Link Congestion Prediction using Machine Learning for Software-Defined-Network Data Plane.
Junying WuYunfeng PengMeng SongManman CuiLiang ZhangPublished in: CITS (2019)
Keyphrases
- machine learning
- prediction accuracy
- software development
- software systems
- pattern recognition
- computer science
- machine learning methods
- machine learning approaches
- decision trees
- prediction error
- knowledge representation
- information extraction
- natural language processing
- predictive modeling
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- development process
- data mining
- software architecture
- prediction algorithm
- machine learning algorithms
- learning algorithm
- artificial intelligence
- active learning
- user interface
- data analysis
- natural language
- learning tasks
- real time
- ip networks
- computer vision
- software tools
- three dimensional
- inductive logic programming
- computational intelligence
- artificial neural networks
- test cases
- motion estimation
- computer systems
- text classification
- text mining