E-HASH: An Energy-Efficient Hybrid Storage System Composed of One SSD and Multiple HDDs

Jiang, Hui; Ge, Xiongzi; Huang, Xiaoxia; Liu, Yi; Ran, Qiangjun

doi:10.1007/978-3-642-31020-1_63

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…A new method for energy proportionality called E-HASH was proposed recently [11] . E-HASH divides all the disks into a hot disk set and a cold disk set and periodically puts the files with high access frequency onto the hot disk set periodically.…”

Section: Related Workmentioning

confidence: 99%

“…Another method is to redistribute files among disks [11][12] . Pinheiro and Bianchini proposed the PDC (Popular Data Concentration) technique for energy conservation [12] .…”

Section: Related Workmentioning

confidence: 99%

“…We compare the proposed approach with three competitors, i.e., DPM [14] , PDC [12] , and E-HASH [11] . The E-HASH method uses a fixed set of disks as the hot disks.…”

Section: Experimental Settingsmentioning

confidence: 99%

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HAG: An Energy-Proportional Data Storage Scheme for Disk Array Systems

Jin

Xie

Jensen

et al. 2015

J. Comput. Sci. Technol.

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Energy consumption has been a critical issue for data storage systems, especially for modern data centers. A recent survey has showed that power costs amount to about 50% of the total cost of ownership in a typical data center, with about 27% of the system power being consumed by storage systems. This paper aims at providing an effective solution to reducing the energy consumed by disk storage systems, by proposing a new approach to reduce the energy consumption. Differing from previous approaches, we adopt two new designs. 1) We introduce a hotness-aware and group-based system model (HAG) to organize the disks, in which all disks are partitioned into a hot group and a cold group. We only make file migration between the two groups and avoid the migration within a single group, so that we are able to reduce the total cost of file migration. 2) We use an on-demand approach to reorganize files among the disks that is based on workload change as well as the change of data hotness. We conduct trace-driven experiments involving two real and nine synthetic traces and we make detailed comparisons between our method and competitor methods according to different metrics. The results show that our method can dynamically select hot files and disks when the workload changes and that it is able to reduce energy consumption for all the traces. Furthermore, its time performance is comparable to that of the compared algorithms. In general, our method exhibits the best energy efficiency in all experiments, and it is capable of maintaining an improved trade-off between performance and energy consumption.

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Section: Related Workmentioning

confidence: 99%

“…Another method is to redistribute files among disks [11][12] . Pinheiro and Bianchini proposed the PDC (Popular Data Concentration) technique for energy conservation [12] .…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

HAG: An Energy-Proportional Data Storage Scheme for Disk Array Systems

Jin

Xie

Jensen

et al. 2015

J. Comput. Sci. Technol.

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“…Hui et al [9] examine heterogeneous storage systems from the perspective of power consumption. This study argues that such heterogeneous storage systems can use less energy than a similar HDD-only storage system.…”

Section: Related Workmentioning

confidence: 99%

Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks

Chen

Liu

Roth

et al. 2014

2014 43rd International Conference on Parallel Processing Workshops

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Scientific applications from many problem domains produce and/or access large volumes of data. To support these applications, designers of high-end computing (HEC) systems have greatly increased the capacity of storage systems in recent years. However, because hard disk drives (HDDs) are still the dominant storage device used in HEC storage systems, and because HDD performance has not improved as quickly as the capacity, it can be challenging to deploy a storage system that provides both extreme capacity and extreme performance at a reasonable cost. Solid State Drives (SSDs) are a promising highbandwidth and low-latency alternative to HDDs for HEC storage systems, but they too have deficiencies: small capacity, limited write cycles, and high cost when compared to HDDs. Because of their complementary characteristics, storage system designers are beginning to consider heterogeneous storage system designs that include both HDDs and SSDs. However, managing the workload so as to take advantage of the strengths of each type of storage device while controlling overhead is a major challenge. In this study, we propose a novel approach for managing a heterogeneous storage system called the Working Set-based Reorganization Scheme (WS-ROS). With WS-ROS, applications write to both HDDs and SSDs using all the available storage system bandwidth. Later, a background process reorganizes the data so as to place the data most likely to be read on SSDs while relegating the data most likely to be written and the data not likely to be accessed onto the slower but higher-capacity HDDs. For our evaluation workloads, the WS-ROS approach provided a 3× to 10× performance improvement compared to a heterogeneous storage system without a working set-based data reorganization scheme, suggesting the value of lazy reorganization of data based on data access working sets.

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“…The proposed system consolidates existing works, e.g. Hint-K [113], Demote [114], and Promote [115], together to enhance the [79,81,82,85,88,93,94] and device controlled tiered structure [78,83,84,86,87,89]. In the host controlled tiered structure, the data movement is controlled by the system host by using the host side information.…”

Section: Ssd As a Write-back Cachementioning

confidence: 69%

Hybrid system analysis and design for scale-out storage environments

Niu¹

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First of all, I would like to express my great appreciation to my supervisor, Prof. Lihua Xie, for his continuous guidance, encouragement and support throughout my research efforts towards this dissertation. Without his inspiration, deep insight, and invaluable advice, this thesis would not have been possible. I have benefited tremendously from his extensive knowledge, professional experience, and strong commitment towards the excellence of research.

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E-HASH: An Energy-Efficient Hybrid Storage System Composed of One SSD and Multiple HDDs

Cited by 11 publications

References 15 publications

HAG: An Energy-Proportional Data Storage Scheme for Disk Array Systems

HAG: An Energy-Proportional Data Storage Scheme for Disk Array Systems

Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks

Hybrid system analysis and design for scale-out storage environments

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