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Cloudless Resource Monitoring in a Fog Computing System Enabled by an SDN/NFV Infrastructure
Le, Duy Thanh; Großmann, Marcel; Krieger, Udo R. (2022): Cloudless Resource Monitoring in a Fog Computing System Enabled by an SDN/NFV Infrastructure, Würzburg: Julius-Maximilians-Universität, doi: 10.25972/OPUS-28072.
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Year of publication:
2022
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Language:
English
Remark:
Entstanden im Rahmen des "Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)" der Fakultät für Mathematik und Informatik / Institut für Informatik an der Julius-Maximilans-Universität Würzburg.
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Abstract:
Today’s advanced Internet-of-Things applications raise technical challenges on cloud, edge, and fog computing. The design of an efficient, virtualized, context-aware, self-configuring orchestration system of a fog computing system constitutes a major development effort within this very innovative area of research. In this paper we describe the architecture and relevant implementation aspects of a cloudless resource monitoring system interworking with an SDN/NFV infrastructure. It realizes the basic monitoring component of the fundamental MAPE-K principles employed in autonomic computing. Here we present the hierarchical layering and functionality within the underlying fog nodes to generate a working prototype of an intelligent, self-managed orchestrator for advanced IoT applications and services. The latter system has the capability to monitor automatically various performance aspects of the resource allocation among multiple hosts of a fog computing system interconnected by SDN.
GND Keywords: ; ; ; ; ;
Fog computing
Software-defined networking
Virtualisierung
Container <Informatik>
Orchestration
Docker <Software>
Keywords: ; ; ; ;
Fog Computing
SDN/NVF
Container Virtualization
Autonomic Orchestration
Docker
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Type:
Workingpaper
Activation date:
November 3, 2022
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https://fis.uni-bamberg.de/handle/uniba/56225