name: cloud-resource-allocation-rl
version: 1.0.0
description: Cloud infrastructure resource allocation environment for reinforcement learning

observation_space:
  type: Box
  shape: [4]
  dtype: float32
  low: [0.0, 0.0, 0.0, 1.0]
  high: [100.0, 100.0, .inf, .inf]
  description: |
    [cpu, memory, request_rate, resources]
    - cpu: CPU utilization percentage (0-100)
    - memory: Memory utilization percentage (0-100)
    - request_rate: Incoming requests per timestep (0+)
    - resources: Number of allocated server instances (1+)

action_space:
  type: Discrete
  n: 3
  description: |
    0: Decrease resources (remove 1 server instance, minimum 1)
    1: Maintain resources (keep current allocation)
    2: Increase resources (add 1 server instance)

reward_range: [0.0, 1.0]

episode_length: 100

termination_conditions:
  - Max steps reached (100)
  - CPU utilization > 95%
  - Memory utilization > 95%