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