RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning.
Jiaming HuangChuming XiaoWeigang WuPublished in: IC2E (2020)
Keyphrases
- reinforcement learning
- clustering algorithm
- function approximation
- hierarchical clustering
- multi agent
- digital libraries
- data points
- machine learning
- unsupervised clustering
- graph clustering
- data clustering
- cluster analysis
- markov decision processes
- state space
- data sources
- document clustering
- reinforcement learning algorithms
- model free
- optimal control
- fuzzy clustering
- scheduling algorithm
- subspace clustering
- data objects
- temporal difference
- optimal policy
- learning algorithm
- neural network
- job satisfaction
- job search