Data Collection Framework - A Flexible and Efficient Tool for Heterogeneous Data Acquisition

Luigi Sgaglione, Gaetano Papale, Giovanni Mazzeo, Gianfranco Cerullo, Pasquale Starace, Ferdinando Campanile

Abstract

The data collection for eventual analysis is an old concept that today receives a revisited interest due to the emerging of new research trend such Big Data. Furthermore, considering that a current market trend is to provide integrated solution to achieve multiple purposes (such as ISOC, SIEM, CEP, etc.), the data became very heterogeneous. In this paper a flexible and efficient solution about the data collection of heterogeneous data is presented, describing the approach used to collect heterogeneous data and the additional features (pre-processing) provided with it.

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Paper Citation


in Harvard Style

Sgaglione L., Papale G., Mazzeo G., Cerullo G., Starace P. and Campanile F. (2016). Data Collection Framework - A Flexible and Efficient Tool for Heterogeneous Data Acquisition . In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016) ISBN 978-989-758-182-3, pages 374-379. DOI: 10.5220/0005931103740379


in Bibtex Style

@conference{datadiversityconvergence16,
author={Luigi Sgaglione and Gaetano Papale and Giovanni Mazzeo and Gianfranco Cerullo and Pasquale Starace and Ferdinando Campanile},
title={Data Collection Framework - A Flexible and Efficient Tool for Heterogeneous Data Acquisition},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)},
year={2016},
pages={374-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005931103740379},
isbn={978-989-758-182-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)
TI - Data Collection Framework - A Flexible and Efficient Tool for Heterogeneous Data Acquisition
SN - 978-989-758-182-3
AU - Sgaglione L.
AU - Papale G.
AU - Mazzeo G.
AU - Cerullo G.
AU - Starace P.
AU - Campanile F.
PY - 2016
SP - 374
EP - 379
DO - 10.5220/0005931103740379