loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Benjamin Gaunitz ; Martin Roth and Bogdan Franczyk

Affiliation: Leipzig University, Germany

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.210.78.150

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - ENASE; ISBN 978-989-758-100-7; ISSN 2184-4895, SciTePress, 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 - ENASE},
year={2015},
pages={289-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005467602890294},
isbn={978-989-758-100-7},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering - 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
IS - 2184-4895
AU - Gaunitz, B.
AU - Roth, M.
AU - Franczyk, B.
PY - 2015
SP - 289
EP - 294
DO - 10.5220/0005467602890294
PB - SciTePress