A first look at traffic on smartphones

Using data from 43 users across two platforms, we present a detailed look at smartphone traffic. We find that browsing contributes over half of the traffic, while each of email, media, and maps contribute roughly 10%. We also find that the overhead of lower layer protocols is high because of small transfer sizes. For half of the transfers that use transport-level security, header bytes correspond to 40% of the total. We show that while packet loss is the main factor that limits the throughput of smartphone traffic, larger send buffers at Internet servers can improve the throughput of a quarter of the transfers. Finally, by studying the interaction between smartphone traffic and the radio power management policy, we find that the power consumption of the radio can be reduced by 35% with minimal impact on the performance of packet exchanges.

[1]  References , 1971 .

[2]  Hiroshi Esaki,et al.  The impact of residential broadband traffic on Japanese ISP backbones , 2005, CCRV.

[3]  Paramvir Bahl,et al.  Anatomizing application performance differences on smartphones , 2010, MobiSys '10.

[4]  Jon Crowcroft,et al.  Experiences with multimedia streaming over 2.5G and 3G networks , 2004 .

[5]  Anja Feldmann,et al.  On dominant characteristics of residential broadband internet traffic , 2009, IMC '09.

[6]  F. Ricciato,et al.  Composition of GPRS / UMTS traffic : snapshots from a live network , 2005 .

[7]  Konstantina Papagiannaki,et al.  Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices , 2010, MobiSys '10.

[8]  Yin Zhang,et al.  On the characteristics and origins of internet flow rates , 2002, SIGCOMM '02.

[9]  Pablo Rodriguez,et al.  Performance optimizations for wireless wide-area networks: comparative study and experimental evaluation , 2004, MobiCom '04.

[10]  Azer Bestavros,et al.  TCP over CDMA2000 Networks: A Cross-Layer Measurement Study , 2007, PAM.

[11]  Anja Feldmann,et al.  A First Look at Mobile Hand-Held Device Traffic , 2010, PAM.

[12]  Aleksandar Kuzmanovic,et al.  Measuring serendipity: connecting people, locations and interests in a mobile 3G network , 2009, IMC '09.

[13]  Kimberly Claffy,et al.  Internet traffic characterization , 1994 .

[14]  Youngseok Lee Measured TCP Performance in CDMA 1x EV-DO Network? , 2006 .

[15]  Gokhan Memik,et al.  Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures , 2009, 2009 42nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

[16]  James Won-Ki Hong,et al.  Measurement Analysis of Mobile Data Networks , 2007, PAM.

[17]  Arun Venkataramani,et al.  Energy consumption in mobile phones: a measurement study and implications for network applications , 2009, IMC '09.

[18]  Péter Benkö,et al.  A large-scale, passive analysis of end-to-end TCP performance over GPRS , 2004, IEEE INFOCOM 2004.

[19]  Deborah Estrin,et al.  Diversity in smartphone usage , 2010, MobiSys '10.