Chairs
Program Committee
- Rizos Sakellariou, University of Manchester
- Sukhpal Gill, Queen Mary University of London
- Bartosz Balis, Institute of Computer Science & ACC CYFRONET AGH, Krakow
- Christos Baloukas, National Technical University of Athens
- Julián Arenas-Guerrero, Universidad Politécnica de Madrid
- Suren Byna, The Ohio State University
- Barbara Cantalupo, University of Torino
- José M Cecilia, Universitat Politècnica de València
- Tania Cerquitelli, Politecnico di Torino
- Alexandru Costan, INRIA
- Hao Dai, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
- Reza Farahani, University of Klagenfurt
- Philipp Gschwandtner, University of Innsbruck
- Shadi Ibrahim, Inria, Rennes Bretagne Atlantique Research Center
- Hideyuki Kawashima, Keio University
- Youngjae Kim, Sogang University
- Dalibor Klusacek, CESNET, Brno, Czech Republic
- Michael Kuhn, Otto von Guericke University Magdeburg
- Young Choon Lee, Macquarie University
- Manolis Marazakis, Instutute of Computer Science, FORTH
- Jorji Nonaka, RIKEN Center for Computational Science
- Ramon Nou, Universitat Politècnica de Catalunya
- Dana Petcu, West University of Timisoara
- Jagat Pudipeddi, META
- M. Mustafa Rafique, Rochester Institute of Technology
- Robinson Rivas, UCV
- Jože Rožanec, Jožef Stefan Institute
- Seyedehhaleh Seyeddizaji, Klagenfurt University
- Josef Spillner, Zurich University of Applied Sciences
- Jacek Sroka, University of Warsaw
- Dingwen Tao, Indiana University
- Osamu Tatebe, University of Tsukuba
- Douglas Thain, University of Notre Dame
- Rafael Tolosana-Calasanz, Universidad de Zaragoza
- Massimo Torquati, University of Pisa
- Aurelio Vivas, Universidad de lo Andes
- Ahmad Zareie, University of Sheffield
- Yang Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
- Jiashu Wu, University of Chinese Academy of Sciences
- Emilio Serrano, Universidad Politécnica de Madrid
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
