Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning

Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning

Workload prediction is one of the most basic requirements in developing cost and energy-efficient Cloud Data Centers (CDCs). Most traditional approaches have suffered from noise and failed to capture the complex dynamic patterns in workload data, reducing their accuracy. To improve this, we introduc...

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Bibliographic Details
Main Authors: Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cloud data center
workload prediction
deep learning
hybrid prediction
data decomposition
Online Access:https://ieeexplore.ieee.org/document/10960295/
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