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.
Highlights
Embedded devices are ubiquitous nowadays, as they are affordable, low-energy consumption, and reasonably powerful
Our previous work shows that these embedded devices have much lower packet send-time accuracy compared to commodity PC
We present an automated testbed to systematically benchmark the performance of four popular embedded devices (Raspberry Pi I & II, ECS LIVA, and TP-LINK Travel Router) and determine the network types that they can accurately measure
Summary
Embedded devices are ubiquitous nowadays, as they are affordable, low-energy consumption, and reasonably powerful. A well-known example, Raspberry Pi, only costs about $30 US These devices are usually Linux-based and are able to provide many kinds of network services. The low-cost embedded devices, provide an inexpensive option for network administrators and researchers to employ them as lightweight measurement probes. Project BISMark [14], RIPE [1], and CAIDA’s Archipelago (Ark) [2], have already deployed more than hundreds of them as vantage points to measure the Internet from the edge We find that they have much lower packet send-time accuracy compared to commodity PC [12]. Based on the results which can be visualized through a web interface, the testbed can report the network types that each device can accurately measure
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