On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications

Keyphrases

• Big Data Applications 100%
• Intermediate Data 100%
• Traffic-aware 100%
• Aggregator 100%
• Reduce Task 100%
• MapReduce 100%
• Map Task 100%
• Data Partitioning 100%
• MapReduce Jobs 100%
• Network Traffic Cost 100%
• Hash Function 50%
• Decomposition Method 50%
• Online Algorithms 50%
• Network Topology 50%
• Network Traffic 50%
• Distributed Algorithms 50%
• Performance Enhancement 50%
• Network Data 50%
• Partitioning Scheme 50%
• Placement Problem 50%
• Large-scale Optimization Problems 50%
• Data Aggregation 50%
• MapReduce Model 50%
• Big Data Processing 50%
• Shuffle Phase 50%
• Multiple Maps 50%
• Novel Intermediate 50%
• Commodity Cluster 50%

Computer Science

• Big Data Application 100%
• Map-Reduce 100%
• Network Traffic 75%
• Intermediate Data 50%
• Data Partition 50%
• Programming Model 25%
• Optimization Problem 25%
• Performance Enhancement 25%
• Large-Scale Optimization 25%
• Large Scale Data 25%
• Distributed Algorithm 25%
• Scale Data Processing 25%
• Commodity Cluster 25%
• Network Topology 25%
• on-line algorithm 25%
• Hash Function 25%