Energy-saving scheduling on IaaS HPC cloud environments based on a multi-objective genetic algorithm.
Sergi VilaFernando GuiradoJosep L. LéridaFernando CoresPublished in: J. Supercomput. (2019)
Keyphrases
- energy saving
- cloud computing
- data center
- energy efficiency
- energy consumption
- high performance computing
- power consumption
- computing infrastructure
- power saving
- computing resources
- energy management
- wireless sensor networks
- energy conservation
- save energy
- energy efficient
- scheduling problem
- global warming
- virtual machine
- multi objective
- cost effective
- distributed computing
- electricity consumption
- data management
- sensor networks
- remote monitoring
- job shop scheduling problem
- scheduling algorithm
- air conditioning
- service providers
- multi objective optimization
- routing algorithm
- database
- routing protocol
- shortest path
- query processing
- artificial intelligence
- data sets