International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Secure and Scalable Cloud Storage with Raspberry Pi Clusters for Real-Time Security Applications

Redhwan Said al RashdiCollege of Computing and Information Sciences, University of Technology and Applied Sciences – Ibra, Sultanate of OmanRashid Sabeeh Al-MaskariCollege of Computing and Information Sciences, University of Technology and Applied Sciences – Ibra, Sultanate of OmanBasim Khamis Al-AlawiCollege of Computing and Information Sciences, University of Technology and Applied Sciences – Ibra, Sultanate of OmanDr. Ramesh PalanisamyCollege of Computing and Information Sciences, University of Technology and Applied Sciences – Ibra, Sultanate of Oman

Vol 9 No 5 (2025): Volume 9, Issue 5, May 2025 | Pages: 284-292

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-05-2025

doi Logo doi.org/10.47001/IRJIET/2025.905038

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Abstract

The increasing need for secure, scalable, and cost-efficient data storage solutions has driven interest in decentralized platforms and edge computing architectures. In response to these emerging demands, this project introduces a Raspberry Pi-based cluster designed as a flexible, low-cost, and secure alternative to traditional cloud infrastructures. The cluster is composed of multiple interconnected nodes that collaboratively ensure high availability, fault tolerance, and data redundancy. By integrating robust encryption protocols, the system protects data at rest and in transit, enhancing the overall security posture.

The decentralized nature of this architecture eliminates the vulnerabilities typically associated with centralized data centers, reducing the risks of single points of failure and large-scale data breaches. Additionally, using energy-efficient Raspberry Pi devices contributes to a more sustainable and environmentally friendly computing model. The platform is further optimized for real-time security applications such as surveillance and intrusion detection by leveraging edge computing capabilities and artificial intelligence algorithms, which enable rapid, localized decision-making without reliance on external servers.

This project demonstrates the viability of a scalable and resilient distributed storage system suitable for various modern use cases, including smart home automation, enterprise networks, and broader Internet of Things (IoT) deployments. The proposed solution reduces operational costs and paves the way for developing next-generation intelligent and decentralized computing environments.

Keywords

Decentralised Storage, Edge Computing, Raspberry Pi Cluster, Data Security, Fault Tolerance, Real-Time Applications, Encryption


Citation of this Article

Redhwan Said al Rashdi, Rashid Sabeeh Al-Maskari, Basim Khamis Al-Alawi, & Dr. Ramesh Palanisamy. (2025). Secure and Scalable Cloud Storage with Raspberry Pi Clusters for Real-Time Security Applications. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(5), 284-292. Article DOI https://doi.org/10.47001/IRJIET/2025.905038

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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