Scheduling in volunteer computing networks, based on neural network prediction of the job execution time.
S. S. ParkhomenkoTatiana M. LedenevaPublished in: Int. J. Parallel Emergent Distributed Syst. (2019)
Keyphrases
- neural network
- prediction model
- neural network ensemble
- job scheduling
- back propagation
- resource consumption
- prediction accuracy
- scheduling decisions
- network model
- scheduling problem
- maximum lateness
- batch processing
- job shop
- social networks
- computational grids
- processing times
- release times
- recurrent networks
- recurrent neural networks
- single machine
- artificial neural networks
- polynomial neural networks
- identical parallel machines
- multilayer perceptron
- scheduling jobs
- release dates
- elman network
- chaotic time series
- prediction error
- neural network is trained
- neural network model
- resource allocation
- short term prediction
- batch processing machines
- identical machines
- deteriorating jobs
- concurrent execution
- single machine scheduling problem
- parallel machines
- resource constraints
- fuzzy neural network
- neural nets
- flowshop
- bp neural network
- flexible manufacturing systems
- completion times
- production scheduling
- feed forward
- complex networks
- network structure
- self organizing maps
- regression model
- fuzzy logic