Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)

Hybrid-RAID: Tri-dimensional Optimization Framework for SSD-HDD Heterogeneous Storage Systems

Authors
Yixiao Wang1, *
1Shanghai Experimental Foreign Language School, Shanghai, 200093, China
*Corresponding author. Email: Sean_WangYX@hotmail.com
Corresponding Author
Yixiao Wang
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_25How to use a DOI?
Keywords
RAID; SSD; HDD; Storage system
Abstract

The exponential growth of data-intensive applications has exacerbated the limitations of homogeneous storage systems, necessitating hybrid architectures that synergistically integrate Solid State Drives (SSDs) and Hard Disk Drives (HDDs). However, existing solutions often prioritize optimization along a single dimension, neglecting the intricate trade-offs between performance, reliability, and cost. To address this challenge, this paper proposes Hybrid-Redundant Array of Independent Disks (RAID), a novel tri-dimensional optimization framework specifically designed for heterogeneous SSD-HDD storage systems. Our framework synthesizes five canonical and modern RAID architectures (including RAID-x and HPDA, High-Performance Data Analytics) into a unified, workload-aware decision engine. It intelligently selects the optimal configuration by evaluating each workload’s characteristics against a novel Performance-Reliability-Cost cube model. Extensive evaluations using the Storage simulator and diverse case studies demonstrate that Hybrid-RAID achieves significant improvements over traditional single-tier RAID. Specifically, it reduces the 95th-percentile latency by 22%, doubles the mean-time-to-data-loss (MTTDL), and lowers the five-year total cost of ownership (TCO) by 18%. Hybrid-RAID thus provides a robust, adaptive, and cost-effective blueprint for building efficient storage systems in the era of big data.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
Series
Advances in Engineering Research
Publication Date
18 February 2026
ISBN
978-94-6463-986-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-986-5_25How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yixiao Wang
PY  - 2026
DA  - 2026/02/18
TI  - Hybrid-RAID: Tri-dimensional Optimization Framework for SSD-HDD Heterogeneous Storage Systems
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 230
EP  - 237
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_25
DO  - 10.2991/978-94-6463-986-5_25
ID  - Wang2026
ER  -