1. A First Look at Traffic on Smartphones Hossein Falaki Dimitrios Lymberopoulos Ratul Mahajan Srikanth Kandula Deborah Estrin

2. Exponential growth in mobile traffic CISCO VNI 2010 http://www.totaltele.com ratul | IMC | Nov 20102 http://www.readwriteweb.com

3. Two ways to understand smartphone traffic ratul | IMC | Nov 20103 1. Capture at a link in the network 2. Capture on the devices

4. Preliminary findings Browsing, email, media, and maps dominate traffic Small connection sizes lead to high overhead Throughput is bottlenecked by path loss and socket buffers at servers Tuning 3G radio timeout can significantly reduce power use with minimal performance impact ratul | IMC | Nov 20104

5. Datasets in our study ratul | IMC | Nov 20105 Dataset1Dataset2 # users1033 Platform 8 WM6, 2 Android Android Traffic granularityPacket-levelApp-level Duration (days/user)26-8449-147

6. Traffic exchanged per day ratul | IMC | Nov 20106 MB per day % of users (CDF)

7. Traffic composition ratul | IMC | Nov 20107 Bytes (%) Browsing58.0 Media10.8 Messaging (email, IM)10.3 Maps8.5 System5.8 Social networking4.2 Games0.4 Productivity0.2 Other1.8 [Dataset2]

8. Transfer sizes are small ratul | IMC | Nov 20108 Transfer size (KB) % of transfers (CDF) [Dataset1]

9. Lower-layer protocols have high overhead ratul | IMC | Nov 20109 Header overhead (% of bytes) % of xfers (CDF) Handshake overhead (% of time) [Dataset1]

10. Traffic throughput is low ratul | IMC | Nov 201010 Throughput (kbps) % of xfers (CDF) [Connections in Dataset1 with 10+ data packets in a direction]

11. Throughput bottlenecks ratul | IMC | Nov 201011 Uplink (%) Downlink (%) Packet loss81.061.5 Sender window4.127.4 Receiver window6.83.4 Bandwidth5.12.9 Transport0.70.0 Application0.0 Unknown2.44.8 [Connections in Dataset1 with 50+ data packets in a direction]

12. Conclusions Capturing traffic on smartphones provides a rich, detailed view of device traffic Findings from our preliminary analysis Browsing, email, media, and maps dominate traffic Small transfer sizes lead to high overhead Throughput is limited by loss and socket buffers Judicious radio timeouts can cut power consumption ratul | IMC | Nov 201012

13. ratul | IMC | Nov 201013 Ratio of WiFi traffic % of users (CDF)

14. Energy saving from radio timeout tuning ratul | IMC | Nov 201014