Designing a Secure, Scalable, and Cost-Effective Cloud Storage Solution: A Novel Approach to Data Management using NextCloud, TrueNAS, and QEMU/KVM
Prakash Aryan, Sujala Deepak Shetty
TL;DR
This paper proposes an open-source, integrated cloud storage stack combining NextCloud, TrueNAS, and QEMU/KVM to address security, scalability, and cost challenges of cloud storage. Hosted on Kubuntu with a ZFS-backed storage backend exposed via NFS, the architecture delivers high sequential throughput (up to ~1.22 GB/s reads) and strong IOPS with minimal encryption overhead, while supporting flexible deployment options and robust isolation. A comprehensive evaluation demonstrates favorable performance, solid security with limited vulnerabilities, scalable expansion, and a total cost of ownership advantage over proprietary cloud solutions, including a break-even point around 2.75 TB of storage or 0.5 TB/month data transfer over three years. The work highlights practical implications for data sovereignty, regulatory compliance, and on-premises data control, and sketches future directions in automated scaling, caching, and integration with emerging technologies like containers and edge computing.
Abstract
This paper presents a novel approach to cloud storage challenges by integrating NextCloud, TrueNAS, and QEMU/KVM. Our research demonstrates how this combination creates a robust, flexible, and economical cloud storage system suitable for various applications. We detail the architecture, highlighting TrueNAS's ZFS-based storage, QEMU/KVM's virtualization, and NextCloud's user interface. Extensive testing showssuperior data integrity and protection compared to traditional solutions. Performance benchmarks reveal high read/write speeds(up to 1.22 GB/s for sequential reads and 620 MB/s for writes) and also efficient small file handling. We demonstrate the solution's scalability under increasing workloads. Security analysis showcases effective jail isolation techniques in TrueNAS. Cost analysis indicates potential 50% reduction in total ownership cost over five years compared to commercial alternatives. This research contributes a practical, high-performance, cost-effective alternative to proprietary solutions, paving new ways for organizations to implement secure, scalable cloud storage while maintaining data control. Future work will focus on improving automated scaling and integration with emerging technologies like containerization and serverless computing.
