Energy Consumption Optimization in Data Centers Using LSTM-Based Load Prediction and Dynamic Resource Allocation

Data publikacji: 22 lis 2024

Otrzymano: 12 lip 2024

Przyjęty: 17 paź 2024

DOI: https://doi.org/10.2478/amns-2024-3418

Słowa kluczowe

Energy consumption optimization, LSTM, Load prediction, Dynamic resource allocation, Genetic algorithms, Data centers

© 2024 Dujun Dang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.