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https://doi.org/10.21256/zhaw-22692| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Modeling and emulation of an osmotic computing ecosystem using OsmoticToolkit |
| Autor/-in: | Buzachis, Alina Boruta, Daiana Villari, Massimo Spillner, Josef |
| et. al: | No |
| DOI: | 10.1145/3437378.3444366 10.21256/zhaw-22692 |
| Tagungsband: | 2021 Australasian Computer Science Week Multiconference |
| Seite(n): | 1 |
| Seiten bis: | 9 |
| Angaben zur Konferenz: | 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC) @ ACSW, online, 1-5 February 2021 |
| Erscheinungsdatum: | 1-Feb-2021 |
| Verlag / Hrsg. Institution: | Association for Computing Machinery |
| ISBN: | 978-1-4503-8956-3 |
| Sprache: | Englisch |
| Schlagwörter: | Cloud computing; Osmotic computing; Emulation; SDN; Microservice; Deployment; Orchestration |
| Fachgebiet (DDC): | 004: Informatik |
| Zusammenfassung: | Digital services are increasingly becoming cyber-physical and osmotic, combining Cloud resources with Fog, Edge, and IoT devices. This trend can be observed in the e-health domain or in smart city applications where the location of software deployments and data processing matters. Before such applications go live, careful planning with real system emulation is necessary. We claim that the OsmoticToolkit, although in the early stages, is the first emulation environment designed to address this challenge. In this paper, we introduce the emulator’s functionalities and validate experimentally with an e-health scenario, using a reference deployment of a microservice-based hospital application. The experimental results carried out show its effectiveness providing valuable support for understanding the impact on resources, workloads, and Quality of Service requirements within Cloud-Edge/Fog-IoT scenarios while preserving the users’ Service Level Agreements (SLAs). |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/22692 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2021_Buzachis-etal_OsmoticToolkit.pdf | Accepted Version | 897.71 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Buzachis, A., Boruta, D., Villari, M., & Spillner, J. (2021). Modeling and emulation of an osmotic computing ecosystem using OsmoticToolkit [Conference paper]. 2021 Australasian Computer Science Week Multiconference, 1–9. https://doi.org/10.1145/3437378.3444366
Buzachis, A. et al. (2021) ‘Modeling and emulation of an osmotic computing ecosystem using OsmoticToolkit’, in 2021 Australasian Computer Science Week Multiconference. Association for Computing Machinery, pp. 1–9. Available at: https://doi.org/10.1145/3437378.3444366.
A. Buzachis, D. Boruta, M. Villari, and J. Spillner, “Modeling and emulation of an osmotic computing ecosystem using OsmoticToolkit,” in 2021 Australasian Computer Science Week Multiconference, Feb. 2021, pp. 1–9. doi: 10.1145/3437378.3444366.
BUZACHIS, Alina, Daiana BORUTA, Massimo VILLARI und Josef SPILLNER, 2021. Modeling and emulation of an osmotic computing ecosystem using OsmoticToolkit. In: 2021 Australasian Computer Science Week Multiconference. Conference paper. Association for Computing Machinery. 1 Februar 2021. S. 1–9. ISBN 978-1-4503-8956-3
Buzachis, Alina, Daiana Boruta, Massimo Villari, and Josef Spillner. 2021. “Modeling and Emulation of an Osmotic Computing Ecosystem Using OsmoticToolkit.” Conference paper. In 2021 Australasian Computer Science Week Multiconference, 1–9. Association for Computing Machinery. https://doi.org/10.1145/3437378.3444366.
Buzachis, Alina, et al. “Modeling and Emulation of an Osmotic Computing Ecosystem Using OsmoticToolkit.” 2021 Australasian Computer Science Week Multiconference, Association for Computing Machinery, 2021, pp. 1–9, https://doi.org/10.1145/3437378.3444366.
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