On Performance Prediction of Big Data Transfer in High-performance Networks

Keyphrases

• Performance Prediction 100%
• High-speed Networks 100%
• Big Data Transfer 100%
• Latent Factors 100%
• Data Transfer 50%
• Dedicated Connections 50%
• Loss Function 50%
• Industrial Application 25%
• Prediction Model 25%
• Prediction Accuracy 25%
• Network Management 25%
• Big Data 25%
• Bandwidth Utilization 25%
• Impact Performance 25%
• Geographical Location 25%
• User Request 25%
• State-of-the-art Techniques 25%
• Clustering Methods 25%
• Negative Impact 25%
• Elimination Method 25%
• Transfer Performance 25%
• Over-provisioning 25%
• Resource Waste 25%
• Data Preprocessing 25%
• Remote Analysis 25%
• Large-scale Scientific Application 25%
• Machine Learning Based 25%
• Inaccurate Predictions 25%
• Remote Processing 25%
• Robust Machine Learning 25%
• Throughput Prediction 25%
• Fitting Prior 25%
• Remote Storage 25%
• Factor Elimination 25%
• Observed Transfers 25%

Computer Science

• Big Data 100%
• Performance Network 100%
• Dedicated Connection 66%
• Industrial Application 33%
• Machine Learning 33%
• Experimental Result 33%
• Scientific Application 33%
• Network Management 33%
• Conventional Method 33%
• Prediction Model 33%
• Bandwidth Utilization 33%
• Geographical Location 33%
• Prediction Accuracy 33%
• Negative Impact 33%
• Application Level 33%
• Data Preprocessing 33%
• Remote Storage 33%
• Elimination Method 33%

Engineering

• Big Data 100%
• Data Transfer 100%
• Performance Prediction 100%
• Latent Factor 100%
• Loss Function 50%
• Industrial Applications 25%
• Experimental Result 25%
• Conventional Method 25%
• State-of-the-Art Method 25%
• Bandwidth Utilization 25%
• Application Level 25%
• Negative Impact 25%
• Data Preprocessing 25%
• Geographical Location 25%