Cristian Cosentino


Fabrizio Marozzo


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