Multi-objective parallel extremal optimization in processor load balancing for distributed programs.
Ivanoe De FalcoEryk LaskowskiRichard OlejnikUmberto ScafuriErnesto TarantinoMarek TudrujPublished in: GECCO (Companion) (2017)
Keyphrases
- load balancing
- multi objective
- inter processor communication
- load balance
- extremal optimization
- load balancing strategies
- parallel query processing
- parallel database systems
- distributed systems
- dynamic load balancing
- load balancing strategy
- peer to peer
- fault tolerant
- evolutionary algorithm
- parallel algorithm
- fault tolerance
- peer to peer systems
- parallel processing
- mobile agents
- multi objective optimization
- optimization algorithm
- grid computing
- simulated annealing
- load distribution
- round robin
- evolutionary search
- particle swarm optimization
- low overhead
- data partitioning
- distributed environment
- resource utilization
- genetic algorithm
- data skew
- distributed memory
- objective function
- computer architecture
- nsga ii
- computational grids
- communication cost
- data distribution
- multi agent
- database systems