Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds

Keyphrases

• Resource Utilization 100%
• Prediction Method 100%
• Improved LSTM 100%
• Traditional Models 40%
• Integrated Prediction Model 40%
• Long Short-term Memory Network 40%
• Prediction Accuracy 20%
• Edge Computing System 20%
• Challenging Issues 20%
• Online Services 20%
• Cloud Data Center 20%
• Performance Results 20%
• Result Prediction 20%
• Cloud System 20%
• Nonlinear Characteristics 20%
• Cloud Computing Environment 20%
• World Cloud 20%
• Number of Services 20%
• Inaccurate Predictions 20%
• Edge Cloud 20%
• Savitzky-Golay Filter 20%
• Noise Interference 20%
• Google Cloud 20%
• Edge Cloud Computing 20%
• Long Short-term Memory Network Model 20%
• Edge Providers 20%
• Long-term Memory 20%
• Cloud Computing Resources 20%

Computer Science

• Long Short-Term Memory Network 100%
• Long Short-Term Memory Networks 100%
• Traditional Model 66%
• Data Center 33%
• Cloud Computing 33%
• cloud system 33%
• Edge Computing 33%
• Computing Resource 33%
• Prediction Model 33%
• Typical Prediction 33%
• Scale Workload 33%