Task scheduling in cloud computing using particle swarm optimization with time varying inertia weight strategies.
Xingwang HuangChaopeng LiHefeng ChenDong AnPublished in: Clust. Comput. (2020)
Keyphrases
- cloud computing
- cloud computing environment
- inertia weight
- distributed computing
- particle swarm optimization
- computing resources
- particle swarm optimization algorithm
- big data
- data center
- data management
- convergence speed
- pso algorithm
- particle swarm optimization pso
- computing technologies
- service providers
- cloud computing platform
- load balancing
- business models
- inertia weight particle swarm optimization
- global search
- cloud storage
- grid computing
- evolution strategy
- computing platform
- scheduling algorithm
- databases
- global optimization
- neural network
- genetic algorithm ga
- operating system
- distributed systems
- service level agreements
- open architecture
- simulated annealing
- artificial neural networks
- objective function