Chairs

• Erhard Rahm, Leipzig University, Germany
• Jeyan Thiyagalingam, Rutherford Appleton Laboratory, UK

Focus

• Artificial Intelligence in the IoT-Edge-Cloud continuum  
• Data management in Edge devices and the computing continuum        
• Innovative applications and case studies      
• Large-scale data processing applications in science, engineering, business and healthcare        
• Emerging trends for computing, machine learning, approximate computing, and quantum computing.        
• Parallel, replicated, and highly-available distributed databases
• Scientific data analytics (Big Data or HPC-based approaches)
• Middleware for processing large-scale data
• Programming models for parallel and distributed data analytics            
• Workflow management for data analytics    
• Coupling HPC simulations with in-situ data analysis      
• Parallel data visualization          
• Distributed and parallel transaction, query processing and information retrieval            
• Internet-scale data-intensive applications      
• Sensor network data management    
• Data-intensive computing infrastructures  
• Parallel data streaming and data stream mining        
• New storage hierarchies in distributed data systems            
• Parallel and distributed machine learning, knowledge discovery and data mining          
• Privacy and trust in parallel and distributed data management and analytics systems    
• IoT data management and analytics            
• Parallel and distributed data science applications      
• Data analysis in cloud and serverless models