Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention.
Fermin-Alberto Armenta-CanoAndrei TchernykhJorge M. Cortés-MendozaRamin YahyapourAlexander Yu. DrozdovPascal BouvryDzmitry KliazovichArutyun AvetisyanSergio NesmachnowPublished in: Program. Comput. Softw. (2017)
Keyphrases
- energy aware
- scheduling policies
- grid environment
- scheduling algorithm
- computational grids
- scheduling decisions
- high performance computing
- resource allocation
- routing protocol
- resource constraints
- parallel machines
- wireless sensor networks
- identical parallel machines
- grid computing
- energy consumption
- load balancing
- response time
- processing times
- resource consumption
- data center
- sensor networks
- scheduling problem
- energy efficiency
- identical machines
- wafer fabrication
- smart home
- routing algorithm
- artificial intelligence
- resource management
- single machine
- quality of service
- peer to peer
- parallel computing
- flowshop
- computing environments
- power consumption