A pareto-based GA for scheduling HPC applications on distributed cloud infrastructures.
Yacine KessaciNouredine MelabEl-Ghazali TalbiPublished in: HPCS (2011)
Keyphrases
- computing infrastructure
- cloud computing
- genetic algorithm
- high performance computing
- multi objective
- genetic algorithm ga
- life sciences
- distributed systems
- meeting scheduling
- fault tolerance
- multi objective optimization
- evolutionary algorithm
- scheduling problem
- dynamic scheduling
- job shop scheduling problem
- computing platform
- distributed environment
- multiobjective optimization
- scheduling algorithm
- multiple objectives
- round robin
- map reduce
- open systems
- resource constraints
- computational grids
- fault tolerant
- neural network
- pareto optimal
- job shop
- search algorithm
- genetic operators
- simulated annealing
- distributed computing
- response time
- fitness function
- metaheuristic