SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster.
Mukoe CheongHyunsung LeeIkjun YeomHonguk WooPublished in: IEEE Access (2019)
Keyphrases
- reinforcement learning
- resource allocation
- grid environment
- resource constraints
- function approximation
- learning algorithm
- clustering algorithm
- resource consumption
- data clustering
- resource requirements
- machine learning
- scarce resources
- grid computing
- scheduling algorithm
- state space
- markov decision processes
- scheduling problem
- cluster analysis
- resource management
- hierarchical clustering
- optimal policy
- temporal difference
- real time database systems
- real world
- policy search
- information systems
- computational grids
- flexible manufacturing systems
- function approximators
- multi agent
- reinforcement learning algorithms
- heterogeneous data
- subspace clustering
- web resources