Cloud Infrastructure for Community-Driven Data Sharing

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Authors: Gayatri Badabhura
Cited by: 0

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