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

Online veröffentlicht: 22. Nov. 2024

Eingereicht: 12. Juli 2024

Akzeptiert: 17. Okt. 2024

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

Schlüsselwörter

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.