2016
DOI: 10.1007/978-3-319-44406-2_25
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Dynamic Power-Aware Disk Storage Management in Database Servers

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Cited by 8 publications
(4 citation statements)
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“…This paper significantly extends our previous work [23]. In summary, this paper makes the following contributions:…”
Section: Contributions and Roadmapsupporting
confidence: 76%
See 1 more Smart Citation
“…This paper significantly extends our previous work [23]. In summary, this paper makes the following contributions:…”
Section: Contributions and Roadmapsupporting
confidence: 76%
“…In our previous work [23], an integrated DPM optimization model extended with MPC strategy is introduced that dynamically determines state (power mode) adjustments and plans for inter-disk fragment migration to achieve optimal tradeoff between power consumption and the query response time.…”
Section: Related Workmentioning
confidence: 99%
“…The model of disk idle time under the parallel video-sharing workloads is presented by Yuan et al [31]. The optimization problems to minimize the power consumption of a disk-based storage system [32] [33] and hard disk with SSD storage system [35] were formulated using disk power state models. PREFig-uRE [34] is presented as an analytic framework that uses the histogram of disk idle times to determine schedules for power saving modes.…”
Section: Related Workmentioning
confidence: 99%
“…In conventional data centers, data reduction and availability are achieved by implementing reduction array of independent disks technology. Other techniques driven by redundant disk shutdown approach are sample‐replicate‐consolidate mapping proposed by Verma et al, disk spin downs technique, and more recently, Behzadnia et al proposed dynamic power‐aware disk storage management in database servers, whereas intelligent allocation of incoming commands for energy reduction in drive storage clusters was proposed by Smart et al…”
Section: Energy‐efficient 5g Architecturementioning
confidence: 99%