A combined fuzzy-neural network model for non-linear prediction of 3-D rendering workload in Grid computing.
Nikolaos D. DoulamisAnastasios D. DoulamisAthanasios PanagakisKonstantinos DolkasTheodora A. VarvarigouEmmanouel A. VarvarigosPublished in: IEEE Trans. Syst. Man Cybern. Part B (2004)
Keyphrases
- neural network model
- grid computing
- distributed computing
- neural network
- resource management
- artificial neural networks
- load balancing
- peer to peer
- computing resources
- resource sharing
- computing environments
- fuzzy sets
- computational grids
- service oriented computing
- scheduling strategy
- grid environment
- data grids
- computing paradigm
- grid services
- data intensive
- bp neural network
- prediction model
- fuzzy logic
- response time
- transparent access
- grid enabled
- grid systems
- fuzzy rules
- real time
- genetic algorithm
- grid technology
- grid infrastructure
- mobile agents
- high performance computing
- synaptic weights
- grid middleware
- artificial intelligence
- multimedia
- multi agent systems
- data analysis
- expert systems
- sensor networks
- resource allocation