Auto-scaling dataset based on the gym-hpa framework

The implemented gym-hpa is a custom OpenAi Gym environment for the training of Reinforcement Learning (RL) agents for auto-scaling research in the Kubernetes (K8s) platform. Two environments exist based on the Redis Cluster and Online Boutique applications. Two collected datasets are shared here. The code has been released here: https://github.com/jpedro1992/gym-hpa Related Publication: Santos, J. et al. "gym-hpa: Efficient auto-scaling via reinforcement learning for complex microservice-based applications in Kubernetes." <em>NOMS2023, the IEEE/IFIP Network Operations and Management Symposium</em>. 2023.