On a Fog Computing Platform Built on ARM Architectures by Docker Container Technology

  • Fog computing constitutes currently a challenging effort to establish the concepts and services of cloud computing at the edge of converging wireless networks and wired high-speed backbones. We discuss the concepts of our fog computing platform HCL-BaFog. It is built on top of Hypriot Cluster Lab (HCL) which has been developed by the Hypriot Pirate Crew in recent years based on single board computers with an ARM architecture. It uses LINUX container technology as underlying open source platform that has been established by means of the rapidly evolving framework Docker. We present the design principles of our fog computing platform and discuss its different software components. To create clusters of fog cells subject to high-availability requirements and to provide failsafe data processing, we further summarize some performance results on the integration of the orchestration tools Docker Swarm Mode and Kubernetes on HCL and draw some conclusions regarding their suitability for fog computing.

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Metadaten
Institutes:Fakultät Wirtschaftsinformatik und Angewandte Informatik / Professur für Informatik, insbesondere Kommunikationsdienste, Telekommunikationssysteme und Rechnernetze
Zentrale Einrichtungen und Institute / Rechenzentrum
Author:Andreas Eiermann, Mathias Renner, Marcel Großmann, Udo Krieger
Title of the journal / compilation (English):Innovations for Community Services : 17th International Conference, I4CS 2017, Darmstadt, Germany, June 26-28, 2017, Proceedings
Editor:Eichler Gerald, Erfurth Christian, Fahrnberger Günter
Place of publication:Cham
Publisher:Springer International Publishing
Year of publication:2017
Pages / Size:Seite 71-86
Collections:Communications in Computer and Information Science ; 717
Keywords:Fog computing; Hypriot Cluster Lab; ARM architecture; Container virtualization; Docker Swarm Mode; Kubernetes; High-availability
DOI:https://doi.org/10.1007/978-3-319-60447-3_6
ISBN:978-3-319-60446-6
ISBN:978-3-319-60447-3
Document Type:Conference publications
Language:English
Release Date:2017/11/27