Anomaly detection for electricity consumption in cloud computing: framework, methods, applications, and challenges
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1687-1499
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
Anomaly detection for electricity consumption in cloud computing: framework, methods, applications, and challenges ; volume:2020 ; number:1 ; day:7 ; month:10 ; year:2020 ; pages:1-12 ; date:12.2020
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2020, Heft 1 (7.10.2020), 1-12, 12.2020
- Creator
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Feng, Longji
Xu, Shu
Zhang, Linghao
Wu, Jing
Zhang, Jidong
Chu, Chengbo
Wang, Zhenyu
Shi, Haoyang
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13638-020-01807-0
- URN
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urn:nbn:de:101:1-2020112221295282179702
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 AM CEST
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Associated
- Feng, Longji
- Xu, Shu
- Zhang, Linghao
- Wu, Jing
- Zhang, Jidong
- Chu, Chengbo
- Wang, Zhenyu
- Shi, Haoyang
- SpringerLink (Online service)
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