Advisor
Fabrizio Marozzo
Co-advisor
Domenico Talia
Research Topic
Performance of machine learning applications on Big Data
Research Abstract
The research project is focused on the study ed implementation of new techniques for optimizing the performance of machine learning applications on Big Data. The goal is to study the main ones programming models (e.g. MapReduce, workflow, BSP, message passing,
and SQL-like and Big Data frameworks (e.g. Hadoop, Spark, Storm, Hive), with particular attention to the frameworks that allow to execute algorithms of machine learning