Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs

Keyphrases

• Resource Allocation 100%
• Learning-based 100%
• Stream Processing 100%
• Reinforcement Learning 100%
• Process Graph 100%
• Coarsening Models 100%
• Large Graphs 66%
• Resource Allocation Problem 33%
• Computing Node 33%
• Machine Learning Solutions 33%
• Workload Distribution 33%
• Streaming Graphs 33%
• Encoder-decoder 33%
• Graph Partitioning 33%
• Long-range Dependence 33%
• Relative Improvement 33%
• NP-complete 33%
• Heuristic-based 33%
• Global Information 33%
• Computing Devices 33%
• Dependency Information 33%
• Edge-based 33%
• Balance Workload 33%
• Small Graph 33%
• Efficient Allocation 33%
• Learnheuristics 33%
• Graph Coarsening 33%
• Device Assignment 33%

Computer Science

• Resource Allocation 100%
• Stream Processing 100%
• Reinforcement Learning 100%
• Approximation (Algorithm) 33%
• Allocation Problem 33%
• Machine Learning 33%
• Computing Device 33%
• Workload Distribution 33%
• Graph Partition 33%
• Global Information 33%
• Partitioning Method 33%
• Long Distance Dependency 33%