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Authors: Arne Koschel 1 ; Anna Pakosch 1 ; Christin Schulze 1 ; Irina Astrova 2 ; Christian Gerner 1 and Matthias Tyca 1

Affiliations: 1 Hochschule Hannover, DataH, University of Applied Sciences and Arts, Hannover, Germany ; 2 Department of Software Science, School of IT, Tallinn University of Technology, Tallinn, Estonia

Keyword(s): Event Processing Network (EPN), Event Processing Network Model, Azure Stream Analytics.

Abstract: This article looks at a proposed list of generalized requirements for a unified modelling of event processing networks (EPNs) and its application to Microsoft Azure Stream Analytics. It enhances our previous work in this area, in which we recently analyzed Apache Storm, Amazon Kinesis Data Analytics and earlier also the EPiA model, the BEMN model, and the RuleCore model. Our proposed EPN requirements look at both: The logical model of EPNs and the concrete technical implementation of them. Therefore, our article provides requirements for EPN models based on attributes derived from event processing in general as well as existing models. Moreover, as its core contribution our article applies those requirements by an in depth analysis of Microsoft Azure Stream Analytics as a concrete implementation foundation of an EPN model.

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Paper citation in several formats:
Koschel, A., Pakosch, A., Schulze, C., Astrova, I., Gerner, C. and Tyca, M. (2025). Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5; ISSN 2184-433X, SciTePress, pages 15-22. DOI: 10.5220/0013073000003890

@conference{icaart25,
author={Arne Koschel and Anna Pakosch and Christin Schulze and Irina Astrova and Christian Gerner and Matthias Tyca},
title={Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={15-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013073000003890},
isbn={978-989-758-737-5},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?
SN - 978-989-758-737-5
IS - 2184-433X
AU - Koschel, A.
AU - Pakosch, A.
AU - Schulze, C.
AU - Astrova, I.
AU - Gerner, C.
AU - Tyca, M.
PY - 2025
SP - 15
EP - 22
DO - 10.5220/0013073000003890
PB - SciTePress

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