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Nubytics: Scalable Cloud Services for Data Analysis and Prediction

Conference Paper
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:
Cesario, Eugenio
Handle:
https://iris.cnr.it/handle/20.500.14243/322312
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