DocumentCode
1802860
Title
On the accuracy of smartphone-based mobile network measurement
Author
Weichao Li ; Mok, Ricky K. P. ; Daoyuan Wu ; Chang, Rocky K. C.
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
fYear
2015
fDate
April 26 2015-May 1 2015
Firstpage
370
Lastpage
378
Abstract
As most of mobile apps rely on network connections for their operations, measuring and understanding the performance of mobile networks is becoming very important for end users and operators. Despite the availability of many measurement apps, their measurement accuracy has not received sufficient scrutiny. In this paper, we appraise the accuracy of smartphone-based network performance measurement using the Android platform and the network round-trip time as the metric. We use a multiple-sniffer testbed to overcome the challenge of obtaining a complete trace for acquiring the required timestamps. Our experiment results show that the RTTs measured by the apps are all inflated, ranging from a few milliseconds (ms) to tens of milliseconds. Moreover, the 95% confidence interval can be as high as 2.4ms. A finer-grained analysis reveals that the delay inflation can be introduced both in the Dalvik VM (DVM) and below the Linux kernel. The in-DVM overhead can be mitigated but the other cannot be. Finally, we propose and implement a native app which uses HTTP messages for network measurement, and the delay inflation can be kept under 5ms for almost all cases.
Keywords
Android (operating system); delay estimation; smart phones; time measurement; Android platform; Dalvik VM; HTTP messages; Linux kernel; RTT; delay inflation; in-DVM overhead; measurement accuracy; measurement apps; mobile apps; mobile networks; multiple-sniffer testbed; network connections; network measurement; network round-trip time; smartphone-based network performance measurement; timestamps; Accuracy; Clocks; Delays; Kernel; Servers; Smart phones; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications (INFOCOM), 2015 IEEE Conference on
Conference_Location
Kowloon
Type
conf
DOI
10.1109/INFOCOM.2015.7218402
Filename
7218402
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