A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows.
Jianlei LiuEric BraunClemens DüpmeierPatrick KuckertzDavid Severin RybergMartin RobiniusDetlef StoltenVeit HagenmeyerPublished in: ICSA (2018)
Keyphrases
- data processing
- highly scalable
- theoretical framework
- main contribution
- data analysis
- data sets
- high level
- scientific workflows
- simulation model
- probabilistic model
- database systems
- response time
- data management
- information systems
- artificial intelligence
- machine learning
- data mining
- conceptual framework
- scientific data
- workflow management systems
- neural network
- real time