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Holistic energy and failure aware workload scheduling in Cloud datacenters

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Academic year: 2020

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Figure

Table 1. Symbols and Definitions
Fig. 2. A case study of VM scheduling with different algorithms
Fig. 4. Reliability pattern: (a) number of failures of all 360 servers, (b) distribution of time (hours) between two failures, (c) distribution of time (hours) to repair
Fig. 5. Temperature model: (a) temperature contour in a stable status, (b) profiling recirculation influence Ψ for Points #1-6 under different outlet temperatures, (c) model accuracy when outlet temperature is set to 310K
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