μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud

Mathematics

• Reinforcement Learning 100%
• Concurrency 80%
• Scaling 57%
• Response Time 50%
• Resources 49%
• Hardware 48%
• Resource Allocation 34%
• Fluctuations 25%
• On-line Monitoring 24%
• Service Levels 21%
• Electronic Commerce 20%
• Strategy 18%
• System Performance 17%
• Latency 17%
• Workload 17%
• Scalability 17%
• Thread 17%
• Social Networks 16%
• Percentile 15%
• Business 14%
• Experimental Results 13%
• Benchmark 13%
• Tail 11%
• Trace 10%
• Metric 8%
• Demonstrate 7%
• Framework 7%

Engineering & Materials Science

• Reinforcement learning 66%
• Computer hardware 39%
• Resource allocation 37%
• Facings 29%
• Scalability 17%
• Monitoring 12%