The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Cloud Computing: Survey on Energy Efficiency
Abstract
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.
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A Survey on Edge Computing Systems and Tools
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Algorithms that remember: model inversion attacks and data protection law
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Metadata
- Authors
- Mastelic, T., Oleksiak, A., Claussen, H., Brandic, I., Pierson, J.-M., & Vasilakos, A. V.
- Venue
- ACM Computing Surveys
- Published
- 2014-12-19
- Volume
- 47
- Issue
- 2
- Pages
- 1-36
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2052952840
- Cited by
- 276
- References
- 91
- FWCI
- 77.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mastelic, T., Oleksiak, A., Claussen, H., Brandic, I., Pierson, J.-M., & Vasilakos, A. V. (2015). Cloud Computing: Survey on Energy Efficiency. ACM Computing Surveys. https://doi.org/10.1145/2656204
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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