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Issue No. 03 - July-Sept. (2017 vol. 2)
ISSN: 2377-3782
pp: 255-274
Zheng Li , Department of Electrical and Information Technology, Lund University, Lund, Sweden
Selome Tesfatsion , Department of Computing Science, Umeå University, Umeå, Sweden
Saeed Bastani , Department of Electrical and Information Technology, Lund University, Lund, Sweden
Ahmed Ali-Eldin , Department of Computing Science, Umeå University, Umeå, Sweden
Erik Elmroth , Department of Computing Science, Umeå University, Umeå, Sweden
Maria Kihl , Department of Electrical and Information Technology, Lund University, Lund, Sweden
Rajiv Ranjan , School of Computer Science, Newcastle University, Newcastle Upon Tyne, United Kingdom
ABSTRACT
Given the complexity and heterogeneity in Cloud computing scenarios, the modeling approach has widely been employed to investigate and analyze the energy consumption of Cloud applications, by abstracting real-world objects and processes that are difficult to observe or understand directly. It is clear that the abstraction sacrifices, and usually does not need, the complete reflection of the reality to be modeled. Consequently, current energy consumption models vary in terms of purposes, assumptions, application characteristics and environmental conditions, with possible overlaps between different research works. Therefore, it would be necessary and valuable to reveal the state-of-the-art of the existing modeling efforts, so as to weave different models together to facilitate comprehending and further investigating application energy consumption in the Cloud domain. By systematically selecting, assessing, and synthesizing 76 relevant studies, we rationalized and organized over 30 energy consumption models with unified notations. To help investigate the existing models and facilitate future modeling work, we deconstructed the runtime execution and deployment environment of Cloud applications, and identified 18 environmental factors and 12 workload factors that would be influential on the energy consumption. In particular, there are complicated trade-offs and even debates when dealing with the combinational impacts of multiple factors.
INDEX TERMS
Cloud computing, Energy consumption, Computational modeling, Mathematical model, Computer architecture, Analytical models, Environmental factors
CITATION

Z. Li et al., "A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-Off Debates," in IEEE Transactions on Sustainable Computing, vol. 2, no. 3, pp. 255-274, 2017.
doi:10.1109/TSUSC.2017.2722822
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