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 ![]() |
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 |
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 |
DDC Classification: | 004 Computer science |
RVK Classification: | ST 230 |
Type: | Workingpaper |
URI: | https://fis.uni-bamberg.de/handle/uniba/56069 |
Release Date: | 9. May 2023 |
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University of Bamberg