Cloud Infrastructure for Community-Driven Data Sharing
Abstract
This research paper explains how cloud infrastructure can be designed to support community-driven data sharing, where multiple organizations with similar goals collaborate while maintaining data security and sovereignty. It discusses the architectural components of cloud systems, including frontend, backend, and infrastructure layers, and analyzes deployment models such as hybrid, private, multi-cloud, and public clouds. The paper highlights key benefits like cost savings, improved security, regulatory compliance, scalability, and innovation. It also addresses challenges such as governance complexity, interoperability issues, internet dependency, and proper resource allocation. Overall, the study concludes that scalable cloud architecture and service models like IaaS, PaaS, and SaaS make community-based data sharing more efficient, secure, and collaborative
Fields of Study & Subjects
Cloud Computing and Resource Management
Cloud Data Security Solutions
Big Data and Digital Economy
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Book