On Achieving Energy Efficiency and Reducing CO2 Footprint in Cloud Computing

With the increasing popularity of the cloud computing model and rapid proliferation of cloud infrastructures there are increasing concerns about energy consumption and consequent impact of cloud computing as a contributor to global CO 2 emissions. To date, little is known about how to incorporate en...

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Veröffentlicht in:IEEE transactions on cloud computing Jg. 4; H. 2; S. 138 - 151
Hauptverfasser: Wajid, Usman, Cappiello, Cinzia, Plebani, Pierluigi, Pernici, Barbara, Mehandjiev, Nikolay, Vitali, Monica, Gienger, Michael, Kavoussanakis, Kostas, Margery, David, Garcia Perez, David, Sampaio, Pedro
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE Computer Society 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE
Schlagworte:
Case studies
Cloud computing
Computational modeling
Computer Science
Distributed, Parallel, and Cluster Computing
Energy consumption
Energy efficiency
Energy-aware systems
Evaluation
Green products
Measurement
Monitoring
Scheduling and task partitioning
evaluation
scheduling and task partitioning
Energy-aware systems
Measurement
Energy consumption
Cloud computing
Computational modeling
Green products
Energy efficiency
Monitoring
ISSN:2168-7161, 2372-0018
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Zusammenfassung:With the increasing popularity of the cloud computing model and rapid proliferation of cloud infrastructures there are increasing concerns about energy consumption and consequent impact of cloud computing as a contributor to global CO 2 emissions. To date, little is known about how to incorporate energy consumption and CO 2 concerns into cloud application development and deployment decision models. In this respect, this paper describes an eco-aware approach that relies on the definition, monitoring and utilization of energy and CO 2 metrics combined with the use of innovative application scheduling and runtime adaptation techniques to optimize energy consumption and CO 2 footprint of cloud applications as well as the underlying infrastructure. The eco-aware approach involves measuring or quantifying the energy consumption and CO 2 at different levels of cloud computing, using that information to create scheduling and adaptation techniques that contribute towards reducing the energy consumption and CO 2 emissions, and finally testing and validating the developed solutions in a multi-site cloud environment with the help of challenging case study applications. The experimental and validation results show the potential of the eco-aware approach to significantly reduce the CO 2 footprint and consequent environmental impact of cloud applications.
Bibliographie:ObjectType-Article-1
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ISSN:2168-7161
2372-0018
DOI:10.1109/TCC.2015.2453988