A NSGA-II-based approach for service resource allocation in Cloud.
Boxiong TanHui MaYi MeiPublished in: CEC (2017)
Keyphrases
- resource allocation
- nsga ii
- multi objective
- multi objective optimization
- test problems
- evolutionary algorithm
- multiobjective optimization
- pareto optimal
- service level agreements
- evolutionary multiobjective
- multiobjective evolutionary algorithm
- optimization algorithm
- optimization problems
- resource management
- grid environment
- multi objective differential evolution
- resource allocation problems
- allocate resources
- evolutionary multiobjective optimization
- resource usage
- multi objective evolutionary algorithms
- optimal solution
- differential evolution
- optimal resource allocation
- fitness function
- grid computing environment
- allocation problems
- constrained multi objective optimization problems
- bi objective
- game theory
- genetic algorithm
- grid resource
- cloud services
- cloud computing environment
- cloud computing
- knapsack problem
- resource allocation and scheduling
- multiple objectives
- scarce resources
- combinatorial auctions
- resource allocation decisions
- particle swarm optimization
- distributed resource allocation
- packet scheduling
- cooperative
- pareto optimal solutions
- service providers
- load balancing
- data center
- branch and bound algorithm