Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm.
Xueliang FuYang SunHaifang WangHonghui LiPublished in: Clust. Comput. (2023)
Keyphrases
- cloud computing
- particle swarm algorithm
- cloud computing environment
- job shop scheduling problem
- genetic algorithm
- hybrid algorithm
- particle swarm
- distributed computing
- computing resources
- data center
- service providers
- optimization scheme
- particle swarm optimisation
- simulated annealing algorithm
- data management
- simulated annealing
- tabu search
- virtual machine
- scheduling problem
- particle swarm optimization
- optimization method
- cloud computing platform
- fitness function
- multi objective
- evolutionary algorithm
- ant colony optimization
- grid computing
- load balancing
- open architecture
- benchmark problems
- optimization methods
- cloud platform
- private cloud
- computing infrastructure
- evolution strategy
- neural network
- memetic algorithm
- differential evolution
- artificial neural networks
- optimal solution
- combinatorial optimization problems
- computing environments
- premature convergence
- scheduling algorithm
- evolutionary computation
- cloud services
- genetic programming
- np hard
- cloud storage
- database systems
- search engine
- database