Two Stage Decomposition with Hybrid BiLSTM-BiGRU Networks for Accurate and Efficient Data Center Workload Prediction
Accurate workload prediction in cloud data centers is essential for efficient resource management, yet high-dimensional and noisy operational data often hinder forecasting performance. This work extends the original CVCBM model by integrating a lightweight Bidirectional GRU (BiGRU) with Bidirectional LSTM (BiLSTM) to e...