Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge.
John ViolosEvangelos PsomakelisDimitrios DanopoulosStylianos TsanakasTheodora A. VarvarigouPublished in: GECON (2020)
Keyphrases
- learning models
- resource utilization
- neural network
- resource management
- learning algorithm
- loss function
- recurrent neural networks
- semi supervised learning
- learning tasks
- machine learning algorithms
- quality of service
- machine learning
- response time
- load balancing
- network resources
- video streaming
- grid computing
- classification models
- training set
- learning problems
- conditional random fields
- shortest path
- probabilistic model
- real time