Gaussian Mixture Models vs. Fuzzy Rule-Based Systems for Adaptive Meta-scheduling in Grid/Cloud Computing.
Rocío Pérez de PradoJan BraunJohannes KrettekFrank HoffmannSebastián García GalánJ. Enrique Muñoz ExpósitoTorsten BertramPublished in: IS-MiS (2012)
Keyphrases
- cloud computing
- gaussian mixture model
- utility computing
- data center
- mixture model
- grid computing
- computing resources
- fuzzy rule based systems
- service providers
- feature vectors
- data management
- distributed computing
- em algorithm
- cloud computing environment
- grid environment
- private cloud
- rule base
- service oriented
- expectation maximization
- cloud computing platform
- data sets
- maximum likelihood
- feature space
- fuzzy logic
- resource allocation
- real time
- computer vision
- grid services
- round robin
- fuzzy modeling
- fuzzy systems
- resource management
- data analysis
- bayesian networks
- database systems
- expert systems
- membership functions
- fuzzy rules
- generative model
- machine learning
- cloud platform
- neural network
- databases
- load balancing