Research Article
An automated testbed for profiling the packet send-time accuracy of embedded devices
@ARTICLE{10.4108/icst.tridentcom.2015.259826, author={Ricky K. P. Mok and Weichao Li and Rocky K. C. Chang and Kwok-Wun Yung and Ching-Ho Chan and Yat-Sing Poon}, title={An automated testbed for profiling the packet send-time accuracy of embedded devices}, journal={EAI Endorsed Transactions on Internet of Things}, volume={1}, number={2}, publisher={EAI}, journal_a={IOT}, year={2015}, month={8}, keywords={embedded devices, network measurement, packet send-time accuracy}, doi={10.4108/icst.tridentcom.2015.259826} }
- Ricky K. P. Mok
Weichao Li
Rocky K. C. Chang
Kwok-Wun Yung
Ching-Ho Chan
Yat-Sing Poon
Year: 2015
An automated testbed for profiling the packet send-time accuracy of embedded devices
IOT
EAI
DOI: 10.4108/icst.tridentcom.2015.259826
Abstract
Embedded devices, such as home routers or single-board computers, are becoming more powerful and affordable. Many of the existing Linux-based network measurement tools can also be run on these devices through cross-compilation. These features provide more incentive for network administrators or researchers to employ them as network measurement probes. Large-scale measurement projects, such as BISMark and RIPE, have already deployed more than hundreds of home routers as vantage points to measure the Internet from the edge.
Our previous work showed that these embedded devices have much lower packet send-time accuracy compared to commodity PC. The lower accuracy limits their ability to acquire sound measurement results in high-speed networks. In this poster, we present an automated testbed to systematically benchmark the performance of four popular embedded devices (Raspberry Pi I & II, ECS LIVA, and a TP-Link Travel Router) and suggest the network types that they can accurately measure. The testbed can also evaluate the performance of the kernel-space tools using OMware. The results can be visualized through a web interface, thus enabling users to compare various devices easily.
Copyright © 2015 R. K. P. Mok et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.