An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers.
Abdulrahman NahhasJahnavi Thimmaiah CheyyandaKlaus TurowskiPublished in: HICSS (2021)
Keyphrases
- data center
- energy consumption
- virtual machine
- cloud computing
- energy efficiency
- wireless sensor networks
- energy aware
- energy efficient
- save energy
- power management
- cost effective
- power consumption
- resource utilization
- sensor networks
- carbon dioxide
- energy saving
- multi tenant
- energy conservation
- computing resources
- electrical energy
- base station
- distributed computing
- cloud computing environment
- sensor nodes
- information systems
- multi hop
- resource allocation
- real time
- database