Optimized multi-objective Q-learning with enhanced beetle swarm optimization based scientific workflows scheduling on cloud computing environment.
Nivethithai SHariharan BhagavathiPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- swarm optimization
- multi objective
- scientific workflows
- cloud computing environment
- particle swarm optimization
- cloud computing
- pso algorithm
- particle swarm optimization pso
- swarm intelligence
- load balancing
- optimization algorithm
- virtual machine
- evolutionary algorithm
- scientific data
- round robin
- open architecture
- genetic algorithm
- ant colony optimization
- scheduling problem
- semantic annotation
- multi agent
- scheduling algorithm
- service oriented
- objective function
- data management
- resource allocation
- global optimization
- distributed computing
- load balance
- parallel machines
- hybrid algorithm
- data center
- computing environments
- databases
- web services
- file system
- metaheuristic
- workflow systems
- operating system
- metadata
- computing resources
- distributed systems
- scheduling policies
- fitness function