On Machine Learning-based Stage-aware Performance Prediction of Spark Applications

Keyphrases

• Performance Prediction 100%
• Execution Time 100%
• Cloud Environment 100%
• Machine Learning Based 100%
• Spark Application 100%
• Large-scale Application 50%
• Scientific Domain 50%
• Storage Capacity 50%
• Parallel Computing 50%
• Prediction Model 50%
• Computing Capabilities 50%
• Storage Resources 50%
• Neural Network Model 50%
• Computing Resources 50%
• Performance Data 50%
• Performance Requirements 50%
• Pay-as-you-go 50%
• Viable Solutions 50%
• Streaming Data 50%
• Prediction Method 50%
• Training Data 50%
• In-memory Processing 50%
• Compute Engine 50%
• Cloud Resources 50%
• Explosive Growth 50%
• Amazon EC2 50%
• MapReduce Framework 50%
• Regression Prediction 50%
• Distributed File System 50%
• Business Domain 50%
• Engineering Domains 50%
• Hierarchical Model 50%
• Historical Performance 50%
• Hierarchical Neural Network 50%
• Spark Engine 50%
• Alibaba Cloud 50%
• Execution Patterns 50%
• Holistic Prediction 50%

Computer Science

• Machine Learning 100%
• Execution Time 100%
• Cloud Environment 100%
• Storage Capacity 50%
• Engineering Science 50%
• Experimental Result 50%
• Storage Resource 50%
• Neural Network Model 50%
• Computing Resource 50%
• Parallel Computing 50%
• Performance Requirement 50%
• Performance Data 50%
• Data Streaming 50%
• Training Data 50%
• In-Memory Processing 50%
• Prediction Model 50%
• Extracted Information 50%
• Mapreduce Framework 50%
• Business Domain 50%
• Hierarchical Model 50%
• Distributed File Systems 50%