Abstract
The following article presents results of the research aimed at the possibility of software routing implemented into a Mini PC platform in IoT area. The article presents the basic principles of Quagga and Bird software routers. For every software router, its routing architecture in connection to the operating system is presented, including a draft of complex architecture of the software routing solution. In the research, emphasis was put on usability of the given platforms in software routing on the Mini PC platform. An analysis of Quagga and Bird platforms’ respective system resource requirements with the focus mainly on the CPU usage during routing on Humming-Board Gate and Raspberry Pi – Model B platforms, is also included. Furthermore, an analysis of the routing effectiveness using the given testing topology during the simultaneous use of both hardware solutions during the implementation of static and dynamic routing. Acquired results are presented using box graphs, with the course of long-term behavior during individual routings being depicted using 2nd period of moving average, which offers a relevant idea about the course of the routing and both routing daemons.
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Acknowledgement
This work and the contribution were supported by project of specific science “Computer networks for cloud, distributed systems, and Internet of Things”, Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. We would like also thank to students Lubos Mercl and Pavel Blazek.
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Horalek, J., Sobeslav, V. (2018). Analysis of Software Routing Solution Based on Mini PC Platform for IoT. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_42
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