Ismael: Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers.
Johannes ZerwasPatrick KalmbachStefan SchmidAndreas BlenkPublished in: IEEE Trans. Netw. Serv. Manag. (2019)
Keyphrases
- data center
- machine learning
- cloud computing
- energy consumption
- virtual machine
- data placement
- cost effective
- power consumption
- virtual environment
- power management
- high density
- energy efficiency
- clustering algorithm
- multi tenant
- mission critical
- traffic engineering
- computational intelligence
- internet services
- data points
- energy aware
- database
- business processes
- computing resources
- information systems
- databases
- disaster recovery