gym-hpa: Efficient Auto-Scaling via Reinforcement Learning for Complex Microservice-based Applications in Kubernetes.
José SantosTim WautersBruno VolckaertFilip De TurckPublished in: NOMS (2023)
Keyphrases
- reinforcement learning
- computationally intensive
- computationally efficient
- computationally expensive
- high level
- real world
- markov decision processes
- decision making
- artificial intelligence
- information retrieval
- similarity measure
- multi agent
- dynamical systems
- machine learning
- data mining
- complex data
- data sets
- reinforcement learning algorithms
- multi agent reinforcement learning