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Is Amazon Kinesis Data Analytics Suitable as Core 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 Amazon Kinesis Data Analytics. It enhances our previous work in this area, in which we recently analyzed Apache Storm 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 Amazon Kinesis Data Analytics as a concrete implementation foundation of an EPN model.

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Metadaten
Author:Arne KoschelORCiDGND, Irina Astrova, Anna PakoschORCiD, Christian Gerner, Christin Schulze, Matthias Tyca
URN:urn:nbn:de:bsz:960-opus4-31186
DOI:https://doi.org/10.25968/opus-3118
DOI original:https://doi.org/10.5220/0012432800003636
ISBN:978-989-758-680-4
ISSN:2184-433X
Parent Title (English):16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Rome
Publisher:SciTePress
Document Type:Conference Proceeding
Language:English
Year of Completion:2024
Publishing Institution:Hochschule Hannover
Release Date:2024/06/18
Tag:Amazon Kinesis Data Analytics; Event Processing Network (EPN); Event Processing Network Model
GND Keyword:Datenanalyse
First Page:1036
Last Page:1043
Link to catalogue:1917588593
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International