Architecture Design and Optimization of Large-scale Data Processing Systems in Cloud Computing Environments
DOI: 10.23977/acss.2024.080313 | Downloads: 2 | Views: 117
Author(s)
Liu Yongjin 1
Affiliation(s)
1 Xihua University, Chengdu, Sichuan, China
Corresponding Author
Liu YongjinABSTRACT
With the rapid development of cloud computing technology, large-scale data processing systems are facing unprecedented challenges and opportunities. This paper delves into the key technologies and strategies for constructing and optimizing large-scale data processing systems in a cloud computing environment. Firstly, the paper analyzes the characteristics of the cloud computing environment and its intrinsic connection with big data processing, clarifying the system design requirements. Subsequently, a comprehensive architecture design scheme is proposed, which combines distributed computing frameworks, efficient data storage and management strategies, and optimized network architectures. In terms of system optimization, the paper starts from four dimensions: performance, cost, scalability, and security, and proposes a series of targeted optimization measures, including resource scheduling optimization, cost-benefit analysis, modular design, and data security strategies. Through case analysis, the effectiveness of the proposed architecture design and optimization strategies has been validated. The research results of this paper not only provide theoretical guidance for large-scale data processing systems in cloud computing environments but also offer valuable references for practical applications in related fields.
KEYWORDS
Cloud Computing; Large-scale Data Processing; System Architecture; Performance Optimization; Cost-effectivenessCITE THIS PAPER
Liu Yongjin, Architecture Design and Optimization of Large-scale Data Processing Systems in Cloud Computing Environments. Advances in Computer, Signals and Systems (2024) Vol. 8: 91-96. DOI: http://dx.doi.org/10.23977/acss.2024.080313.
REFERENCES
[1] Zhou, G. Q. (2023). Research on large-scale data processing technology in cloud computing environment. Information and Computer (Theoretical Edition), 35(15), 70-72.
[2] Liu, P. (2021). Research on large-scale graph data processing technology in cloud computing environment. Electronic World, (19), 37-38. DOI: 10.19353/j.cnki.dzsj.2021.19.017.
[3] Zhang, J. W. (2020). On the computer processing technology of large-scale data. Scientific and Technological Innovation, (08), 66-67.
[4] Bai, Y. L. (2013). Research on large-scale data processing in cloud computing environment. Software, 34(05), 128-129.
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