A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints.
Yikun HuJinghong LiLigang HePublished in: Neural Comput. Appl. (2020)
Keyphrases
- distributed systems
- energy consumption
- wireless sensor networks
- energy efficiency
- loosely coupled
- sensor networks
- energy saving
- energy efficient
- resource limitations
- fault tolerant
- energy conservation
- data transmission
- data center
- fault tolerance
- load balancing
- energy aware
- save energy
- distributed computing
- distributed database systems
- routing protocol
- base station
- message passing
- sensor nodes
- distributed environment
- residual energy
- power management
- mobile agents
- data aggregation
- data replication
- total energy
- environmental impact
- multi hop
- scheduling algorithm
- power consumption
- data warehouse
- management system