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- Toni Mastelic
- Vienna University of Technology, Vienna, Austria
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- Ariel Oleksiak
- Poznan Supercomputing and Networking Center and Poznan University of Technology, Poznan, Poland
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- Holger Claussen
- Bell Labs, Alcatel-Lucent, Dublin, Ireland
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- Ivona Brandic
- Vienna University of Technology, Vienna, Austria
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- Jean-Marc Pierson
- University of Toulouse, France
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- Athanasios V. Vasilakos
- University of Western Macedonia, Greece
書誌事項
- タイトル別名
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- Survey on Energy Efficiency
説明
<jats:p>Cloud computing is today’s most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.</jats:p>
収録刊行物
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- ACM Computing Surveys
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ACM Computing Surveys 47 (2), 1-36, 2014-12-19
Association for Computing Machinery (ACM)
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詳細情報 詳細情報について
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- CRID
- 1360857596061876992
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- DOI
- 10.1145/2656204
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- ISSN
- 15577341
- 03600300
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- データソース種別
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- Crossref