This workshop takes place at the Sixth IEEE International Conference on Big Data Computing Service and Machine Learning Applications on 13 April, in Oxford (http://www.big-dataservice.net/index.html). Authors are invited to submit original research work to this workshop. The deadline for submission is extended to 31 January.

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.

More information here: https://bigdatastack.eu/news/call-papers-ieee-bigdataservice2020-workshop

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