Optimizing cloud elasticity : A Deep Reinforcement Learning approach enhanced by transfer learning.
Cloud elasticity enables providers to dynamically scale application resources in response to fluctuating demand. Traditional scaling mechanisms often rely on simple heuristics, which can lead to suboptimal performance and resource utilization. This work proposes a Deep Reinforcement Learning based c...
Saved in:
| Main Author: | |
|---|---|
| Format: | masterThesis |
| Language: | English |
| Published: |
2025
|
| Online Access: | https://hdl.handle.net/20.500.12008/50738 |
| Tags: |
No Tags, Be the first to tag this record!
|