Algorithms for dynamic capacity provisioning Article Swipe
Lachlan L. H. Andrew
,
Minghong Lin
,
Adam Wierman
,
Zhenhua Liu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.25916/sut.26283205
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.25916/sut.26283205
Data centre power consumption can be reduced by switching off servers during low load. However, excess switching is wasteful. This paper reviews online algorithms for optimizing this tradeoff, including the benefits of shifting load between geographically distant data centres. These algorithms can also adjust a link's number of parallel lightpaths.
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- Language
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- OA Status
- green
- Cited By
- 4
- References
- 6
- Related Works
- 20
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W1960888338Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.25916/sut.26283205Digital Object Identifier
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Algorithms for dynamic capacity provisioningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Lachlan L. H. Andrew, Minghong Lin, Adam Wierman, Zhenhua LiuList of authors in order
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https://hdl.handle.net/1959.3/235742Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- Concepts
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Provisioning, Server, Computer science, Data center, Power consumption, Load balancing (electrical power), Distributed computing, Computer network, Power (physics), Algorithm, Mathematics, Physics, Quantum mechanics, Geometry, GridTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2020: 1, 2018: 1Per-year citation counts (last 5 years)
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6Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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