The wireless data drain of users, apps, & platforms

Authors:
Ardalan Amiri Sani;Zhiyong Tan;Peter Washington;Mira Chen;Sharad Agarwal;Lin Zhong;Ming Zhang
Affiliations:
Rice University;Rice University;Rice University;Rice University;Microsoft Research;Rice University;Microsoft Research
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2013

Citing 12
Cited 0

Diversity in smartphone usage

Proceedings of the 8th international conference on Mobile systems, applications, and services
A first look at traffic on smartphones

IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
LiveLab: measuring wireless networks and smartphone users in the field

ACM SIGMETRICS Performance Evaluation Review
Profiling resource usage for mobile applications: a cross-layer approach

MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Identifying diverse usage behaviors of smartphone apps

Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Periodic transfers in mobile applications: network-wide origin, impact, and optimization

Proceedings of the 21st international conference on World Wide Web
Web caching on smartphones: ideal vs. reality

Proceedings of the 10th international conference on Mobile systems, applications, and services
Informed mobile prefetching

Proceedings of the 10th international conference on Mobile systems, applications, and services
TUBE: time-dependent pricing for mobile data

Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Can we pay for what we get in 3G data access?

Proceedings of the 18th annual international conference on Mobile computing and networking
Screen-off traffic characterization and optimization in 3G/4G networks

Proceedings of the 2012 ACM conference on Internet measurement conference
How expensive are free smartphone apps?

ACM SIGMOBILE Mobile Computing and Communications Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

Cellular data consumption is an important issue for users and network operators. However, little is understood about data consumption differences between similar apps, smartphone platforms, and different classes of users. We examine data consumption behavior in the lab, comparing different apps of the same category, comparing the same top apps across different platforms, and comparing network APIs that apps use across different platforms. We also collect data from 387 Android users in India, where users pay for cellular data consumed, with little prevalence of unlimited data plans. Our findings can inform users on how their choice of platform and apps has a drastic impact on their data bill. Our findings can also inform operators on how to use incentives to induce desired data consumption.