Would Microsoft Azure Stream Analytics Be a Suitable Foundation for an Event Processing Network Model?
- 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.
| Author: | Arne KoschelORCiDGND, Anna PakoschORCiD, Christin Schulze, Irina Astrova, Christian Gerner, Matthias Tyca |
|---|---|
| URN: | urn:nbn:de:bsz:960-opus4-35967 |
| DOI: | https://doi.org/10.25968/opus-3596 |
| DOI original: | https://doi.org/10.5220/0013073000003890 |
| ISBN: | 978-989-758-737-5 |
| ISSN: | 2184-3589 |
| Parent Title (English): | Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART |
| Publisher: | SCITEPRESS - Science and Technology Publications |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2025 |
| Publishing Institution: | Hochschule Hannover |
| Release Date: | 2025/04/22 |
| Tag: | Azure Stream Analytics; Event Processing Network (EPN); Event Processing Network Model |
| GND Keyword: | Windows AzureGND; Ereignisgesteuertes SystemGND |
| Page Number: | 8 |
| First Page: | 15 |
| Last Page: | 22 |
| Institutes: | Fakultät IV - Wirtschaft und Informatik |
| Data|H - Institute for Applied Data Science Hannover | |
| DDC classes: | 004 Informatik |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
