A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments
The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five ye...
Ausführliche Beschreibung
Autor*in: |
Xindong You [verfasserIn] Yeli Li [verfasserIn] Meilian Zheng [verfasserIn] Chuan Zhu [verfasserIn] Lifeng Yu [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2017 |
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Übergeordnetes Werk: |
In: IEEE Access - IEEE, 2014, 5(2017), Seite 14066-14078 |
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Übergeordnetes Werk: |
volume:5 ; year:2017 ; pages:14066-14078 |
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DOI / URN: |
10.1109/ACCESS.2017.2718001 |
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DOAJ056328915 |
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10.1109/ACCESS.2017.2718001 doi (DE-627)DOAJ056328915 (DE-599)DOAJaa3d80ebda6b42aeaceae056c9dd2b18 DE-627 ger DE-627 rakwb eng TK1-9971 Xindong You verfasserin aut A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. Energy consumption cloud storage system surveys and taxonomy observations energy efficiency Electrical engineering. Electronics. Nuclear engineering Yeli Li verfasserin aut Meilian Zheng verfasserin aut Chuan Zhu verfasserin aut Lifeng Yu verfasserin aut In IEEE Access IEEE, 2014 5(2017), Seite 14066-14078 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:5 year:2017 pages:14066-14078 https://doi.org/10.1109/ACCESS.2017.2718001 kostenfrei https://doaj.org/article/aa3d80ebda6b42aeaceae056c9dd2b18 kostenfrei https://ieeexplore.ieee.org/document/7959041/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2017 14066-14078 |
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10.1109/ACCESS.2017.2718001 doi (DE-627)DOAJ056328915 (DE-599)DOAJaa3d80ebda6b42aeaceae056c9dd2b18 DE-627 ger DE-627 rakwb eng TK1-9971 Xindong You verfasserin aut A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. Energy consumption cloud storage system surveys and taxonomy observations energy efficiency Electrical engineering. Electronics. Nuclear engineering Yeli Li verfasserin aut Meilian Zheng verfasserin aut Chuan Zhu verfasserin aut Lifeng Yu verfasserin aut In IEEE Access IEEE, 2014 5(2017), Seite 14066-14078 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:5 year:2017 pages:14066-14078 https://doi.org/10.1109/ACCESS.2017.2718001 kostenfrei https://doaj.org/article/aa3d80ebda6b42aeaceae056c9dd2b18 kostenfrei https://ieeexplore.ieee.org/document/7959041/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2017 14066-14078 |
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10.1109/ACCESS.2017.2718001 doi (DE-627)DOAJ056328915 (DE-599)DOAJaa3d80ebda6b42aeaceae056c9dd2b18 DE-627 ger DE-627 rakwb eng TK1-9971 Xindong You verfasserin aut A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. Energy consumption cloud storage system surveys and taxonomy observations energy efficiency Electrical engineering. Electronics. Nuclear engineering Yeli Li verfasserin aut Meilian Zheng verfasserin aut Chuan Zhu verfasserin aut Lifeng Yu verfasserin aut In IEEE Access IEEE, 2014 5(2017), Seite 14066-14078 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:5 year:2017 pages:14066-14078 https://doi.org/10.1109/ACCESS.2017.2718001 kostenfrei https://doaj.org/article/aa3d80ebda6b42aeaceae056c9dd2b18 kostenfrei https://ieeexplore.ieee.org/document/7959041/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2017 14066-14078 |
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10.1109/ACCESS.2017.2718001 doi (DE-627)DOAJ056328915 (DE-599)DOAJaa3d80ebda6b42aeaceae056c9dd2b18 DE-627 ger DE-627 rakwb eng TK1-9971 Xindong You verfasserin aut A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. Energy consumption cloud storage system surveys and taxonomy observations energy efficiency Electrical engineering. Electronics. Nuclear engineering Yeli Li verfasserin aut Meilian Zheng verfasserin aut Chuan Zhu verfasserin aut Lifeng Yu verfasserin aut In IEEE Access IEEE, 2014 5(2017), Seite 14066-14078 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:5 year:2017 pages:14066-14078 https://doi.org/10.1109/ACCESS.2017.2718001 kostenfrei https://doaj.org/article/aa3d80ebda6b42aeaceae056c9dd2b18 kostenfrei https://ieeexplore.ieee.org/document/7959041/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2017 14066-14078 |
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A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments |
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The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. |
abstractGer |
The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. |
abstract_unstemmed |
The problem of energy consumption in the cloud related environments has attracted a great deal of attention in research and industry communities. In the past ten years, a large number of studies have been done on energy efficiency algorithms, methods, strategies, or techniques. Over the past five years, many scholars have conducted surveys on those energy efficiency strategies from different perspectives. In this paper, we conduct a survey and build the taxonomy on current existing energy efficiency relevant surveys, that is, a survey on surveys of energy efficiency. We classify current existing surveys into five categories, including surveys on the energy efficiency of the whole cloud related systems, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. The survey and taxonomy on the energy efficient relevant surveys conducted in this paper provide comprehensive knowledge on the current level of this research filed. Furthermore, observations are exhibited by the statistic data graphs exacted from the investigated surveys. The observations hidden in those surveys on energy efficiency will make it clear the future research directions in the energy related research field. Future research directions are listed in the final section. |
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