Reducing energy usage in drive storage clusters through intelligent allocation of incoming commands
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7111136
- Type
- D - Journal article
- DOI
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10.1016/j.asoc.2016.10.005
- Title of journal
- Applied Soft Computing
- Article number
- -
- First page
- 673
- Volume
- 52
- Issue
- -
- ISSN
- 1568-4946
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work resulted from a collaboration with Seagate (UKRI PROJECT REF: 131195) and showed how energy savings on data storage units could be made via the intelligent allocation of incoming read/write commands. This is significant because data centres use large amounts of energy and this method showed how savings of up to 17% energy usage could be made. This approach was used to obtain Innovate funding with SoftIron, a British low energy usage server company ((UKRI PROJECT REF: 102258) and influenced future energy efficiency work (Hu et al, IEEE Access, 8, pp86573-86584, (2020)).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -