Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
Energy-delay tradeoffs in smartphone applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
A ranking method for multimedia recommenders
Proceedings of the ACM International Conference on Image and Video Retrieval
Bartendr: a practical approach to energy-aware cellular data scheduling
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Characterizing radio resource allocation for 3G networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Energy-efficient mobile video management using smartphones
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Time-Dependent Broadband Pricing: Feasibility and Benefits
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
MultiNets: Policy Oriented Real-Time Switching of Wireless Interfaces on Mobile Devices
RTAS '12 Proceedings of the 2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium
Mobile user clustering in large time-scale data transfer scheduling
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Fusing prefetch and delay-tolerant transfer for mobile videos
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
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Today's mobile Internet is heavily overloaded by the increasing demand and capability of mobile devices, in particular, multimedia traffic. However, not all traffic is created equal, and a large portion of multimedia contents on the mobile Internet is delay tolerant. We study the problem of capitalizing the content transfer opportunities under better network conditions via postponing the transfers without violating the user-specified deadlines. We propose a new framework called SmartTransfer, which offers a unified content transfer interface to mobile applications. We also develop two scheduling algorithms to opportunistically schedule the content transfers. Via extensive trace-driven simulations, we show that our algorithms outperform a baseline scheduling algorithm by far: up to 17 times improvement in upload throughput and/or at most 20 dBm boost in signal strength. The simulation results also reveal various tradeoff between the two proposed scheduling algorithms. We have implemented our framework and one of the scheduling algorithms on Android, to demonstrate their practicality and efficiency.