Call for Papers for IEEE BIGDATASERVICE2020 Workshop

Authors are invited to submit original research work to the BIGDATASERVICE 2020 workshop on Big Data Infrastructures For Data Intensive Applications.  The workshop takes place at the Sixth IEEE International Conference on Big Data Computing Service and Machine Learning Applications on 13 April, in Oxford. The deadline for submission is extended to 31 January. 


The Big Data Infrastructures For Data Intensive Applications Workshop 

Big Data management is of key interest nowadays due to the large amount of data being generated every day in different domains ranging from user-generated data to applications, across domains such as banking, transport, e-commerce and healthcare, among many others. Furthermore, these data are generated by a wide range of devices such as smartphones, tablets, physical sensors and online (micro-)services. Meanwhile, frameworks for analysing, visualizing and consuming these data must take into account that in many cases the data are distributed, noisy and probably incomplete. Lastly, application developers and researchers use these frameworks in order to create new applications and services by taking into consideration the underlying infrastructure for the application deployment, dimensioning and tuning. Hence, big data infrastructures, act as a focal point for a wide range of developers and practitioners in different fields. This workshop aims to provide a venue for these diverse groups to come together to promote the creation of next generation big data infrastructures, architectures for data intensive tasks and data-related cloud services from the perspective of scalability, availability and efficiency.

Topics of interest 

The following topics are of interest for the "Big Data Infrastructures For Data Intensive Applications" workshop, but not limited to: 

  • Automated/Semi-Automated Application Benchmarking
  • Big Data Analytics (online and off-line)
  • Big Data Search and Information Retrieval Techniques
  • Big Data Acquisition, Integration, Cleaning and Best Practices
  • Big Data Solutions for Services Design Patterns
  • Big Data Architectures for Analytic Processes
  • Dynamic auto-scaling techniques in Big Data applications 
  • Edge Computing 
  • Graph and Context Models for Visualization
  • Hybrid Transactional Analytical Processing (HTAP) Databases
  • Process Modeling and Mining
  • QoS Optimization through data placement
  • Representative Data Sampling
  • Real-time Application Monitoring
  • Runtime Deployment Adaptation
  • Systems and Architectures combining OLTP and OLAP


Deadline extended to 31 January 2020. 

Submit your paper here: