A penalty-based genetic algorithm for the composite SaaS placement problem in the Cloud.
Zeratul Izzah Mohd YusohMaolin TangPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- cloud computing
- genetic algorithm
- cloud services
- private cloud
- penalty function
- computing resources
- multi tenant
- data center
- data management
- fitness function
- service providers
- cost effective
- metaheuristic
- computing infrastructure
- multi objective
- end users
- neural network
- objective function
- software as a service
- genetic operators
- evolutionary algorithm
- fuzzy logic
- multi population
- optimization method
- job shop scheduling problem
- crossover operator
- encoding scheme
- business models
- population size
- map reduce
- penalty term
- maturity model
- tabu search
- genetic programming