KERSTREAM is a JCJC project funded by the French National Research Agency (ANR). This project aims to address the limitations of Hadoop when running stream Big Data applications on large-scale clouds and to do a step beyond Hadoop by proposing a new approach, called KERSTREAM, for scalable and resilient stream Big Data processing on clouds.
Duration: 60 months (2017-2022)
Budget: 238,000 EUR
Coordinator: Shadi Ibrahim (Inria Research Scientist)

Open Positions

I am looking for highly motivated Master students and Post-docs to work on scalable and dependable Stream Big data processsing for Spring and Fall 2021. Please feel free to email me your resume.

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