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| 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% | |