data localization. By analyzing the architecture of the cloud computing platform, data localization, and task scheduling algorithms are introduced to optimize resource allocation and task execution efficiency. At the same time, this paper also designs a resource demand prediction model based on machine learning. This model achieves the prediction of future resource demand by analyzing and training historical data, thereby enhancing the resource utilization rate. Finally, it provides a new idea and method for the optimization of cloud computing resources by looking into the future development direction.

Keyword

Big data; Cloud computing; Resource optimization; Dynamic scheduling; Data localization; Machine learning

References

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[2] Sebastiano G, Alessandro T, Giulia C, et al. Multimodal, open-source big data analysis in asthma: A novel approach to inform public health programming [J]. World Allergy Organization Journal, 2023, 16 (4): 100764-100764.

[3] P. N, E. V S, Kumar S M, et al. A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming [J]. Mathematical Problems in Engineering, 2023, 2023

[4] Pin W, Wei W, Lingyu Z, et al. Information flow-based second-order cone programming model for big data using rough concept lattice [J]. Neural Computing and Applications, 2022, 35 (3): 2257-2266.

[5] Loris B, Riccardo C, Fabrizio M, et al. Programming big data analysis: principles and solutions [J]. Journal of Big Data, 2022, 9 (1).

Copyright

© 2024 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this paper

Research on Optimization Strategy of Cloud Computing Resources in Big Data Environment

How to cite this paper: Bo Gan, Shan Jin. (2024) Research on Optimization Strategy of Cloud Computing Resources in Big Data Environment. Advances in Computer and Communication5(3), 177-182.

DOI: http://dx.doi.org/10.26855/acc.2024.07.004