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Authors: Benjamin Gaunitz ; Martin Roth and Bogdan Franczyk

Affiliation: Leipzig University, Germany

ISBN: 978-989-758-100-7

Keyword(s): Real-time Analytics, Logistics, Complex Event Processing.

Abstract: In this paper we present an approach for an information system which is capable of processing and analysing vast amounts of data. In addition to Big Data solutions we do not focus on ex post batch processing but on online stream processing. We use Apache Storm in combination with Complex Event Processing to provide a scalable and dynamic event-driven information system, providing logistics businesses with relevant information in real-time to increase their data and process transparency.

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Paper citation in several formats:
Gaunitz, B.; Roth, M. and Franczyk, B. (2015). Dynamic and Scalable Real-time Analytics in Logistics - Combining Apache Storm with Complex Event Processing for Enabling New Business Models in Logistics.In Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-100-7, pages 289-294. DOI: 10.5220/0005467602890294

@conference{enase15,
author={Benjamin Gaunitz. and Martin Roth. and Bogdan Franczyk.},
title={Dynamic and Scalable Real-time Analytics in Logistics - Combining Apache Storm with Complex Event Processing for Enabling New Business Models in Logistics},
booktitle={Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2015},
pages={289-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005467602890294},
isbn={978-989-758-100-7},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Dynamic and Scalable Real-time Analytics in Logistics - Combining Apache Storm with Complex Event Processing for Enabling New Business Models in Logistics
SN - 978-989-758-100-7
AU - Gaunitz, B.
AU - Roth, M.
AU - Franczyk, B.
PY - 2015
SP - 289
EP - 294
DO - 10.5220/0005467602890294

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