Hybrid storage systems : a survey of architectures and algorithms
Data center storage architectures face rapidly increasing demands for data volume and quality of service requirements today. Hybrid storage systems have turned out to be the one of the most popular choices in fulfilling these demands. A mixture of various types of storage devices and structures enab...
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sg-ntu-dr.10356-877462020-03-07T14:02:35Z Hybrid storage systems : a survey of architectures and algorithms Niu, Junpeng Xu, Jun Xie, Lihua School of Electrical and Electronic Engineering Caching Algorithms Data Migration Data center storage architectures face rapidly increasing demands for data volume and quality of service requirements today. Hybrid storage systems have turned out to be the one of the most popular choices in fulfilling these demands. A mixture of various types of storage devices and structures enables architects to address performance and capacity concerns of users within one storage infrastructure. In this paper, we present an extensive literature review on the state-of-the-art research for hybrid storage systems. First, different types of hybrid storage architectures are explored and categorized thoroughly. Second, the corresponding algorithms and policies, such as caching, scheduling, resource allocation and so on, are discussed profoundly. Finally, the advantages and disadvantages of these hybrid storage architectures are compared and analyzed intensively, in terms of system performance, solid state drive lifespan, energy consumption, and so on, in order to motivate some future research directions. Published version 2018-08-06T04:31:23Z 2019-12-06T16:48:33Z 2018-08-06T04:31:23Z 2019-12-06T16:48:33Z 2018 Journal Article Niu, J., Xu, J., & Xie, L. (2018). Hybrid storage systems : a survey of architectures and algorithms. IEEE Access, 6, 13385-13406. https://hdl.handle.net/10356/87746 http://hdl.handle.net/10220/45466 10.1109/ACCESS.2018.2803302 en IEEE Access © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 22 p. application/pdf |
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Caching Algorithms Data Migration Niu, Junpeng Xu, Jun Xie, Lihua Hybrid storage systems : a survey of architectures and algorithms |
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Data center storage architectures face rapidly increasing demands for data volume and quality of service requirements today. Hybrid storage systems have turned out to be the one of the most popular choices in fulfilling these demands. A mixture of various types of storage devices and structures enables architects to address performance and capacity concerns of users within one storage infrastructure. In this paper, we present an extensive literature review on the state-of-the-art research for hybrid storage systems. First, different types of hybrid storage architectures are explored and categorized thoroughly. Second, the corresponding algorithms and policies, such as caching, scheduling, resource allocation and so on, are discussed profoundly. Finally, the advantages and disadvantages of these hybrid storage architectures are compared and analyzed intensively, in terms of system performance, solid state drive lifespan, energy consumption, and so on, in order to motivate some future research directions. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Niu, Junpeng Xu, Jun Xie, Lihua |
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Article |
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Niu, Junpeng Xu, Jun Xie, Lihua |
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Niu, Junpeng |
title |
Hybrid storage systems : a survey of architectures and algorithms |
title_short |
Hybrid storage systems : a survey of architectures and algorithms |
title_full |
Hybrid storage systems : a survey of architectures and algorithms |
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Hybrid storage systems : a survey of architectures and algorithms |
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Hybrid storage systems : a survey of architectures and algorithms |
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hybrid storage systems : a survey of architectures and algorithms |
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2018 |
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https://hdl.handle.net/10356/87746 http://hdl.handle.net/10220/45466 |
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