Paper
11 December 2024 Distributed encrypted storage of large-scale atomic data for cloud computing
Fan Pan, Xiang Chen, Guoyao Wu, Qiyou Wu, Zhiqiang Lan
Author Affiliations +
Proceedings Volume 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024); 134410F (2024) https://doi.org/10.1117/12.3050088
Event: International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 2024, Nanjing, China
Abstract
With the deepening application of Marketing 2.0 and Smart Brain, the problem of not being able to find, not being able to read, and not being able to use the data has been the difficulty and pain point of plaguing the business people to carry out data analysis independently. Therefore, this paper proposes a distributed encrypted storage of large-scale atomic data for cloud computing. In-depth study of the smallest computing factor with free combination and assembling ability, i.e., atomic data management application system, to realize efficient and safe storage of large-scale data in the cloud computing environment. At the same time, the study of atomic data business application system is directed by business requirements, aiming at consolidating the basic analysis base of marketing intelligent brain, empowering grass-roots business, lowering the threshold of data analysis at the grass-roots level, improving the ability of business risk identification, creating a good atmosphere of independent analysis, helping to cultivate the grass-roots digital team, and promoting the digital transformation of marketing. The research results show that the distributed encrypted storage method for large-scale atomic data oriented to cloud computing can effectively respond to the challenges of huge data volume, high access frequency, and high security requirements in the cloud computing environment.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Fan Pan, Xiang Chen, Guoyao Wu, Qiyou Wu, and Zhiqiang Lan "Distributed encrypted storage of large-scale atomic data for cloud computing", Proc. SPIE 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 134410F (11 December 2024); https://doi.org/10.1117/12.3050088
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KEYWORDS
Data storage

Cloud computing

Data modeling

Algorithm development

Computer security

Databases

Distributed computing

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