Scheduling Resource of IaaS Clouds for Energy Saving Based on Predicting the Overloading Status of Physical Machines.
Qingxin XiaYuqing LanLimin XiaoPublished in: ICA3PP (Workshops and Symposiums) (2015)
Keyphrases
- energy saving
- cloud computing
- energy consumption
- resource allocation
- resource constraints
- wireless sensor networks
- data center
- power consumption
- parallel machines
- identical machines
- scheduling problem
- energy efficiency
- power saving
- scheduling algorithm
- manufacturing cell
- energy management
- save energy
- power management
- resource consumption
- energy efficient
- grid environment
- energy conservation
- identical parallel machines
- wafer fabrication
- global warming
- flowshop
- resource management
- electricity consumption
- service providers
- processing times
- air conditioning
- data management
- carbon dioxide
- artificial intelligence
- routing protocol
- context aware
- mobile phone
- data transmission