Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning.
K. Jairam NaikMounish PedagandamAmrita MishraPublished in: Int. J. Comput. Sci. Eng. (2021)
Keyphrases
- distributed environment
- using artificial neural networks
- reinforcement learning
- grid workflow
- distributed databases
- distributed computing
- distributed systems
- intelligent agents
- artificial neural networks
- scheduling algorithm
- neural network model
- peer to peer networks
- function approximation
- scheduling problem
- distributed data mining
- highly distributed
- multi agent
- peer to peer
- petri net
- state space
- web services
- workflow management systems
- machine learning
- finite element analysis
- distributed data sources
- fluidized bed
- information resources
- business process
- cooperative
- learning algorithm
- genetic algorithm
- distributed computing environment
- e learning