A platform for MBDAaaS based on patterns and skeletons: The python based algorithms compiler

Due to the initial investments needed by companies to acquire the necessary expertise, hardware and software to run proper Big Data Analytics, small and medium enterprises (SMEs) are often incapacitated from exploiting the full benefits of Big Data. The Model-Driven provided by Toreador promises to...

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Bibliographic Details
Published in2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) pp. 400 - 405
Main Authors Di Martino, Beniamino, D'Angelo, Salvatore, Esposito, Antonio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
Big Data
Computational modeling
Computer architecture
Data models
Ontologies
Semantics
Skeleton
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DOI10.1109/ICNSC.2017.8000126

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Summary:Due to the initial investments needed by companies to acquire the necessary expertise, hardware and software to run proper Big Data Analytics, small and medium enterprises (SMEs) are often incapacitated from exploiting the full benefits of Big Data. The Model-Driven provided by Toreador promises to support SMEs in reaping the fruits of Big Data Analytics, by keeping the inherent costs at a minimum and thus allowing for a proper exploitation. In this paper, Models for declaring and describing algorithms, procedures and deployment configuration for Big Data are presented, with a focus on procedural aspects.
DOI:10.1109/ICNSC.2017.8000126