Publication Date:
2016
abstract:
The analysis of very large data sources requires
scalable systems to reduce execution time and make the Big Data
paradigm viable. Cloud infrastructures can be effectively used
as scalable computing and storage platforms for implementing
high-performance data analysis services. Nubytics is a Softwareas-
a-Service (SaaS) system that exploits Cloud facilities to provide
efficient services for analyzing large datasets. The system allows
users to import their data to the Cloud, extract knowledge
models using high performance data mining services, and exploit
the inferred knowledge to predict new data and behaviours. In
particular, Nubytics provides data classification and regression
services that can be used in a variety of scientific and business
applications. Scalability is ensured by a parallel computing
approach that fully exploits the resources available on a Cloud.
The paper describes the main services provided by Nubytics
and presents an experimental performance analysis to show its
scalability.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
scalable data analysis
List of contributors: