Tuning Genetic Algorithms for Resource Provisioning and Scheduling in Uncertain Cloud Environments: Challenges and Findings.
Maria Carla CalzarossaLuisa MassariGiuseppe NebbioneMarco L. Della VedovaDaniele TesseraPublished in: PDP (2019)
Keyphrases
- genetic algorithm
- real world
- scheduling problem
- lessons learned
- key issues
- case study
- scheduling algorithm
- resource allocation
- cloud computing
- artificial neural networks
- simulated annealing
- multi objective
- decision making
- ethical issues
- dynamic environments
- fitness function
- neural network
- key findings
- round robin
- open issues
- uncertain information
- evolutionary computation
- optimization method
- fuzzy logic
- data center
- incomplete information
- job shop scheduling problem
- tabu search
- metaheuristic
- cloud services
- container terminal
- genetic programming
- computing infrastructure
- rule selection