DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters.
Haoyu BaiMinxian XuKejiang YeRajkumar BuyyaCheng-Zhong XuPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- multi agent
- scalable distributed
- clustering algorithm
- distributed systems
- cooperative
- data intensive
- data points
- function approximation
- lightweight
- distributed data
- hierarchical clustering
- distributed environment
- optimal policy
- temporal difference
- fuzzy clustering
- data sets
- cluster analysis
- data distribution
- communication cost
- state space
- high scalability
- learning algorithm
- markov decision processes
- overlapping clusters
- parameter free
- reinforcement learning algorithms
- supervised learning
- similarity measure
- machine learning