Cloudless Resource Monitoring in a Fog Computing System Enabled by an SDN/NFV Infrastructure

Faculty/Professorship: Communication Services and Networks  
Author(s): Le, Duy Thanh ; Großmann, Marcel  ; Krieger, Udo R.
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2023
Pages: 1-4
Source/Other editions: Würzburg : Julius-Maximilians-Universität. - DOI: 10.25972/OPUS-28072
is version of: 10.25972/OPUS-28072
Year of first publication: 2022
Language(s): English
Licence: Creative Commons - CC BY-SA - Attribution - ShareAlike 4.0 International 
URN: urn:nbn:de:bvb:473-irb-560695
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
DDC Classification: 004 Computer science  
RVK Classification: ST 230   
Type: Workingpaper
Release Date: 9. May 2023

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