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  4. Vol 10, Issue 1, 2026

Research on the Construction of an Integrated Information Resource Database Based on Cloud Computing Technology

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DOI: 10.23977/acss.2026.100101 | Downloads: 1 | Views: 52

Author(s)

Shenpeiyilin 1

Affiliation(s)

1 Amazon Web Servicees Inc, Arlington County, Virginia, USA

Corresponding Author

Shenpeiyilin

ABSTRACT

With the rapid advancement of information technology, information resources are characterized by their massive scale, diverse sources, and heterogeneous formats. Traditional databases can no longer meet the growing demand for efficient integration and sharing of information resources. Cloud computing, with its powerful computing capability, elasticity, and distributed storage, offers a new approach to building integrated information resource databases. Based on an analysis of the current state of information resources and system requirements, this study proposes a cloud computing–based framework for constructing such a database. The framework systematically addresses platform architecture design, data model development, and security control mechanisms, while incorporating methods for data collection, cleaning, storage, and retrieval. An extensible and reliable integrated database is thereby established. Through system implementation and case analysis, the feasibility and effectiveness of the framework in enhancing data sharing efficiency, system security, and performance optimization are validated. The results indicate that the proposed approach not only improves resource utilization and service capabilities but also provides a practical pathway for cross-domain information integration and application.

KEYWORDS

Cloud Computing; Information Resource Integration; Database Construction; Distributed Storage; Security and Performance Optimization

CITE THIS PAPER

Shenpeiyilin, Research on the Construction of an Integrated Information Resource Database Based on Cloud Computing Technology. Advances in Computer, Signals and Systems (2026) Vol. 10: 1-9. DOI: http://dx.doi.org/10.23977/acss.2026.100101.

REFERENCES

[1] Oke, Ayodeji Emmanuel, et al. "Exploring the benefits of cloud computing for sustainable construction in Nigeria." Journal of Engineering, Design and Technology 21.4 (2023): 973-990.
[2] Jyoti, Choudrie, and Zamani Efpraxia. "Understanding and exploring the value co-creation of cloud computing innovation using resource based value theory: An interpretive case study." Journal of Business Research 164 (2023): 113970.
[3] Waqar, Ahsan, et al. "Success of implementing cloud computing for smart development in small construction projects." Applied Sciences 13.9 (2023): 5713.
[4] Amini, Mahyar, and Negar Jahanbakhsh Javid. "A multi-perspective framework established on diffusion of innovation (DOI) theory and technology, organization and environment (TOE) framework toward supply chain management system based on cloud computing technology for small and medium enterprises." Organization and Environment (TOE) Framework Toward Supply Chain Management System Based on Cloud Computing Technology for Small and Medium Enterprises (January 2023). International Journal of Information Technology and Innovation Adoption 11 (2023): 1217-1234.
[5] Wu, Jiang, et al. "Case study of next-generation artificial intelligence in medical image diagnosis based on cloud computing." Journal of Theory and Practice of Engineering Science 4.02 (2024): 66-73.
[6] Al-Jumaili, Ahmed Hadi Ali, et al. "Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations." Sensors 23.6 (2023): 2952.
[7] Lin, Haifeng, et al. "Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine." Digital Communications and Networks 9.1 (2023): 111-124.
[8] Zhao, Min, and Kamran Rabiei. "Feasibility of implementing the human resource payroll management system based on cloud computing." Kybernetes 52.4 (2023): 1245-1268.
[9] Grace, Mia Ella. "Cloud Computing for Decision Making within the Clinical Sector." Journal of Biomedical and Sustainable Healthcare Applications 3.2 (2023): 087-094.
[10] Wang, Yufu, et al. "Cloud computing for large-scale resource computation and storage in machine learning." Journal of Theory and Practice of Engineering Science 4.03 (2024): 163-171.

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