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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Main Authors: Niu, Junpeng, Xu, Jun, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87746
http://hdl.handle.net/10220/45466
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Caching Algorithms
Data Migration
spellingShingle Caching Algorithms
Data Migration
Niu, Junpeng
Xu, Jun
Xie, Lihua
Hybrid storage systems : a survey of architectures and algorithms
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Niu, Junpeng
Xu, Jun
Xie, Lihua
format Article
author Niu, Junpeng
Xu, Jun
Xie, Lihua
author_sort 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
title_fullStr Hybrid storage systems : a survey of architectures and algorithms
title_full_unstemmed Hybrid storage systems : a survey of architectures and algorithms
title_sort hybrid storage systems : a survey of architectures and algorithms
publishDate 2018
url https://hdl.handle.net/10356/87746
http://hdl.handle.net/10220/45466
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