A scalable machine learning strategy for resource allocation in database

A scalable machine learning strategy for resource allocation in database

Abstract Modern cloud computing systems require intelligent resource allocation strategies that balance quality-of-service (QoS), operational costs, and energy sustainability. Existing deep Q-learning (DQN) methods suffer from sample inefficiency, centralization bottlenecks, and reactive decision-ma...

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Bibliographic Details
Main Authors: Fady Nashat Manhary, Marghny H. Mohamed, Mamdouh Farouk
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Cloud computing
Resource allocation
Multi-Agent Reinforcement Learning
Workload forecasting
Energy efficiency
Scalability
Online Access:https://doi.org/10.1038/s41598-025-14962-5
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https://doi.org/10.1038/s41598-025-14962-5

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