Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures

Keyphrases

• Performance Management 100%
• Network Function Virtualization 100%
• Fault Management 100%
• Multi-cloud 100%
• Cloud Networks 100%
• Multiple Clouds 50%
• Support Vector Machine 25%
• Performance Level 25%
• Deep Structure 25%
• Localization of Function 25%
• Function Performance 25%
• Simple Detection 25%
• Performance Issues 25%
• Shallow Machine Learning 25%
• Shallow Learning 25%
• Evaluation Results 25%
• Virtual Network 25%
• Virtual Resources 25%
• Resource Network 25%
• Virtualization 25%
• Rule-based System 25%
• Stacked Autoencoder 25%
• Total Operating Cost 25%
• Localization Model 25%
• Learning Structure 25%
• Accounting Performance 25%
• Fault Localization 25%
• Traditional Rule 25%
• Traditional Network 25%
• Virtual Services 25%
• Fault Performance 25%
• Kaggle 25%
• Markov Sampling 25%
• Performance Framework 25%
• Deep Learning Structure 25%
• Accounting Framework 25%
• Fault Secure 25%
• Security Framework 25%
• Multivariate Kernel Density Estimation 25%
• Fault Detection Model 25%
• Fault Configuration 25%

Computer Science

• Performance Management 100%
• Network Function Virtualization 100%
• Fault Management 100%
• Virtual Network 50%
• Support Vector Machine 25%
• Virtual Resource 25%
• Evaluation Result 25%
• Performance Issue 25%
• Machine Learning 25%
• Learning System 25%
• Deep Learning Method 25%
• Fault detection 25%
• Autoencoder 25%
• Network Service 25%
• Virtualization 25%
• Fault Localization 25%
• Security Framework 25%