Towards using Reinforcement Learning for Scaling and Data Replication in Cloud Systems

• URL: http://arxiv.org/abs/2410.11862v1
• Date: Mon, 07 Oct 2024 11:32:35 GMT
• Title: Towards using Reinforcement Learning for Scaling and Data Replication in Cloud Systems
• Authors: Riad Mokadem, Fahem Arar, Djamel Eddine Zegour,
• Abstract summary: Reinforcement learning is used in many areas related to the Cloud Computing, and it is a promising field to get automatic data replication strategies. In this work, we survey data replication strategies and data scaling based on reinforcement learning (RL)
• Score: 0.49157446832511503
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Given its intuitive nature, many Cloud providers opt for threshold-based data replication to enable automatic resource scaling. However, setting thresholds effectively needs human intervention to calibrate thresholds for each metric and requires a deep knowledge of current workload trends, which can be challenging to achieve. Reinforcement learning is used in many areas related to the Cloud Computing, and it is a promising field to get automatic data replication strategies. In this work, we survey data replication strategies and data scaling based on reinforcement learning (RL).

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