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Energy Efficiency Support Through Intra-layer Cloud Stack Adaptation.

, , , , , , , , and . GECON, volume 10382 of Lecture Notes in Computer Science, page 129-143. Springer, (2016)

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Energy-Aware Profiling for Cloud Computing Environments., , , and . UKPEW, volume 318 of Electronic Notes in Theoretical Computer Science, page 91-108. Elsevier, (2014)Energy Efficiency Support Through Intra-layer Cloud Stack Adaptation., , , , , , , , and . GECON, volume 10382 of Lecture Notes in Computer Science, page 129-143. Springer, (2016)Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures., , , , and . IEEE Trans. Sustain. Comput., 5 (1): 81-94 (2020)Towards an interoperable energy efficient Cloud computing architecture - practice & experience., , and . ICC Workshops, page 1807-1812. IEEE, (2015)Rapid and accurate energy models through calibration with IPMI and RAPL., and . Concurr. Comput. Pract. Exp., (2019)Negotiated resource brokering for quality of service provision of grid applications.. University of Leeds, UK, (2013)British Library, EThOS.TANGO: Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation., , , , , , , , , and . CoRR, (2016)PaaS-IaaS Inter-Layer Adaptation in an Energy-Aware Cloud Environment., , , , , , and . IEEE Trans. Sustain. Comput., 2 (2): 127-139 (2017)