End-to-End Latency Prediction of Microservices Workflow on Kubernetes: A Comparative Evaluation of Machine Learning Models and Resource Metrics.
Haytham MohamedOmar F. El-GayarPublished in: HICSS (2021)
Keyphrases
- end to end
- comparative evaluation
- machine learning models
- predictive model
- spam filtering
- machine learning algorithms
- prediction accuracy
- prediction model
- ad hoc networks
- machine learning approaches
- admission control
- machine learning
- neural network
- application layer
- congestion control
- real world
- low latency
- transport layer
- historical data
- resource management
- learning models
- resource allocation
- wireless networks
- response time
- reinforcement learning