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Energy Prediction for Cloud Workload Patterns
[chapter]
2017
Lecture Notes in Computer Science
The excessive use of energy consumption in Cloud infrastructures has become one of the major cost factors for Cloud providers to maintain. In order to enhance the energy efficiency of Cloud resources, proactive and reactive management tools are used. However, these tools need to be supported with energyawareness not only at the physical machine (PM) level but also at virtual machine (VM) level in order to enhance decision-making. This paper introduces an energy-aware profiling model to identify
doi:10.1007/978-3-319-61920-0_12
fatcat:lwbgbpnzx5evhlsxzommq5hszy