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Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge Environments

Gropengießer, Uwe ; Liphardt, Julian ; Matthé, Michael ; Mühlhäuser, Max (2023)
Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge Environments.
8th ACM/IEEE Symposium on Edge Computing. Wilmington, USA (06.12. - 09.12.2023)
doi: 10.1145/3583740.3626628
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Mission-critical applications, which must adhere to processing deadlines, can benefit from low latencies offered by the edge. Adapting the Quality of Result allows for targeted processing times by selecting various approximations. Feature models can be employed to manage the resulting multitude of possible configurations. However, the deployment and (re)-configuration process is very time-consuming, making it impractical for mission-critical applications. In this work, we introduce a processing pipeline with components that significantly accelerate online (re)-configuration based on changing latencies compared to the state-of-the-art. Additionally, we address the edge-specific discovery of potential microservice chains capable of executing the application.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Gropengießer, Uwe ; Liphardt, Julian ; Matthé, Michael ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge Environments
Sprache: Englisch
Publikationsjahr: 7 Dezember 2023
Verlag: IEEE
Buchtitel: 2023 IEEE/ACM Symposium on Edge Computing (SEC)
Veranstaltungstitel: 8th ACM/IEEE Symposium on Edge Computing
Veranstaltungsort: Wilmington, USA
Veranstaltungsdatum: 06.12. - 09.12.2023
DOI: 10.1145/3583740.3626628
URL / URN: https://ieeexplore.ieee.org/document/10419282
Kurzbeschreibung (Abstract):

Mission-critical applications, which must adhere to processing deadlines, can benefit from low latencies offered by the edge. Adapting the Quality of Result allows for targeted processing times by selecting various approximations. Feature models can be employed to manage the resulting multitude of possible configurations. However, the deployment and (re)-configuration process is very time-consuming, making it impractical for mission-critical applications. In this work, we introduce a processing pipeline with components that significantly accelerate online (re)-configuration based on changing latencies compared to the state-of-the-art. Additionally, we address the edge-specific discovery of potential microservice chains capable of executing the application.

Freie Schlagworte: Feature Model, Edge Computing, Approximate Computing, Quality of Result
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B2: Koordination und Ausführung
TU-Projekte: DFG|SFB1053|SFB1053 TPB02 Mühlhä
Hinterlegungsdatum: 03 Apr 2024 13:36
Letzte Änderung: 03 Apr 2024 13:36
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